ELF is a blockchain project that aims to create a "Linux eco-system" for blockchain. As of January 9, 2018, It has a circulating market cap of $610 million and is ranked as the #67 most valuable cryptocurrency. Full report by Crush Crypto: https://crushcrypto.com/aelf-crusher-jan-18/ PDF of the presentation: https://crushcrypto.com/wp-content/uploads/2018/01/CrushCrypto-Crusher-of-the-Month-aelf-ELF.pdf Download the free ICO Guide which contains 6 simple steps for analyzing any ICOs to find the winning projects: https://crushcrypto.com/youtube/ Note: This is not a paid review. We do not offer promotional or advertising services. Our content is based on our own research, analysis and personal opinion. _______________________________________ In our Crusher of the Month series we will select a coin or token each month that we have high conviction in. Here are some reasons why we selected ælf (ticker: ELF) for our January 2018 Crusher of the Month: #1: Hidden gem that is under the radar Not many people know about aelf because the project did not have a public ICO. It raised 55,000 ether through a private placement with leading VCs such as FBG Capital, Draper Dragon, Blocktower, AlphaBit, and others. Because aelf did not have a marketing campaign like most ICOs, many investors have not heard of the project or know what the project does. With so many institutional investors on board, we can have assurance that the team is qualified to carry out the project. #2: Rich feature of the blockchain While it is still too early to tell whether aelf will be successful, it strives to include many features that are highly desirable for the next generation of blockchains. It will contain the below main features: - Introduces the concept of main chain and multi-layer side chains to handle various commercial scenarios. One chain is designed for one use case, distributing different tasks on multiple chains and improve processing efficiency. For example, ticket issuance is of high frequency and a high volume of transactions per second in the system is desirable; digital legal contracts, on the other hand, require high security and reliability. - Enables aelf to communicate with external blockchain systems via messaging, e.g. Bitcoin, Ethereum. They interact with each other via the main chain in the form of Merkle tree and verification through external information input. The main chain contains the index of the system boundaries. Therefore, aelf does not seek to replace existing blockchains but rather aims to complement them. - Permits parallel processing for non-competing transactions and cloud-based services. During the process of Block formation, nodes assign transactions to different groups based on mutex of the transactions. Transactions within a group will be processed in sequence, while all groups will be processed simultaneously. - Enables scalable performance as computational power increases. The aelf kernel enables each node to operate on a cluster of computers. This means when more computational power joins the aelf ecosystem, it not only enhances system security but also grows transaction speed proportionally. - Permits stakeholders to approve amendments to the protocol, including redefining the consensus protocol; permits side chains to join or exit from main chain dynamically based on consensus protocol, therefore introducing competition and incentive to improve each side chain. The mainnet is scheduled to launch in May 2018, so we believe the token provides good value right now before the launch of mainnet. _______________________________________ Disclaimer The information in this video is for educational purposes only and is not investment advice. Please do your own research before making any investment decisions. Cryptocurrency investments are volatile and high risk in nature. Don't invest more than what you can afford to lose. Crush Crypto makes no representations, warranties, or assurances as to the accuracy, currency or completeness of the content contained in this video or any sites linked to or from this video.
Views: 19678 Crush Crypto
What is EMBARRASSINGLY PARALLEL? What does EMBARRASSINGLY PARALLEL mean? EMBARRASSINGLY PARALLEL meaning - EMBARRASSINGLY PARALLEL definition - EMBARRASSINGLY PARALLEL explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In parallel computing, an embarrassingly parallel workload or problem (also called perfectly parallel or pleasingly parallel) is one where little or no effort is needed to separate the problem into a number of parallel tasks. This is often the case where there is little or no dependency or need for communication between those parallel tasks, or for results between them. Thus, these are different from distributed computing problems that need communication between tasks, especially communication of intermediate results. They are easy to perform on server farms which lack the special infrastructure used in a true supercomputer cluster. They are thus well suited to large, Internet-based distributed platforms such as BOINC, and do not suffer from parallel slowdown. The opposite of embarrassingly parallel problems are inherently serial problems, which cannot be parallelized at all. A common example of an embarrassingly parallel problem is 3D video rendering handled by a graphics processing unit, where each frame (forward method) or pixel (ray tracing method) can be handled with no interdependency. "Embarrassingly" is used here in the same sense as in the phrase "an embarrassment of riches", meaning an overabundance—here referring to parallelization problems which are "embarrassingly easy". The term may also imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods." The term is first found in the literature in a 1986 book on multiprocessors by MATLAB's co-founder Cleve Moler, who claims to have invented the term. An alternative term, pleasingly parallel, has gained some use, perhaps to avoid the negative connotations of embarrassment in favor of a positive reflection on the parallelizability of the problems: "Of course, there is nothing embarrassing about these programs at all." Some examples of embarrassingly parallel problems include: Distributed relational database queries using distributed set processing Serving static files on a webserver to multiple users at once. The Mandelbrot set, Perlin noise and similar images, where each point is calculated independently. Rendering of computer graphics. In computer animation, each frame or pixel may be rendered independently (see parallel rendering). Brute-force searches in cryptography. Notable real-world examples include distributed.net and proof-of-work systems used in cryptocurrency. BLAST searches in bioinformatics for multiple queries (but not for individual large queries) Large scale facial recognition systems that compare thousands of arbitrary acquired faces (e.g., a security or surveillance video via closed-circuit television) with similarly large number of previously stored faces (e.g., a rogues gallery or similar watch list). Computer simulations comparing many independent scenarios, such as climate models. Evolutionary computation metaheuristics such as genetic algorithms. Ensemble calculations of numerical weather prediction. Event simulation and reconstruction in particle physics. The marching squares algorithm Sieving step of the quadratic sieve and the number field sieve. Tree growth step of the random forest machine learning technique. Discrete Fourier Transform where each harmonic is independently calculated. Convolutional neural networks running on GPUs.
Views: 340 The Audiopedia
Computop's omnichannel POS solutions are PCI P2PE certified and enable merchants to set up highly secure data transfer without any risk of data breaches.
Views: 802 ComputopTV
Quantum laser pointers brings you the infamous double slit experiment right in the palm of your hand. In 1801 English physicist Thomas Young performed this experiment to determine if light was a particle or a wave. A laser shines a coherent beam of light through a film disc containing two parallel slits. Light striking the wall behind the slits producers a classic interference pattern. This surprising result means light passes through the parallel slits not as particles but as waves. When the peaks of two waves overlap it creates a band of light. When the peak of one wave meets the valley of another, light is cancelled out. Variations of this experiment spurred public debates between Albert Einstein and Neils Bohr on the true nature of reality. It’s been called the granddaddy of all quantum weirdness. This convenient and affordable double slit laser was designed for personal enjoyment and education.
