New York, NY, April 01, 2020 (GLOBE NEWSWIRE) — ACM, the Association for Computing Machinery, today announced that David Silver is the recipient of the 2019 ACM Prize in Computing for breakthrough advances in computer game-playing. Silver is a Professor at University College London and a Principal Research Scientist at DeepMind, a Google-owned artificial intelligence company based in the United Kingdom. Silver is recognized as a central figure in the growing and impactful area of deep reinforcement learning.
Silver’s most highly publicized achievement was leading the team that developed AlphaGo, a computer program that defeated the world champion of the game Go, a popular abstract board game. Silver developed the AlphaGo algorithm by deftly combining ideas from deep-learning, reinforcement-learning, traditional tree-search and large-scale computing. AlphaGo is recognized as a milestone in artificial intelligence (AI) research and was ranked by New Scientist magazine as one of the top 10 discoveries of the last decade.
AlphaGo was initialized by training on expert human games followed by reinforcement learning to improve its performance. Subsequently, Silver sought even more principled methods for achieving greater performance and generality. He developed the AlphaZero algorithm that learned entirely by playing games against itself, starting without any human data or prior knowledge except the game rules. AlphaZero achieved superhuman performance in the games of chess, Shogi, and Go, demonstrating unprecedented generality of the game-playing methods. The ACM Prize in Computing recognizes early-to-mid-career computer scientists whose research contributions have fundamental impact and broad implications. The award carries a prize of $250,000, from an endowment provided by Infosys Ltd. Silver will formally receive the ACM Prize at ACM’s annual awards banquet on June 20, 2020 in San Francisco.
Computer Game-Playing and AI Teaching computer programs to play games, against humans or other computers, has been a central practice in AI research since the 1950s. Game playing, which requires an agent to make a series of decisions toward an objective—winning—is seen as a useful facsimile of human thought processes. Game-playing also affords researchers results that are easily quantifiable—that is, did the computer follow the rules, score points, and/or win the game?
At the dawn of the field, researchers developed programs to compete with humans at checkers, and over the decades, increasingly sophisticated chess programs were introduced. A watershed moment occurred in 1997, when ACM sponsored a tournament in which IBM’s DeepBlue became the first computer to defeat a world chess champion, Gary Kasparov. At the same time, the objective of the researchers was not simply to develop programs to win games, but to use game-playing as a touchstone to develop machines with capacities that simulated human intelligence.
“Few other researchers have generated as much excitement in the AI field as David Silver,” said ACM President Cherri M. Pancake. “Human vs. machine contests have long been a yardstick for AI. Millions of people around the world watched as AlphaGo defeated the Go world champion, Lee Sedol, on television in March 2016. But that was just the beginning of Silver’s impact. His insights into deep reinforcement learning are already being applied in areas such as improving the efficiency of the UK’s power grid, reducing power consumption at Google’s data centers, and planning the trajectories of space probes for the European Space Agency.”
“Infosys congratulates David Silver for his accomplishments in making foundational contributions to deep reinforcement learning and thus rapidly accelerating the state of the art in artificial intelligence,” said Pravin Rao, COO of Infosys. “When computers can defeat world champions at complex board games, it captures the public imagination and attracts young researchers to areas like machine learning. Importantly, the frameworks that Silver and his colleagues have developed will inform all areas of AI, as well as practical applications in business and industry for many years to come. Infosys is proud to provide financial support for the ACM Prize in Computing and to join with ACM in recognizing outstanding young computing professionals.”
Silver is credited with being one of the foremost proponents of a new machine learning tool called deep reinforcement learning, in which the algorithm learns by trial-and-error in an interactive environment. The algorithm continually adjusts its actions based on the information it accumulates while it is running. In deep reinforcement learning, artificial neural networks—computation models which use different layers of mathematical processing—are effectively combined with the reinforcement learning strategies to evaluate the trial-and-error results. Instead of having to perform calculations of every possible outcome, the algorithm makes predictions leading to a more efficient execution of a given task.
Learning Atari from ScratchAt the Neural Information Processing Systems Conference (NeurIPS) in 2013, Silver and his colleagues at DeepMind presented a program that could play 50 Atari games to human-level ability. The program learned to play the games based solely on observing the pixels and scores while playing. Earlier reinforcement learning approaches had not achieved anything close to this level of ability.
Silver and his colleagues published their method of combining reinforcement learning with artificial neural networks in a seminal 2015 paper, “Human Level Control Through Deep Reinforcement Learning,” which was published in Nature. The paper has been cited nearly 10,000 times and has had an immense impact on the field. Subsequently, Silver and his colleagues continued to refine these deep reinforcement learning algorithms with novel techniques, and these algorithms remain among the most widely-used tools in machine learning.
