"Many researchers … speculate that the information-processing abilities of biological neural systems must follow from highly parallel processes operating on representations that are distributed over many neurons. [Artificial neural networks] capture this kind of highly parallel computation based on distributed representations"
– from Machine Learning (Section 4.1.1; page 82) by Tom M. Mitchell, McGraw Hill Companies, Inc. (1997).
"The Computer Society's predictions, based on a deep-dive analysis by a team of leading technology experts, identify top-trending technologies that hold extensive disruptive potential for 2018," said Jean-Luc Gaudiot, IEEE Computer Society President. "The vast computing community depends on the Computer Society as the provider for relevant technology news and information, and our predictions directly align with our commitment to keeping our community well-informed and prepared for the changing technological landscape of the future." Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president, said, "The following year we will witness some of the most intriguing dilemmas in the future of technology. Will deep learning and AI indeed expand deployment domains or remain within the realms of neural networks? Will cryptocurrency technologies keep their extraordinary evolution or experience a bubble burst?
"When big changes happen it is often because regulation, user preference and technology converge – mobile telephony is one example, the car another. We have picked the trends that we think are both illuminating and important to stay on top of ahead of the New Year," says Bjørn Taale Sandberg, Head of Telenor Research. Consumer-trends such as face recognition, on-demand services and 360-photos aside, what seismic shifts in the broader technology landscape might shake things up in 2018? Looking ahead, scientists and technology analysts at Telenor Group's research arm, Telenor Research, see seven tech trends coming our way: Facebook users are posting less and the amount of relevant information on the Facebook newsfeed is dropping, giving way to an increasing amount of professional and paid content – of varying relevance. Users are also likely becoming more critical as awareness rises around "fake news" seeping into their feeds.
Today we announced new Intelligent Search features for Bing, powered by AI, to give you answers faster, give you more comprehensive and complete information, and enable you to interact more naturally with your search engine. Intelligent answers: One of the Intelligent Search features announced today are Intelligent Answers. These answers leverage the latest state of the art in machine reading comprehension, backed by Project Brainwave running on Intel's FPGAs, to read and analyze billions of documents to understand the web and help you more quickly and confidently get the answers you need. Bing now uses deep neural networks to validate answers by aggregating across multiple reputable sources, rather than just one, so you can feel more confident about the answer you're getting. Many times, you have to click into multiple sources to get a comprehensive answer for your question.
To further enhance its research capabilities Eco Marine Power announced today that it will begin using the Neural Network Console provided by Sony Network Communications Inc., as part of a strategy to incorporate Artificial Intelligence (AI) into various ongoing ship related technology projects including the further development of the patented Aquarius MRE (Marine Renewable Energy) and EnergySail. The Neural Network Console is an integrated development environment using deep learning for AI creation and has been used in deep learning applied technology development within Sony since 2015. Various functions are included such as recognition technology and a full-fledged GUI (graphical user interface) and these allow for deep learning programs to be developed. Deep learning refers to a form of machine learning that uses neural networks modelled after the human brain and is notable for its high versatility with applications in a wide variety of fields including signal processing, and robotics. An initial area of focus will be on studying how the Neural Network Console and AI can assist with the development of the automated control system for EMP's EnergySail.
The Gluon interface currently works with Apache MXNet and will support Microsoft Cognitive Toolkit (CNTK) in an upcoming release. With the Gluon interface, developers can build machine learning models using a simple Python API and a range of pre-built, optimized neural network components. This makes it easier for developers of all skill levels to build neural networks using simple, concise code, without sacrificing performance. AWS and Microsoft published Gluon's reference specification so other deep learning engines can be integrated with the interface.
Deep learning tech is making itself at home in hospitals by helping radiologists examine medical scans for just a buck per image. Now, GE Healthcare is bringing that AI tech directly to the scanners, thanks to partnerships with NVIDIA and Intel. It announced that it will update 500,000 of its medical devices around the world with NVIDIA AI tech, most notably its Revolution Frontier CT scanner (below). The tech "is expected to deliver better clinical outcomes in liver lesion detection and kidney lesion characterization because of its speed," GE wrote in a press release. The tech will also be used in GE's advanced ultrasound imaging devices to provide visualization and quantification of data.
Wall Street is big business, and it is about to become even bigger with the rise of big data. It is every investor's dream to have prior knowledge of the direction of the market before it happens, which is why financial investment firms are driven to mine for data rather than for gold in the information economy. Traditionally, investors have based their decisions on fundamentals, intuition, and analysis drawn from traditional data sources, such as quarterly earnings reports, financial statement filings to the U.S. Securities and Exchange Commission (SEC), historical market data, institutional research reports and sometimes the so-called "expert networks." The new data-driven paradigm, fueled by new alternative data sources, high performance computing and predictive analytics, offers a more robust framework to generate data-driven investment theses. Data – from satellite images of areas of interest, automated drones, people-counting sensors, container ships' positions, credit card transactional data, jobs and layoffs reports, cell phones, social media, news articles, tweets, online search queries – is now the most valuable commodity for Wall Street.
HPE Rapid Software Installation for AI: HPE introduced an integrated hardware and software solution, purpose-built for high performance computing and deep learning applications. Based on the HPE Apollo 6500 system in collaboration with Bright Computing to enable rapid deep learning application development, this solution includes pre-configured deep learning software frameworks, libraries, automated software updates and cluster management optimized for deep learning and supports NVIDIA Tesla V100 GPUs. HPE Deep Learning Cookbook: Built by the AI Research team at Hewlett Packard Labs, the deep learning cookbook is a set of tools to guide customers in selecting the best hardware and software environment for different deep learning tasks. These tools help enterprises estimate performance of various hardware platforms, characterize the most popular deep learning frameworks, and select the ideal hardware and software stacks to fit their individual needs. The Deep Learning Cookbook can also be used to validate the performance and tune the configuration of already purchased hardware and software stacks.
Distributed, in-memory database enables correlation of customer profile, buying behaviour, sentiment and shopping trends based on cross-industry data sources in sub-seconds JAKARTA, Oct 24, 2017 - (ACN Newswire) - OVO, a member of Lippo Group Digital, has chosen Kinetica, provider of the world's fastest GPU-accelerated analytics database, and NVIDIA to spur innovation in big data and analytics that fully utilize a 360-degree customer view and derive real-time analytics and insights on shopping trends and the digital lifestyle. Lippo Group is a prominent conglomerate with significant investments in digital technologies, education, financial services, healthcare, hospitality, media, IT, telecommunications, real estate, entertainment and retail. Aggressively investing in big data and analytics technology, OVO is Lippo Group Digital's concierge platform, integrating mobile payment, loyalty points, and exclusive priority deals. With the support from Kinetica and NVIDIA, Lippo Group Digital will be the first enterprise to integrate an AI, in-memory, GPU database in Indonesia. Lippo Group Digital's investment in big data and analytics technology aims to consolidate all their customer data that are being generated by all transactional systems from various subsidiaries into a centralized analytics platform.