Views: 224 Quantum Laser Pointers
This talk by Prasad Rao is an exploration of some work in progress that resulted from an attempt to answer these questions: 1) How to arrive at a multicore reference implementation of the Sakura tree hash mode? 2) How to enable communication of "shape" between the entity that computes a cryptographic tree hash with the verifier of this hash? 3) How well does this reference implementation scale w.r.t. the number of cores, sizes of inputs, and variety of shapes? 4) How to do all this without becoming an expert on C++ parallel programming? This talk is introductory and self-contained. All that is required of the audience is willingness and ability to read Haskell code. Code: https://gist.github.com/raoprasadv/f9... Meetup Link: http://www.meetup.com/NY-Haskell/even... New York Haskell Meetup, September 23, 2015
Views: 477 NYC Haskell User's Group
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 2160 Udacity
What is POST-QUANTUM CRYPTOGRAPHY? What does POST-QUANTUM CRYPTOGRAPHY mean? POST-QUANTUM CRYPTOGRAPHY meaning - POST-QUANTUM CRYPTOGRAPHY definition - POST-QUANTUM CRYPTOGRAPHY explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Post-quantum cryptography refers to cryptographic algorithms (usually public-key algorithms) that are thought to be secure against an attack by a quantum computer. This is not true for the most popular public-key algorithms, which can be efficiently broken by a sufficiently large quantum computer. The problem with the currently popular algorithms is that their security relies on one of three hard mathematical problems: the integer factorization problem, the discrete logarithm problem or the elliptic-curve discrete logarithm problem. All of these problems can be easily solved on a sufficiently powerful quantum computer running Shor's algorithm. Even though current, publicly known, experimental quantum computers are too small to attack any real cryptographic algorithm, many cryptographers are designing new algorithms to prepare for a time when quantum computing becomes a threat. This work has gained greater attention from academics and industry through the PQCrypto conference series since 2006 and more recently by several workshops on Quantum Safe Cryptography hosted by the European Telecommunications Standards Institute (ETSI) and the Institute for Quantum Computing. In contrast to the threat quantum computing poses to current public-key algorithms, most current symmetric cryptographic algorithms and hash functions are considered to be relatively secure against attacks by quantum computers. While the quantum Grover's algorithm does speed up attacks against symmetric ciphers, doubling the key size can effectively block these attacks. Thus post-quantum symmetric cryptography does not need to differ significantly from current symmetric cryptography.
Views: 251 The Audiopedia
Parallelism abounds in modern hardware—from the datacenter to multi-cores, GPUs, and FPGAs. On the other hand, important algorithms, such as graph algorithms, dynamic programming, and finite-state machine processing involve fine-grained dependencies and do not directly map on to this parallel hardware. Harnessing the parallelism available for these algorithms requires new algorithms, new programming languages, and new runtime systems. This session will present recent advances in this area and will serve as forum for bringing together researchers from diverse disciplines—such as algorithms, programming languages, compilers and runtime, machine-learning, architecture, and systems—into this exciting research area.
Views: 825 Microsoft Research
Learn different types of firewall, types of firewall software, types of hardware firewall, different types of firewalls, types of firewalls, types firewall, types of firewalls in network security, different types of hardware firewalls, types of firewall, different types of firewall, firewall configuration types, firewall types, 7 types of firewall, types of firewall in network security, types of firewall with diagram, firewall and types of firewall, types of network firewalls, firewall and its types, what is firewall and types of firewall, types of firewall architecture, types of firewall in networking, different types of firewall in network security, what is firewall and write the types of firewall, types of firewall attacks, firewall and types, firewall types and configuration, different types of firewalls and their functions. Follow us on Facebook: https://www.facebook.com/DGTechTerms/ Follow us on Twitter: https://twitter.com/Technical_Terms Firewalls protect our computers from internet hackers. Internet hackers can steal our bank details from our computers and can reduce our bank balance from 1000s of dollars to 0 in seconds. So, firewall is must in a computer / computer network. Starting with packet filtering firewall. Suppose, I am downloading a file from internet. When the data-packet arrives a packet-filtering firewall, it only checks sender’s and receiver’s IP address and the port number. If the everything is OK, then data packet is allowed to pass through packet-filtering firewall and then to my computer. This checking process is done as per rules written in a list called access control list. The only limitation (caveats) of packet filtering firewall is that it do not checks the data portion, i.e. Payload, of the data packet. So, a hacker could send some malicious data packed in this payload section. The 2nd one is application / proxy firewall: proxy firewall do not let the web server know which computer actually wants to visit the requested website, i.e. proxy firewall hides us from the attackers in internet. Since, the application firewalls also check the data contents of the received data packet so they are generally much slower than packet-filtering firewalls. 3rd is Hybrid firewalls: Hybrid firewalls combines packet filtering firewall and application firewall in series to enhance the security. If they are connected in parallel then the security of the connection will be reduced to the parameters defined by the packet filtering firewall, i.e. application firewall will be of no use if the two firewalls are connected in parallel. For this reason, hybrid firewalls use packet filtering and application firewall in series. -~-~~-~~~-~~-~- Please watch: "Computer Network Administrator – 5 Important Questions and answers" https://www.youtube.com/watch?v=4mKcQ1_vQjc -~-~~-~~~-~~-~-
Views: 289165 TechTerms
What is FRONT-END PROCESSOR? What does FRONT-END PROCESSOR mean? FRONT-END PROCESSOR meaning - FRONT-END PROCESSOR definition - FRONT-END PROCESSOR explanation. SUBSCRIBE to our Google Earth flights channel - http://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ?sub_confirmation=1 Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. A front end processor (FEP), or a communications processor, is a small-sized computer which interfaces to the host computer a number of networks, such as SNA, or a number of peripheral devices, such as terminals, disk units, printers and tape units. Data is transferred between the host computer and the front end processor using a high-speed parallel interface. The front end processor communicates with peripheral devices using slower serial interfaces, usually also through communication networks. The purpose is to off-load from the host computer the work of managing the peripheral devices, transmitting and receiving messages, packet assembly and disassembly, error detection, and error correction. Two examples are the IBM 3705 Communications Controller and the Burroughs Data Communications Processor. Sometimes FEP is synonymous with a communications controller, although the latter is not necessarily as flexible. Early communications controllers such as the IBM 270x series were hard wired, but later units were programmable devices. Front end processor is also used in a more general sense in asymmetric multi-processor systems. The FEP is a processing device (usually a computer) which is closer to the input source than is the main processor. It performs some task such as telemetry control, data collection, reduction of raw sensor data, analysis of keyboard input, etc. Front-end processes relates to the software interface between the user (client) and the application processes (server) in the client/server architecture. The user enters input (data) into the front-end process where it is collected and processed in such a way that it conforms to what the receiving application (back end) on the server can accept and process. As an example, the user enters a URL into a GUI (front-end process) such as Microsoft Internet Explorer. The GUI then processes the URL in such a way that the user is able to reach or access the intended web pages on the web server (application server known as the “back end” process). Front-end processors or communications processors relates to efficient use of the host CPU by off-loading processing for peripheral control, as an example, to another device or controller. FEPs are responsible for linking client applications and their associated networks to host computer based applications. With the advent of the Internet and of IP as a universal protocol, it is often assumed that there is no longer any need for FEPs, which traditionally handled SNA traffic. This may be true where FEPs provide only straight connectivity (and assuming IP address never changes). However, FEPs also perform other vital functions, that are closely linked to transaction applications, including message and transaction switching, multiplexing, transaction security, Quality of Service guarantors, and end-to-end transaction management and reporting. The need for these functions is especially important in mission critical transaction environments such as banking, government, point-of-sale, security, and health care applications. In these environments, FEP functionality is more necessary than ever before. Although the IBM Corporation withdrew its 3745/3746 Communications Front End Processors from marketing in 2003, the company continues to maintain the estimated 20,000 installed front end processors. IBM also provides microcode enhancement features. Smaller companies have filled the void created by IBM's action, providing machines, features, parts and services worldwide.