AlphaGo The game of Go was invented in China 2,500 years ago and has remained popular, especially in Asia. Go is regarded as far more complex than chess, as there are vastly more potential moves a player can make, as well as many more ways a game can play out. Silver first began exploring the possibility of developing a computer program that could master Go when he was a PhD student at the University of Alberta, and it remained a continuing research interest.
Silver’s key insight in developing AlphaGo was to combine deep neural networks with an algorithm used in computer game-playing called Monte Carlo Tree Search. One strength of Monte Carlo Tree Search is that, while pursuing the perceived best strategy in a game, the algorithm is also continually investigating other alternatives. AlphaGo’s defeat of world Go champion Lee Sedol in March 2016 was hailed as a milestone moment in AI. Silver and his colleagues published the foundational technology underpinning AlphaGo in the paper “Mastering the Game of Go with Deep Neural Networks and Tree Search” that was published in Nature in 2016.
AlphaGo Zero, AlphaZero and AlphaStar Silver and his team at DeepMind have continued to develop new algorithms that have significantly advanced the state of the art in computer game-playing and achieved results many in the field thought were not yet possible for AI systems. In developing the AlphaGo Zero algorithm, Silver and his collaborators demonstrated that it is possible for a program to master Go without any access to human expert games. The algorithm learns entirely by playing itself without any human data or prior knowledge, except the rules of the game and, in a further iteration, without even knowing the rules.
Later, the DeepMind team’s AlphaZero also achieved superhuman performance in chess, Shogi, and Go. In chess, AlphaZero easily defeated world computer chess champion Stockfish, a high-performance program designed by grandmasters and chess programming experts. Just last year, the DeepMind team, led by Silver, developed AlphaStar, which mastered the multiple-player video game StarCraft II, which had been regarded as a stunningly hard challenge for AI learning systems.
The DeepMind team continues to advance these technologies and find applications for them. Among other initiatives, Google is exploring how to use deep reinforcement learning approaches to manage robotic machinery at factories. Biographical BackgroundDavid Silver is Lead of the Reinforcement Learning Research Group at DeepMind, and a Professor of Computer Science at University College London. DeepMind, a subsidiary of Google, seeks to combine the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms.
Silver earned Bachelor’s and Master’s degrees from Cambridge University in 1997 and 2000, respectively. In 1998 he co-founded the video games company Elixir Studios, where he served as Chief Technology Officer and Lead Programmer. Silver returned to academia and earned a PhD in Computer Science from the University of Alberta in 2009. Silver’s numerous honors include the Marvin Minksy Medal (2018) for outstanding achievements in artificial intelligence, the Royal Academy of Engineering Silver Medal (2017) for outstanding contribution to UK engineering, and the Mensa Foundation Prize (2017) for best scientific discovery in the field of artificial intelligence.
About the ACM Prize in ComputingThe ACM Prize in Computing recognizes an early to mid-career fundamental innovative contribution in computing that, through its depth, impact and broad implications, exemplifies the greatest achievements in the discipline. The award carries a prize of $250,000. Financial support is provided by an endowment from Infosys Ltd. The ACM Prize in Computing was previously known as the ACM-Infosys Foundation Award in the Computing Sciences from 2007 through 2015. ACM Prize recipients are invited to participate in the Heidelberg Laureate Forum, an annual networking event that brings together young researchers from around the world with recipients of the ACM A.M. Turing Award, the Abel Prize, the Fields Medal, and the Nevanlinna Prize.