Views: 377 The Audiopedia
Parallel design patterns (also referred as skeletons) allow to express computations in terms of well known patterns and have allowed to have a common vocabulary (e.g. reduce, map/reduce, stencil, …). In this talk I will present GrPPI (Generic and reusable Parallel Patterns Interface), an experimental library developed at UC3M for expressing parallelism through patterns. The talk will focus specially in stream parallelism. A model of computation where items are processed in a pipelined mode and which is suitable for a number of applications where flow of data need to be processed (examples range from video processing to tweet sentiment analysis). I will also highlight the composability property of streaming patterns which allows using them as building blocks to express complex computations. One of the design principles of GrPPI is its support of multiple back-ends. It currently supports sequential, OpenMP, IntelTBB, and plain threads (ISO C++ threads). More backends are on the way (e.g. Thrust or SYCL). GrPPI is open source and available at github (https://github.com/arcosuc3m/grppi).
Views: 740 ACCU Conference
Where are the limits of human technology? And can we somehow avoid them? This is where quantum computers become very interesting. Check out THE NOVA PROJECT to learn more about dark energy: www.nova.org.au Support us on Patreon so we can make more stuff: https://www.patreon.com/Kurzgesagt?ty=h Get the music of the video here: https://soundcloud.com/epicmountain/quantum-computers https://epicmountainmusic.bandcamp.com/track/quantum-computers http://epic-mountain.com Wakelet: https://wakelet.com/wake/42ji9UMJzN?v=st Or follow us on social media or reddit: http://kurzgesagt.org https://www.reddit.com/r/kurzgesagt https://www.facebook.com/Kurzgesagt https://twitter.com/Kurz_Gesagt THANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US: Tamago231, H.H. Lewis, Kirin Tantinon, David, Max Lesterhuis, Marek Belski, Gisle, Colin Millions, Gregory Wolfe II, Lenoir Preminger, Abel X, Matt Knights, Amjad Al Taleb, Ian Bruce, Kris Wolfgramm, 麒麟 于, Christopher Shaw, 靖羊, Tomas Grolmus, Essena O’Neill, Kyle Messner, Pedro Devoto, Mark Radford, Ann-Marie Denham, Davide Pluda, Rik Vermeer, Justin Ritchie, Nicole White, Whireds, Claus Vallø, Jason Talley, Andrew Wu, Christian Dechery, Michael Howell, Michal Hanus, Cavit, Amary Wenger, JDKBot, Jason Eads, FreedomEagleAmerica, Roberto Maddaloni, TiagoF11, Harsha CS, Abhimanyu Yadav, Tracy Tobkin, Mike Fuchs, Elizabeth Mart, Jacob Wenger, Jeff Udall, Ricardo Affonso, Mauro Boffardi, Audrin Navarro, Troy Ross, Keith Tims, Santiago Perez, James, Jack Devlin, Chris Peters, Kenny Martin, Frederick Pickering, Lena Savelyeva, Ian Seale, Charles Ju, Brett Haugen, David Ramsey, Benjamin Dittes, Michelle Schoen, Albert Harguindey Sanchez, Michael King, Alex Kyriacou Alla Khvatova Thomas Rowan, Siim Sillamaa, David Bennell, Janzen,Bryn Farnsworth, Adam Recvlohe, Manuel Arredondo, Fred McIntyre, Maldock Manrique, Дмитрий, Ishita Bisht, Jake Ludwig, Zach Seggie, Casey Sloan, Myndert Papenhuyzen, rheingold3, AncientCulture, Orion Mondragon, Jan, Michael Kuperman, Alexander Argyropoulos Quantum Computers Explained – Limits of Human Technology Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Views: 9618766 Kurzgesagt – In a Nutshell
For more on spin, check out: http://youtu.be/v1_-LsQLwkA This video was supported by TechNYou: http://bit.ly/19bBX5G A quantum computer works in a totally different way from a classical computer. Quantum bits or 'qubits' can exist in a superposition state of both zero and one simultaneously. This means that a set of two qubits can be in a superposition of four states, which therefore require four numbers to uniquely identify the state. So the amount of information stored in N qubits is two to the power of N classical bits. Thank you to Andrea Morello and UNSW. For more info, check out: http://bit.ly/17wZ7lt
Views: 3099326 Veritasium
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1803 Udacity
Google Tech Talk 1/8/13 Presented by Nigel P. Smart ABSTRACT Multi-Party Computation (MPC) allows, in theory, a set of parties to compute any function on their secret input without revealing anything bar the output of the function. For many years this has been a restricted to a theoretical tool in cryptography. However, in the past five years amazing strides have been made in turning theory into practice. In this talk I will present the latest, practical, protocol called SPDZ (Speedz), which achieves much of its performance advantage from the use of Fully Homomorphic Encryption as a sub-procedure. No prior knowledge of MPC will be assumed. Speaker Info University of Bristol, U.K.
Views: 10166 GoogleTechTalks
When computers became commodity hardware and storage became incredibly cheap, we entered the era of so-call "big" data. Most definitions of big data will include something about not being able to process all the data on a single machine. Distributed computing is required for such large datasets. Getting an algorithm to run on data spread out over a variety of different machines introduced new challenges for designing large-scale systems. First, there are concerns about the best strategy for spreading that data over many machines in an orderly fashion. Resolving ambiguity or disagreements across sources is sometimes required. This episode discusses how such algorithms related to the complexity class NC.
Views: 139 Data Skeptic
The Dr Robert Sutor, the VP - IBM Q Strategy and Ecosystem (IBM Research), presents us with a disruptive talk about qualitative computation and how it will change the whole world in "CONGRESO DEL FUTURO 2019," The Scientific / Citizen Festival, the largest science congress in Latin America and one of the largest in the world. Dr. Sutor has an undergraduate degree from Harvard College and a Ph.D. from Princeton University, both in Mathematics. WHAT KIND DO WE WANT TO BE? Executive responsible for driving the strategy, business, ecosystem, and awareness for the IBM Q quantum computing program. In this role I work across IBM to bring together essential functions to rapidly extend the footprint of IBM Q as the industry-leading quantum computing hardware/software platform. CONGRESO DEL FUTURO 2019 With world-class exhibitors and much more that will debate its ideas and research in fascinating talks about the great issues that will define our future, communicating directly and closely with the citizenship, inviting us to become aware of our reality and the changes that are about to come. Congreso del Futuro brings together the most renowned scientists and humanists of the world to address the challenges that arise in the field of science and knowledge, to generate dialogue and reflection that will define our society in the social, political, cultural and economic. ROBERT SUTOR Quantum Computing | AI | Keynote Speaker VP - IBM Q Strategy and Ecosystem, IBM Research Innovative leader and technologist with strong experience in quantum computing, AI, blockchain, analytics, data science, mobile apps and technologies, cloud, social media, open source, and industrial research. A strategic and operational executive with a demonstrated ability to transform his company and the IT industry around leading edge technologies. A persuasive, global professional with an international reputation as a thought leader in emerging technologies. An inspiring communicator with exceptional presentation skills and the ability to help others understand deeply technical topics and how they will help drive significant innovation in the future. more information on https://www.linkedin.com/in/bobsutor/ http://www.sutor.com/c/welcome-to-my-website/ https://twitter.com/snarky_android El CONGRESO DEL FUTURO #SCIENCE from #CHILE with 130 world-class exhibitors This Scientific / Citizen convention put Chile on the world map of scientific dissemination. Organized by the Senate of Chile and the Encuentros de Futuro Foundation, it has new prizes, world-class exhibitors and much more that will debate its ideas and research in fascinating talks about the great issues that will define our future, communicating directly and closely with the citizenship, inviting us to become aware of our reality and the changes that are about to come. What kind do we want to be? #ECOWR #Create More information at http://www.congresofuturo.cl Robert Sutor [IBM] "The Power of Quantum Computing" at Congreso Futuuro 2019 via TV SENADO Chile (CC BY)
Views: 204 EcoworldReactor
What is EOS? EOS is blockchain based software & a platform created to support decentralized apps (aka dapps) that runs on delegated proof-of-stake consensus algorithm & was created by Dan Larimer. When observed through this over-simplified definition, EOS may bear a resemblance to Ethereum. But there are a few key differences. Whereas Ethereum can be somewhat viewed as a global computer, EOS.io is more similar to a global operating system. EOS provides databases, accounts, authentication, asynchronous communication, and the scheduling of applications across numerous CPU cores or clusters. Through its ownership model, EOS effectively eliminates transaction fees while boasting a potential throughput of millions of transactions per second. The technological basis for its creation comes from past proven ventures such as blockchain social platform Steemit and BitShares, a decentralized asset exchange. EOS co-founder, Daniel Larimer designed the graphene blockchain technology that powers both Steemit and BitShares. He also created the Delegated Proof of Stake algorithm that lies at the heart of EOS. The backbone of EOS’ nimble construct is its Delegated Proof-of-Stake (or DPos) consensus algorithm, which is tailor-fitted to meet the performance challenges required by dapps on the blockchain. 21 nodes (also known as witnesses) are elected through voting preference by token holders, and they're the only ones that can produce blocks. The EOS software enables these witnesses to create blocks every half second. Blocks are generated in rounds of 126 (or 6 blocks times 21 producers). Forks are unlikely to take place with DPoS, as block production is encouraged to be more of a cooperative process than a competitive one. DPoS in EOS comes with an added asynchronous Byzantine Fault Tolerance algorithm, which ensures the 100% confirmation of irreversibility within 1 second. The developers’ description of the EOS software highlights that it enables the vertical and horizontal scaling of decentralized applications. EOS relies on Graphene technologyThe open-source EOS software is scheduled for release in June of 2018, and even though it'll run single threaded, it'll allegedly include the necessary data structures for future parallel execution. Asynchronous communication and parallel execution are key features to ensuring EOS’ infinite-scaling potential. Users won’t have to go through the process again once a block is irreversibly added to the blockchain. EOS.io users will be able to selectively run applications they need, and configure nodes to process data they want. It therefore wouldn’t be necessary to run social media apps if the desired process is to run an exchange. Operational maintenance of the blockchain doesn’t require the participation of every node. An added flexibility feature comes from the DPoS consensus mechanism. EOS.io has also been designed with inter-chain communication in mind, and this, in short, is achieved by facilitating the generation process for proof-of-action existence and proof-of-action sequence. EOS.io will include self-describing database schemas and self-describing interfaces, meaning blockchain data will be human-readable. It'll also support many of the known programming languages such as Rust, Solidity, and C++. It uses a declarative permission scheme that enables a finely-tuned delegation of permission across accounts. Its power becomes real on a launched blockchain that integrates with the EOS.IO software. The company currently building the EOS software has stated that it has no intention of launching any public blockchain adopting said software after its open-source release. The distinction between “software” and “platform” has been very stressed upon. EOS.IO is the software currently under development, while the EOS Platform will be used to refer to the blockchain that adopts it. On a launched blockchain using the EOS software, the EOS token was designed to follow an ownership model instead of a “rental” model, which effectively eliminates transaction fees. This model gives EOS token holders access to the network’s storage, bandwidth, and processing power proportional to the stake they hold. Increasing the volume of available network resources is achieved by purchasing more EOS tokens. This enables developers to gradually scale up their applications while also receiving reliable bandwidth and computing power. Aside from the initial purchase of EOS tokens, zero transactions fees means no network development cost. EOS tokens also constitute a tool used in the voting process that decides which nodes will become block producers. It’s necessary to become an EOS token holder in order to obtain voting rights. Disclaimer: This is not financial advice. I absolve myself of all responsibility (directly or indirectly) for any damage, loss caused, alleged to be caused by, or in connection with the use of or reliance on any content, goods or services mentioned in this article. As usual, DYOR.
Views: 6057 Crypto Coin Consultants
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 850 Udacity
https://www.deepbrainchain.org/ https://t.me/deepbrainchain ****This is a Sponsored Video***** Amount Received: $2500 --DeepBrain Chain $DBC-- Of course DeepBrain is focusing on artificial intelligence, but DeepBrain Chain is aiming to become THE deep learning machine for the AI industry. --Moving away from NEO-- DeepBrain has decided to move away from the Neo Blockchain $NEO to their own blockchain. They will continue to partner with NEO, and provide computing power through its platform, also utulizing the NEO Virtual Machine and smart contracts, as well as provide services for NEO dAPPs in the future. --Consensus Mechanism-- You would think DeepBrain is a proof of work consensus (POW) since there is mining, but actually its a hybrid mechanism of proof of importance (POI) and delegated proof of stake(POS). The idea behind proof of importance is the more you benefit the network, the more you should be rewarded. Each address is given a trust score, and by being active on the network it goes higher, which means more of a chance of getting a reward. Delegated proof of stake, is defined by a number of delegates who process blocks and get rewards based on voting weight from the network. --Multichain Framework-- To achieve scalability in the future, DeepBrain has a multi-chain framework with additional working chains. The mainchain contains the schema definition of each working chain, leading to an unlimited number of working chains. Each of these working chains comprise of sharding blockchains, and each shard has it’s own consensus node. This will allow the network to achieve parallel processing and scale to millions of transactions per second. --DeepBrain Mining-- The mining mechanism of Deepbrain chain is very clever. 70 percent of the miners revenue comes from the mining pool mentioned above, while 30 percent comes from the cost of computing from the users of the platform. For the 70 percent mining revenue, each miner is rewarded based on the ratio of total power they contribute to the overall network. By employing this dual mechanism, the chain maximizes the interest of the miners and the users. Check Out My Website https://chicocrypto.com/ Link To Purchase Chico Crypto Sweater https://goo.gl/Sf4hrR Follow Me On Twitter https://twitter.com/ChicoCrypto Join The Chat On Telegram https://t.me/chicocrypto Add Me on Lit: @chicocrypto Beer Money Donations BTC-1MRZnYYpMwrmhG6oEd9HYbSzJoVSvPdih9 ETH-0x6b0e08fac3c9d71f44fc0bb8e3ec31ddc2dc04cf Won't Take Your NEO or NEOGas HODL Those Puppies DISCLAIMER: I am not a financial adviser. I am just a dude who knows crypto like the back of his hand. Be responsible for your own trades!