About ACM ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
About InfosysInfosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Jim Ormond
Association for Computing Machinery
WISeKey is Adapting its R&D and Extended Patents Portfolio to the Post-COVID 19 Economy with Specific Focus on Post-Quantum Cryptography
WISeKey is Adapting its R&D and Extended Patents Portfolio to the Post-COVID 19 Economy with Specific Focus on Post-Quantum CryptographyWith more than 25% of its 2019 annual turnover invested in R&D, WISeKey is a significant and recognized contributor to digital trust in an interconnected world. The Company’s recent publication and a conference presentation about post-quantum cryptography illustrates once again that innovation is at the heart of the Company.WISeKey is involved in this NIST PQC (Post-Quantum Cryptography) program with the only objective of providing future-proof digital security solutions based on existing and new hardware architecturesGeneva, Switzerland – May 28, 2020: WISeKey International Holding Ltd. (“WISeKey”) (SIX: WIHN, NASDAQ: WKEY), a leading global cybersecurity and IoT company, published today a technical article (https://www.wisekey.com/articles-white-papers/) discussing how to guarantee digital security and protect against hackers who will take advantage of the power of quantum information science. This research was presented (video here: https://www.wisekey.com/videos/) during the remote International Workshop on Code-Based Cryptography (CBCrypto 2020 – Zagreb, Croatia – May 9-10 2020).IoT products are a major component of the 4th industrial revolution which brings together advances in computational power, semiconductors, blockchain, wireless communication, AI and data to build a vast technology infrastructure that works nearly autonomously.According to a recent report published by Fortune Business Insights™ and titled “Internet of Things (IoT) Market Size, Share and Industry Analysis By Platform (Device Management, Application Management, Network Management), By Software & Services (Software Solution, Services), By End-Use Industry (BFSI, Retail, Governments, Healthcare, Others) And Regional Forecast, 2019 – 2026.”, the IoT market was valued at USD 190.0 billion in 2018. It is projected to reach USD 1,102.6 billion by 2026, with a CAGR of 24.7% in the forecast period. Huge advances in manufacturing have allowed even small manufacturers to produce relatively sophisticated IoT products. This brings to the surface issues related to patents governing IoT products and communication standards governing devices.Studies about quantum computing, namely “how to use quantum mechanical phenomena to perform computation”, were initiated in the early 1980s. The perspectives are endless and the future computers will get an incredible computing power when using this technology. When used by hackers, these computers will become a risk to cybersecurity: all the cryptographic algorithms used today to secure our digital world are exposed. Therefore, the US National Institute of Standards and Technology (NIST) launched in 2016 a wide campaign to find new resistant algorithms.WISeKey’s R&D department is very much involved in this NIST PQC (Post-Quantum Cryptography) program with the only objective to provide the market with future-proof digital security solutions based on existing and new hardware architectures. The new article reports one of the Company’s current contributions to this safer cyber future. ROLLO-I, a NIST shortlisted algorithm, was implemented on some of WISeKey’s secure chips (MS600x secure microcontrollers, VaultIC™ secure elements, …) with countermeasures to make them robust against attacks.Although nobody exactly knows when quantum computers are going to be massively available, this is certainly going to happen. WISeKey is significantly investing to develop new technologies and win this race.“With a rich portfolio of more than 100 fundamental individual patents and 20 pending ones in various domains including the design of secure chips, Near Field Communication (NFC), the development of security firmware and backend software, the secure management of data, the improvement of security protocols between connected objects and advanced cryptography, to mention a few, WISeKey has become a key technology provider in the cybersecurity arena,” says Carlos Moreira, Founder and CEO of WISeKey. “This precious asset makes WISeKey the right Digital Trust Partner to deploy the current and future Internet of Everything.”Want to know more about WISeKey’s Intellectual Properties? Please visit our website: https://www.wisekey.com/patents/.About WISeKeyWISeKey (NASDAQ: WKEY; SIX Swiss Exchange: WIHN) is a leading global cybersecurity company currently deploying large scale digital identity ecosystems for people and objects using Blockchain, AI and IoT respecting the Human as the Fulcrum of the Internet. WISeKey microprocessors secure the pervasive computing shaping today’s Internet of Everything. WISeKey IoT has an install base of over 1.5 billion microchips in virtually all IoT sectors (connected cars, smart cities, drones, agricultural sensors, anti-counterfeiting, smart lighting, servers, computers, mobile phones, crypto tokens etc.). WISeKey is uniquely positioned to be at the edge of IoT as our semiconductors produce a huge amount of Big Data that, when analyzed with Artificial Intelligence (AI), can help industrial applications to predict the failure of their equipment before it happens.Our technology is Trusted by the OISTE/WISeKey’s Swiss based cryptographic Root of Trust (“RoT”) provides secure authentication and identification, in both physical and virtual environments, for the Internet of Things, Blockchain and Artificial Intelligence. The WISeKey RoT serves as a common trust anchor to ensure the integrity of online transactions among objects and between objects and people. For more information, visit www.wisekey.com.Press and investor contacts:Disclaimer:
This communication expressly or implicitly contains certain forward-looking statements concerning WISeKey International Holding Ltd and its business. Such statements involve certain known and unknown risks, uncertainties and other factors, which could cause the actual results, financial condition, performance or achievements of WISeKey International Holding Ltd to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. WISeKey International Holding Ltd is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.
This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities, and it does not constitute an offering prospectus within the meaning of article 652a or article 1156 of the Swiss Code of Obligations or a listing prospectus within the meaning of the listing rules of the SIX Swiss Exchange. Investors must rely on their own evaluation of WISeKey and its securities, including the merits and risks involved. Nothing contained herein is, or shall be relied on as, a promise or representation as to the future performance of WISeKey.