Views: 4446 Chico Crypto
According to professor Seth Lloyd, the answer is yes: "Everything in the universe is made of chunks of information called bits." A researcher in Mechanical Engineering at MIT, Lloyd is one of the leaders in the field of quantum information. Decades ago, the feasibility of developing quantum computing devices was challenged. Now, as quantum computation is producing actual technologies, we are only left to wonder—what kind of applications will it provide us with next? To begin understanding if the universe is a giant quantum computer—that is, a computer that operates using the principles of quantum mechanics—we must first understand the building blocks. What is information? According to Lloyd, everything in the universe is made of chunks of information called bits. These are the zeroes and ones that an engineer uses as the building blocks of computer software. Atoms themselves are also bits of information. Tiny particles such as electrons, whose positions and velocities we cannot know for certain, are described by quantum mechanics. We can only give an estimate as to where an electron might be, and how fast it is moving. Before we make the measurement, the electron could be in any position, at the same time. In a regular computer, information is encoded as bits interpreted as either 0 or 1. In a quantum computer, this information comes in slightly different variety – quantum bits, or “qubits”. These qubits can be in one state, in another, or somewhere in between. A classical computer can read only one bit at a time, while a quantum computer will read all possible combinations. This means that quantum computers can give us a completely new and incredibly fast means of computing, such as factoring large numbers or evaluating extremely complex algorithms used for data analysis in finance, science, or cryptography. Just like a quantum computer, physical processes involve the exchange and processing of information. Ed Fredkin first proposed that the Universe could be a computer in the 1960’s, as well as Konrad Zuse who came up with the idea independently. In their view, the Universe could be a type of computer called a cellular automaton, which describes a dynamic system that is broken apart into black and white grids, in which cells gather information from the surrounding cells on whether or not to change color. This is similar to the way a line or moving colony of ants might share information between each other about their surroundings, signaling to each other whether or not to follow a food trail. However, this initial analogy to such sharing of information turned out to be not quite accurate. Regular computers are not so good at simulating quantum systems that do not follow the “yes” or “no” kind of signals, since quantum systems can have mixed signals! These are called the superposition of states, and can only be simulated by a quantum rather than classical computer. Since the universe itself is best described by quantum mechanics, Lloyd suggests that “quantum computing allows us to understand the universe in its own language.” Physicists are not the only ones keen to reap the benefits of quantum computing; companies like IBM and Canadian D-wave as well as agencies like the CIA and NSA are also investing heavily in quantum computation research. The universe, however, might have already invested in a quantum computer. After all, information is processed in a very quantum mechanical way both on a tiny and large scale. The efficiency of these processes in our universe may very well suggest its true nature—of a quantum kind. (August 2016) Watch the rest of "Seth Lloyd on Programming the Universe" at TVOChannel: https://youtu.be/I47TcQmYyo4 (July 2012) Visit: https://www.facebook.com/SpaceAndIntelligence
Views: 26111 Space And Intelligence
Matthias Troyer visited Google LA to speak about "High Performance Quantum Computing." This talk took place on December 2, 2014. Abstract: As the outlines of a roadmap to building powerful quantum devices becomes more concrete an important emerging question is that of important real-world applications of quantum computers. While there exist many quantum algorithms which asymptotically outperform classical algorithms, asymptotic superiority can be misleading. In order for a quantum computer to be competitive, it needs to not only be asymptotically competitive but be able to solve problems within a limited time (for example one year) that no post-exa-scale classical supercomputer can solve within the same time. This search for a quantum killer-app turns out to be a formidable challenge. Using quantum chemistry simulations as a typical example, it turns out that significant advances in quantum algorithms are needed to achieve this goal. I will review how substantial improvements and optimized massively parallel implementation strategies of quantum algorithms have brought the problem of quantum chemistry from the realm of science fiction closer to being realistic. Similar algorithmic improvements will be needed in other areas in order to identify more “killer apps” for quantum computing. I will end with a short detour to quantum annealers and present a summary of our recent results on simulated classical and quantum annealing. Bio: Matthias Troyer is professor of computational physics at ETH Zurich where he teaches advanced C++ programming, high performance computing, and simulations methods for quantum systems. He is a pioneer of cluster computing in Europe, having been responsible for the installation of the first Beowulf cluster in Europe with more than 500 CPUs in 1999, and the most energy efficient general purpose computer on the top-500 list in 2008. He is a Fellow of the American Physical Society and his activities range from quantum simulations and quantum computing to the development of novel simulation algorithms, high performance computing, and computational provenance. He is, the author of the Boost MPI C++ library for message passing on parallel computers, and the leader of the open-source ALPS library for the simulation of quantum many body systems.
Views: 14153 GoogleTechTalks
What is EOS? How Does it Work? https://blockgeeks.com/guides/eos-blockchain/ EOS is a smart contract platform much like Ethereum. EOS, however, promises the ability to perform millions of transactions per second, without any fees! How could this be possible, given the scalability of other major blockchains? In this guide, we dive into what EOS is doing differently to achieve this, and what those choices mean for the network. What Does EOS Blockchain Bring To The Table? Let’s check out some of the features of EOS. #1 Scalability The biggest problem that the blockchain based space is facing is scalability issue Visa manages 1667 transactions per second while Paypal manages 193 transactions per second. Compared to that, Bitcoin manages just 3-4 transactions per second while Ethereum fairs slightly better at 20 transactions per second. The reason why blockchain-based applications can’t compute that many transactions per second are because each and every node of the network must come to a consensus for anything to go through. EOS are claiming that because they use DPOS aka the distributed proof-of-stake consensus mechanism, they can easily compute millions of transactions per second. We will explore DPOS in a bit. #2 Flexibility Ethereum’s entire system came to a standstill because of the DAO attack. Everything stopped and the community got split because of the hardfork. Because EOS uses DPOS this is unlikely to happen again in their ecosystem. If a DAPP is faulty, the elected block producers can freeze it until the system is taken care of. This is simply an extension of the DPOS system, not every node has to take care of chain maintenance. #3 Usability EOS allows well-defined levels of permission by incorporating features like web toolkit for interface development, self-describing interfaces, self-describing database schemas, and a declarative permission scheme. #4 Governance In EOS the Governance is maintained by establishing jurisdiction and choice of law along with other mutually accepted rules This is usually done via the legally binding constitution. Every single transaction in EOS must include the hash of the constitution to the signature. This, in essence, binds the users to the constitution. The constitution and protocol can be amended by the following process: The change is proposed by the block producer who obtains a 17/21 approval rate The 17/21 approval must be maintained for 30 straight days. All users are required to sign off their transaction using the hash of the new constitution. Block producers adopt changes to the source code to reflect the change in the constitution and propose it to the blockchain using the hash of a git commit. Block producers again need to maintain 17/21 approval for 30 consecutive days. After that, full nodes are given one whole week to adapt to the new changes. Any node that doesn’t follow the new protocol is automatically shut down. So what happens if something like the DAO happens and the EOS system is forced to look for a quick change and solution to the protocol? In emergencies like that the block producers have the power to speed up the amending process. #5 Parallel Processing In parallel processing, program instructions are divided among multiple processors. By doing this, the running time of that program decreases greatly. EOS provides parallel processing of smart contracts through horizontal scalability, asynchronous communication, and interoperability. For more blockchain guides, courses, and videos, visit us over at blockgeeks.com!
Views: 12593 Blockgeeks
Views: 974 Udacity
Vectorization, as opposed to parallelization, is less utilized as a means of exploiting the full capabilities of a processor. This is a problem since even today this means only ¼ to ½ of the performance of the CPU is used. This is only getting worse in future, especially as accelerators are becoming more prevalent. After an introduction to the basics and history of vectorization the talk will introduce various techniques available for vectorization of compiled code. This talk will focus on gcc and for some details on Linux but the knowledge should be transferable if the features are fully implemented elsewhere. Ulrich Drepper http://dx.doi.org/10.1145/2742580.2742805
Views: 12205 Association for Computing Machinery (ACM)
Zilliqa ICO review! Zilliqa is a high throughput blockchain platform using sharding to solve the blockchain scalability issue by increasing the number of processable transactions per second (TPS). Zilliqa is a next-generation blockchain platform designed to scale in an open, secure, permissionless distributed network. Zilliqa is the first platform to implement sharding on a public blockchain, a core feature that enables the platform to tackle the same scalability issues that major blockchains are currently facing. Zilliqa uses transaction sharding, which basically means that the network is divided into smaller component networks that are able to process transactions in parallel. Scalability essentially refers to an increase in the throughput of blockchain technolgy, or simply put, it’s an improvement on the number of transactions per second (TPS) that a blockchain can process. Nevertheless, the team behind Zilliqa believes they’ve found a way to rival these numbers and offer a much needed solution to the blockchain scalability issue. Each group of 600 nodes is referred to as a “shard.” If, for example, the network was to operate with 1,800 nodes, it would divide itself into 3 ‘shards’. Each of these shards is tasked with processing a fraction of the network’s transactions. As the shards work in parallel, their assigned transactions are processed into microblocks. The “DS epoch” represents the end of this parallel processing period and the moment when microblocks are assembled into a full block, which becomes part of the blockchain. Nodes are assigned shards randomly, but will also know if they're part of the same shard. Several nodes will be chosen to manage the various shards for each DS epoch in a democratic and decentralized way. These randomly selected managing nodes are known as the Directory Service Committee (or DS Committee for short). They're tasked with directing the network and deciding which nodes are assigned to which shard. The DS Committee assigns new transaction requests to a shard for processing, and will ultimately assemble the microblocks that the shards created into a full block. The DS Committee then runs consensus on the new block before it becomes part of the blockchain. While transaction sharding is a fairly straightforward process requiring little communication between shards, the same cannot be said when it comes to running decentralized apps or smart contracts on a sharded blockchain. The actions of smart contracts must often depend on checking other variables, states, or functions. Shards would have to communicate a lot, which in turn would require processing power or bandwidth, and this can end up neutralizing the advantages of sharding. At the moment, an efficient and secure state sharding scheme has yet to be found. When contracts are allowed to run separately in various sharded states, there are a number of potential issues. These include excessive cross-shard communication, challenges to reconciliation, or the risk of contracts becoming more vulnerable to potential attacks. Ethereum is working on developing a potential solution to state sharding. Smart contracts on Zilliqa will only focus on data flow and functional programming; not yet allowing for checking, changing, or storing states. Scilla is a new programming language developed by the Zilliqa team, the syntax of which is similar to Solidity, but with one major difference. Scilla works through a separation of state and function, meaning it distinguishes between the communication aspect of a contract and the computational work it performs. Zilliqa doesn’t use proof-of-work to reach consensus, but rather, as a means of preventing Sybil attacks & establishing identities. Since energy usage associated with processing transactions in Zilliqa will be lower, the cost of processing transactions on the miners’ side will also be reduced. The high throughput in Zilliqa means that the aggregated sum of incentives from several transactions will compensate for the low fee per transaction. ZIL is the token native to the Zilliqa ecosystem, and it'll be used for paying transaction fees, as a mining incentive, or as gas for contract execution. ZIL is currently an ERC20 token based on the Ethereum blockchain that may be exchanged for Zilliqa-native tokens once the mainnet is launched. Zilliqa was conceived out of a well-funded initiative from the University of Singapore. Xinshu Dong, a cybersecurity expert with several national security projects in Singapore to his name, will act as Zilliqa's CEO. Prateek Saxena, a research professor in computer science at the National University of Singapore, is the project’s Chief Scientific Advisor. Disclaimer: This is not financial advice. I absolve myself of all responsibility (directly or indirectly) for any damage, loss caused, alleged to be caused by, or in connection with the use of or reliance on any content, goods or services mentioned in this article. As usual, do your own research.
Views: 8162 Crypto Coin Consultants
A university project of mine: Running the AES (Rijandel) block cipher on my GeForce 9600GTS. I achieved high data rates (about 130MB/s with the CTR mode of operation). The project is aimed at CUDA 2.2 and available for download on my homepage. Thanks for anyone who tests the tool with even more powerful cards, it should scale very well.
Views: 3642 linuxgeek81
Quantum Physics has given a lot of amazing things to humanity in the last few decades. From the technology with which you can track cheating spouses, to accurately scanning broken bones and muscles in the hospital, there are actually many practical applications of Quantum Physics. But if you believe the words of those nerdy scientists who are actually studying the discipline, many more revolutionary discoveries are yet to come (and that doesn’t just include more weird sci-fi movies). →Subscribe for new videos every day! https://www.youtube.com/user/toptenznet?sub_confirmation=1 Help us translate our videos: https://www.youtube.com/timedtext_cs_queue?msg=10&tab=0 - Learn more why you might want to help: https://support.google.com/youtube/answer/6052538 Find more lists at: http://www.toptenz.net Entertaining and educational top 10 lists from TopTenzNet! Subscribe to our Facebook: https://www.facebook.com/TopTenz/ Business inquiries to [email protected] Other TopTenz Videos: Top 10 Objects That Were Clearly Invented Just to Annoy Physics https://youtu.be/0MVGeRa-vLo?list=PLQ4d2-ByGhnKNxJ-0WBuO_bl54ynbD6o- Top 10 Awesome Things You Can Do With Household Objects https://youtu.be/OQl_hVW7lc0?list=PLQ4d2-ByGhnKNxJ-0WBuO_bl54ynbD6o- Text version: http://www.toptenz.net/10-revolutionary-implications-quantum-physics.php Coming up: 10. Nuclear Fusion Power Plants 9. Perfect Timekeeping 8. Extreme Computing 7. Intergalactic Travel 6. Extremely Secure Cryptography 5. Incredibly Detailed Optic Devices 4. Tackling Diseases and Ailments in the Human Body 3. Finding Evidence of Parallel Universes and the Multiverse 2. Shatter our Concept of Time and Space 1. Consciousness Makes Reality Source/Further reading: https://youtu.be/cDXqikzUwBU https://www.forbes.com/sites/ethansiegel/2015/06/22/its-the-power-of-quantum-mechanics-that-allow-the-sun-to-shine/ http://www.azonano.com/news.aspx?newsID=6031 https://youtu.be/w_-_H9eBte8 http://mkaku.org/home/articles/the-physics-of-interstellar-travel/ https://youtu.be/UiJiXNEm-Go https://www.osapublishing.org/ol/abstract.cfm?uri=ol-41-6-1094 