Singapore Chooses VANTIQ to Support Digital Transformation Projects
SAN FRANCISCO and SINGAPORE, May 27, 2020 (GLOBE NEWSWIRE) — VANTIQ announced today that it was enrolled by Singapore’s Infocomm Media Development Authority (IMDA) to join a select group of innovative technology companies helping local government agencies and enterprises develop transformative digital tools.
VANTIQ provides a platform that lets customers build next-generation applications that combine real-world data and real-time events. VANTIQ powers a broad array of applications for smart cities, smart buildings, oil and gas, telecom, healthcare and other industries.VANTIQ is now a participant in the nation’s SG:D Spark Programme, which was launched in 2018 to help promising Singapore-based ICM start-ups address key challenges through selected government tools and support from leading industry partners.IMDA selects the companies through a rigorous evaluation process, looking for companies with innovative and unique technology to help build a vibrant ICM community and network to drive the growth of the Singapore ICM ecosystem. VANTIQ’s enrollment in the program will give it access to a broad array of leading industry partners, government tools, and priority processing of grants by IMDA.“VANTIQ is delighted to be chosen for the SG:D Spark program, and we look forward to supporting the digital transformation of businesses in Singapore,” said Steve Goh, vice president of APAC for VANTIQ. “As Singapore strives to realize its digital economy vision, we look forward to working with local partners to spur the process of digital transformation.”About VANTIQ
VANTIQ enables customers to build next-generation applications that combine real-world data and real-time events. Our agile development environment allows complex applications to be created in weeks with minimal coding, taking full advantage of artificial intelligence (AI), Internet of Things (IoT) and edge computing. VANTIQ powers a broad array of applications for smart cities, smart buildings, oil and gas, telecom, healthcare and other industries. VANTIQ was founded in 2015 by technology veterans Marty Sprinzen and Paul Butterworth, co-founders of Forte Software. Learn more at www.vantiq.com.Media Contacts:Dave Reddy, Big Valley Marketing for VANTIQ, email@example.com
Steve Goh, Vice President of APAC, VANTIQ, firstname.lastname@example.org
Sykes Enterprises, Incorporated to Participate in Baird’s 2020 Virtual Global Consumer, Technology & Services Conference
TAMPA, Fla., May 27, 2020 (GLOBE NEWSWIRE) — Sykes Enterprises, Incorporated (“SYKES” or the “Company”) (NASDAQ: SYKE), a leading full life cycle provider of global customer engagement services, multichannel demand generation and digital transformation, plans to participate in Baird’s 2020 Virtual Global Consumer, Technology & Services Conference on June 2, 2020. About Sykes Enterprises, IncorporatedSykes Enterprises, Incorporated (“SYKES” or “the Company”) is a leading provider of multi-channel demand generation and global customer engagement services. The Company provides differentiated full lifecycle customer engagement solutions and services primarily to Global 2000 companies and their end customers principally in the financial services, communications, technology, transportation & leisure and healthcare industries. SYKES’ differentiated full lifecycle management services platform effectively engages customers at every touchpoint within the customer journey, including digital marketing and acquisition, sales expertise, customer service, technical support and retention, many of which can be optimized by a suite of robotic process automation (“RPA”) and artificial intelligence (“AI”) solutions. The Company serves its clients through two geographic operating regions: the Americas (United States, Canada, Latin America, South Asia and Asia Pacific) and EMEA (Europe, the Middle East and Africa). Its Americas and EMEA regions primarily provide customer-engagement solutions and services with an emphasis on inbound multichannel demand generation, customer service and technical support to its clients’ customers. These services are delivered through multiple communication channels including phone, email, social media, text messaging, chat and digital self-service. The Company also provides various enterprise support services in the United States that include services for its clients’ internal support operations, from technical staffing services to outsourced corporate help desk services. In Europe, the Company provides fulfillment services, which includes order processing, payment processing, inventory control, product delivery and product returns handling. Additionally, through the acquisition of RPA provider Symphony Ventures Ltd (“Symphony”) coupled with its investment in AI through XSell Technologies, Inc. (“XSell”), the Company also provides a suite of solutions such as consulting, implementation, hosting and managed services that optimizes its differentiated full lifecycle management services platform. SYKES’ complete service offering helps its clients acquire, retain and increase the lifetime value of their customer relationships. The Company has developed an extensive global reach with customer engagement centers across six continents, including North America, South America, Europe, Asia, Australia and Africa. It delivers cost-effective solutions that generate demand, enhance the customer service experience, promote stronger brand loyalty, and bring about high levels of performance and profitability. For additional information please visit www.sykes.com.For additional information contact:
Sykes Enterprises, Incorporated
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