https://youtu.be/kC1aPOqoYWc http://www.space.com/32728-parallel-universes.html http://www.physicscentral.com/explore/plus/timeless.cfm http://www.news.com.au/lifestyle/quantum-scientists-offer-proof-soul-exists/news-story/a02f2d9db939472b1a29d758c54e6a8d https://cdn.pixabay.com/photo/2017/02/01/10/04/bones-2029338_960_720.png https://upload.wikimedia.org/wikipedia/commons/6/67/Varsha_ys.jpg https://upload.wikimedia.org/wikipedia/commons/d/df/Sun_in_X-Ray.png https://upload.wikimedia.org/wikipedia/commons/1/1d/TunnelEffektKling1.png https://www.youtube.com/watch?v=cDXqikzUwBU https://www.jpl.nasa.gov/images/mars/20140723/mars20140723-full.jpg https://upload.wikimedia.org/wikipedia/commons/thumb/4/41/Atomic_Clock048.jpg/993px-Atomic_Clock048.jpg https://upload.wikimedia.org/wikipedia/commons/9/9e/CoCo3system.jpg https://pixnio.com/free-images/objects/electronics-devices/computer-components-pictures/computer-chips-circuits-boards-725x544.jpg https://c1.staticflickr.com/6/5069/5683402003_3aae311aa1_b.jpg https://www.youtube.com/watch?v=w_-_H9eBte8 https://upload.wikimedia.org/wikipedia/commons/d/de/Terraforming_of_Mars.jpg http://maxpixel.freegreatpicture.com/static/photo/1x/Soyuz-Launch-Spaceship-Shuttle-Spacecraft-Space-1099402.jpg https://upload.wikimedia.org/wikipedia/commons/7/70/Wormhole_travel_as_envisioned_by_Les_Bossinas_for_NASA.jpg https://cdn.pixabay.com/photo/2016/09/21/16/11/hacking-1685092_960_720.jpg https://static.pexels.com/photos/34577/pexels-photo.jpg https://www.youtube.com/watch?v=LaLzshIosDk http://www.toptenz.net/wp-content/uploads/2017/05/telescope.jpg https://upload.wikimedia.org/wikipedia/commons/f/f0/Mobile_X-ray_machine.jpg https://c1.staticflickr.com/6/5532/11937781733_bd60ac6a3a_b.jpg
Views: 58098 TopTenz
In this video find out answer to what is EOS question. EOS blockchain seeks to become a decentralized operating system that can support decentralized industrial scale applications. It strives to become a provider of all the necessary functions including databases, accounts with different levels of permissions, authentication and communication between applications and the Internet. The main team behind EOS is "Block.one" whose headquarters are on the Cayman Islands. Brendon Blumer is the CEO, and he has been involved in the blockchain community since 2014. He is the maker of the Delegated Proof of Stake and the man behind the BitShares (decentralized exchange) and Steem platform. Steemit is a blogger platform with its own STEEM token. Tokens are distributed daily to creators of content as a prize, based on a common vote. WHAT IS EOS? EOS is not officially defined as acronym. The attitude of the team itself looks like this: "We believe EOS means different things to different people. We have received many surprising interpretations of what EOS stands for or what it should stand, so we decided not to formally define it. " Some of the suggestions are: Ethereum On Steroids, End of Silence, Endless Online Scaling, etc. EOS FUTURE EOS wants to be the maximum scalable platform for the development of decentralized applications. Currently Ethereum is the only such functional platform but it has many disadvantages to be corrected to become generally accepted in the future. The two main features the EOS team seeks to achieve is the following: They plan to completely remove transaction fees - through a proprietary model where users have coins and have the right to use network resources proportional to their share instead of having to pay for each transaction. They claim to have the ability to perform millions of transactions per second (as we have repeatedly written Bitcoin currently submits 4-5 transactions per second while Ethereum 10-15). High transaction costs and poor bandwidth represent Ethereum's critical weaknesses, so these features make EOS a serious candidate for the title of the best platform for the development of decentralized applications. EOS is currently an ERC-20 token. To start the EOS ecosystem, the team will allocate $ 1 billion of their sales to fund projects built on the EOS network to begin with at least 1000 dApps when the EOS blockchain is launched. MAIN FEATURES OF EOS The EOS proprietary model allows developers to predict hosting costs for the app. It only requires them to maintain a certain percentage or coin share level and allow them to create free apps. The EOS also introduces the ability to fix bugs and the ability to modify a smart deal with a supermajority consesus instead of requiring hard-fork. This is possible because of the EOS Delegated Proof of Share, where nodes-delegates or delegates are selected from the entire community to make high-level decisions faster without opting for the entire network. Although this makes the blockchain somewhat decentralized, it contributes to the developers the ability to change the smart deal and after being set up on the blockchain. Parallel processing of program instructions is divided into multiple processors. Thus, the program time is greatly reduced. EOS provides parallel processing of smart deals through horizontal scalability, asynchronous communication and interoperability. EOS's asynchronous communication and parallel processing enable scalability, while its proprietary model eliminates transactional fees. *************************** Crypto World is channel about blockchain, cryptocurrencies and everything about crypto. Bitcoin is first cryptocurrency, developed back in 2009. It is also first implement of the blockchain technology. Until today, there are more than 1500 cryptocurrencies on the market, all with different purpose. Learn about new blockchain technology and why is it future. Also learn everything about most popular cryptocurrencies. ------------- SUBSCRIBE FOR MORE VIDEOS! :) LIKE AND COMMENT! :)
Views: 59 Crypto World
In the section, you'll find our video description, along with links to ALL OF OUR CONTENT. 👨👦👦 JOIN US On YouTube, you'll only find a fraction of our content. Join our Twitter and Telegram social channels to see all of it. 👉👉 Telegram COMMUNITY - https://goo.gl/zBKLAL 👈👈 🐦 TWITTER - https://goo.gl/pHw3BC 🐦 🔊 Telegram CHANNEL - https://goo.gl/3MiZg6 🔊 What's the difference between the Telegram community and the channel? The community is where you can chat with me, our knowledgeable admins and other 'gurus' in the community. The channel is where I post important announcements so it's the best place to make sure you never miss a post. ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● 👉👉 Subscribe Here - https://goo.gl/8bDqQY 👈👈 ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● ⌚TIME JUMPS 1:44 - What Is Tatau? 2:38 - Team 3:57 - Tatau Token Use 4:55 - Token Velocity 6:32 - Positives 8:38 - Negatives 10:52 - Tatau ICO Metrics 12:16 - Conclusion ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● 🔗 LINKS Tatau Website - https://tatau.io/ Tatau Telegram - https://telegram.me/tatau_io ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● 📃VIDEO DESCRIPTION What is Tatau? What is distributed computing with a blockchain? In this video, I attempt to answer the questions above by carrying out a thorough analysis of the upcoming Tatau ICO. In my opinion, distributed computing will be one of the most successful industries to develop from the many use cases of blockchain; the cost savings and increased efficiency from the current market demonstrate the hallmarks of an upcoming market disruption. As a result of this though, many new blockchain-based projects are launching in their attempts to dominate this newly developing market. Tatau is a project with strong fundamentals and an obvious use case BUT they are launching into a highly competitive market sector. Is this enough to put me off investing or will be committing my funds to the project? Find out above. ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● Disclaimer: None of this is financial advice. Please remember that all of our videos are simply our personal opinions. I don't claim to be a market expert and I'm only human so I will make mistakes from time to time. Always do your own research and never invest more than you can afford to lose. Investments can go up and down with cryptocurrencies being an especially volatile market.
Views: 714 Crypto Gurus
CompTIA has RETIRED the N10-006 exam series! See NEW CompTIA Network+ videos: http://professormesser.link/007course Network+ Training Course Index: http://professormesser.link/n10006 Professor Messer’s Course Notes: http://professormesser.link/n10006cn Frequently Asked Questions: http://professormesser.link/faq - - - - - Any password-based security system can be attacked by trying every possible password. In this video, you’ll learn about brute force attacks, password files, and how hackers can abbreviate the brute force process with dictionaries. - - - - - Download entire video course: http://professormesser.link/006vdyt Get the course on MP3 audio: http://professormesser.link/006adyt Subscribe to get the latest videos: http://professormesser.link/yt Calendar of live events: http://www.professormesser.com/calendar/ FOLLOW PROFESSOR MESSER: Professor Messer official website: http://www.professormesser.com/ Twitter: http://www.professormesser.com/twitter Facebook: http://www.professormesser.com/facebook Instagram: http://www.professormesser.com/instagram Google +: http://www.professormesser.com/googleplus
Views: 27607 Professor Messer
This code reads raw text from an input notepad. It is then encrypted using RSA encryption algorithm. This encrypted text is then hidden in the 8 bit planes of an input grayscale image. This image is then read back, embedded encrypted text from the bit planes are read back, it is then decrypted, then the resulting raw text is displayed. MSE PSNR between original image and encrypted text embedded image is shown. Code will work for any amount of text in the input notepad. There is no limitation. Code can be modified based on customer requirements. If you are interested in buying this code, please drop an email to [email protected], or please visit matlabz.com
Views: 9535 Matlabz T
This video was recorded at SAI Conference 2014 - http://saiconference.com/Computing More about SAI Conference at http://www.conference.thesai.org Complex numbers play a unique and important role in engineering applications such as digital signal processing and image processing. These days, arithmetic operations involving complex numbers are usually carried out by the application of "divide-and-conquer" technique, whereby a complex number is broken-up into its real and imaginary parts and then operations are carried out on each part as if it was a part of the real arithmetic. Finally, the overall result of the complex operation is obtained by accumulation of the individual results. For instance, addition of two complex numbers (a+jb) and (c+jd) requires two separate additions (one for the real part and one for the imaginary part) while multiplication of the same two complex numbers requires four multiplications (ac, ad, bc, bd), one subtraction (j2bd = bd ), and one overall addition. This can be effectively reduced to just one complex addition or only one multiplication and addition respectively for the given cases if each complex number is represented as one unit instead of two individual units. In an effort to provide single-unit representation to complex numbers, both mathematicians and engineers have tried to define binary numbers with bases other than 2. This includes work by Donald E. Knuth in 1960, Walter Penney in 1964, and V. Stepanenko in 1996. In this presentation, I'll provide a tutorial on (1+j)-base binary number system which allows complex numbers the opportunity to be represented as a single unit like their counterparts in the "real"-world. I'll also outline procedures for addition, subtraction, multiplication, and division of two such complex binary numbers and present hardware designs of nibble-size complex binary adder, subtractor, multiplier, and divider circuits. Finally, I’ll discuss how we can incorporate this unique number system in today’s microprocessor’s technology and enhance parallel processing paradigm utilizing associative memory in a dataflow environment. An innovation patent on Complex Binary Associative Dataflow Processor has been granted by the Australian Patent Office in 2010 whose details will also be presented in this tutorial. About the Speaker: Dr. Tariq Jamil is a faculty member in the Department of Electrical and Computer Engineering at Sultan Qaboos University (SQU, Oman) where he teaches and does research in the areas of computer architecture, parallel processing, computer arithmetic, and cryptography. Before joining the faculty at SQU in year 2000, he had been a lecturer at the University of New South Wales, Sydney (Australia) and the University of Tasmania, Launceston (Australia). Dr. Jamil holds a B.Sc. (Honors) degree in electrical engineering from the NWFP University of Engineering and Technology (Pakistan) and M.S./Ph.D. degrees in computer engineering from the Florida Institute of Technology (USA). He has authored three books (the latest one is on Complex Binary Number System published by Springer), holds an Australian Innovation Patent on Complex Binary Associative Dataflow Processor, and has written over forty research papers in refereed international conferences and journals. He has been a recipient of research grants from the Australian Research Council and SQU. On account of his outstanding academic achievements and for contributions to activities related to the computing discipline, he was awarded the IEEE Computer Society(USA)/Upsilon Pi Epsilon Honor Society Award for Academic Excellence (1996). Dr. Jamil has served as a distinguished speaker in the IEEE Computer Society (USA) Distinguished Visitors Program (DVP) and his biography has been published in such renowned directories as Marquis's Who's Who in the World (USA), Who's Who in Science and Engineering (USA), and Dictionary of International Biography (UK). He is a senior member of IEEE (USA), member of the IET (UK), a Chartered Engineer (UK), and a registered Professional Engineer. The tutorial at SAI Conference 2014 is expected to give further impetus to the research on this topic around the world. Upcoming Conference: https://saiconference.com/FTC
Views: 594 SAIConference
ECSE-4540 Intro to Digital Image Processing Rich Radke, Rensselaer Polytechnic Institute Lecture 21: Digital watermarking (4/27/15) 0:00:03 History of digital watermarking 0:00:42 Related terms (cryptography, steganography) 0:04:25 Definition of watermarking 0:06:41 Currency, TV, and cinema watermarking 0:13:37 Watermark embedding and detection 0:17:56 Desirable properties of watermarks 0:23:15 Simple spatial watermarks 0:25:13 Least-significant-bit watermarking 0:27:36 Adding blocks of pseudorandom noise 0:31:54 Frequency-domain watermarking using significant DCT coefficients 0:37:57 Cox et al.'s spread-spectrum watermarking 0:44:50 Matlab example of embedding, attacking, and detection 0:58:33 Video watermarking For more information, see http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=650120
Views: 10351 Rich Radke
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Views: 1012 PG Embedded Systems
One of the strangest features of quantum mechanics is also potentially its most useful: entanglement. By harnessing the ability for two particles to be intimately intertwined across great distances, researchers are working to create technologies that even Einstein could not imagine, from quantum computers that can run millions of calculations in parallel, to new forms of cryptography that may be impossible to crack. Join us as we explore the coming age of quantum technology, which promises to bring with it a far deeper understanding of fundamental physics. PARTICIPANTS: Jerry Chow, Julia Kempe, Seth Lloyd, Kathy-Anne Soderberg MODERATOR: George Musser Original program date: JUNE 3, 2017 FIND OUT MORE ABOUT THE PROGRAM AND PARTICIPANTS: https://www.worldsciencefestival.com/programs/the-qubit-revolution/ This program is part of the Big Ideas Series, made possible with support from the John Templeton Foundation. SUBSCRIBE to our YouTube Channel for all the latest from WSF VISIT our Website: http://www.worldsciencefestival.com/ LIKE us on Facebook: https://www.facebook.com/worldsciencefestival FOLLOW us on Twitter: https://twitter.com/WorldSciFest Introduction of Participants 00:25 Program Begins: Quantum mechanics, weird or unfamiliar? 01:38 How much power is 20 Qubit's? 10:28 What are the pros and cons of Superconducting quantum computing? 25:55 The factorization problem 40:01 Is there a relationship between quantum computing and machine learning? 48:31 Q & A 54:17 This program was filmed live at the 2017 World Science Festival and edited for YouTube.
Views: 48199 World Science Festival
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Views: 65200 VoskCoin
Dr. Umit Catalyurek from Georgia Institute of Technology presents a lecture titled " Modern Computing: Cloud, Distributed, & High Performance." Lecture abstract This lecture is a brief crash course on computer architecture, high performance computing and parallel computing. We discuss how to classify computer architectures and applications, and what to look for in applications to achieve the best performance on different architectures. View slides https://drive.google.com/open?id=0B4IAKVDZz_JUUWd3SzJBcjZLUzQ About the Speaker Ümit V. Çatalyürek is a Professor in the School of Computational Science and Engineering in the College of Computing at the Georgia Institute of Technology. He received his Ph.D. in 2000 from Bilkent University. He is a recipient of an NSF CAREER award and is the primary investigator of several awards from the Department of Energy, the National Institute of Health, and the National Science Foundation. He currently serves as an Associate Editor for Parallel Computing, and as an editorial board member for IEEE Transactions on Parallel and Distributed Computing, and the Journal of Parallel and Distributed Computing. Dr. Çatalyürek was the founding General Chair of the 1st ACM International Health Informatics Symposium in 2010, the Program Chair of the 5th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB) in 2014, General Chair of ACM-BCB 2016, the Workshops Chair of IPDPS 2010-2015, the Algorithms Track Chair of SC15 and IPDPS 2016. He also serves on the program committees and organizing committees of numerous international conferences. He is a Fellow of IEEE, member of ACM and SIAM, and the Chair for IEEE TCPP for 2016-2017, and Vice-Chair for ACM SIGBio for 2015-2018 term. Çatalyürek has co-authored more than 200 peer-reviewed articles, invited book chapters and papers. His main research areas are in parallel computing, combinatorial scientific computing and biomedical informatics. More information about Dr. Çatalyürek can be found at http://cc.gatech.edu/~umit. Join our weekly meetings from your computer, tablet or smartphone. Visit our website to learn how to join! http://www.bigdatau.org/data-science-seminars
This simple program will display "Hello World" to the console. The screen output will be produced by the GPU instead of the CPU.
Views: 5211 Daniel Ross