If you think we're hyperconnected today, just wait until autonomous cars are everywhere. The average person will soon use 1.5 gigabytes of data daily, while autonomous vehicles will use about 4,000, Intel CEO Brian Krznach said in a presentation at the Intel Developer Forum in San Francisco Tuesday. "The average person today generates about 6-to-700 megabits a day. By 2020, the estimate is 1.5 gigabytes a day for the average person," Krznach said. A representative for Intel told Mashable that the numbers come from an article on Datafloq.

The MegaFace dataset contains 1 million images representing more than 690,000 unique people. It is the first benchmark that tests facial recognition algorithms at a million scale.University of Washington In the last few years, several groups have announced that their facial recognition systems have achieved near-perfect accuracy rates, performing better than humans at picking the same face out of the crowd. But those tests were performed on a dataset with only 13,000 images -- fewer people than attend an average professional U.S. soccer game. What happens to their performance as those crowds grow to the size of a major U.S. city? University of Washington researchers answered that question with the MegaFace Challenge, the world's first competition aimed at evaluating and improving the performance of face recognition algorithms at the million person scale.

CHENNAI: Ever logged onto an e-commerce website and felt confused on what to buy or where to go? To ease the process and deliver a better shopping experience, companies are investing heavily in artificial intelligence (AI) and machine learning. The startup uses AI to understand the semantics of websites along with the relations a product has with its pricing, discounts, etc and leverages those relations to find out the best deal (or coupon) available across any e-commerce site. So, how is Grabshack different from other price comparison website? Rajat explains, "We search live/real time across hundreds of ecommerce sites (like Google), while other deals and coupons sites in India manually enter deals and coupons on their site (curated list) from which they search."

Over the course of a week in March, Lee Sedol, the world's best player of Go, played a series of five games against a computer program. The series, which the program AlphaGo won 4-1, took place in Seoul, while tens of millions watched live on internet feeds. Go, usually considered the most intellectually demanding of board games, originated in China but developed into its current form in Japan, enjoying a long golden age from the 17th to the 19th century. Famous contests from the period include the Blood Vomiting game, in which three moves of great subtlety were allegedly revealed to Honinbo Jowa by ghosts, enabling him to defeat his young protégé Intetsu Akaboshi, who after four days of continuous play collapsed and coughed up blood, dying of TB shortly afterwards. Another, the Ear Reddening game, turned on a move of such strength that it caused a discernible flow of blood to the ears of the master Inoue Genan Inseki. That move was, until 13 March this year, probably the most talked about move in the history of Go. That accolade probably now belongs to move 78 in the fourth game between Sedol and AlphaGo, a moment of apparently inexplicable intuition which gave Sedol his only victory in the series. The move, quickly named the Touch of God, has captured the attention not just of fans of Go but of anyone with an interest in what differentiates human from artificial intelligence. DeepMind, the London-based company behind AlphaGo, was acquired by Google in January 2014.

We asked the representatives of Strategic Technologies Department "Microsoft Russia" to tell us how a new device Pix works and what services were used creating it. Professional photographers are familiar with the feeling when you take million shots expecting a perfect one, when it is essential to capture the moment because in a split second the shot will change forever. We all remember the feeling when we want to feel ourselves a pro and get a unique perfect shot using a smartphone, which is always with us, but unfortunately lacks some functions of a professional camera. Microsoft scientific-research team offered a solution of this problem and developed Microsoft Pix, an app for iPhone aimed at adjusting the settings for taking the best shots (ISO, exposition, focus) using the technologies of artificial intelligence. In this article we are going to consider it from a user's and developer's perspectives.

Ford outlined a few of the ways it's aiming to ship driverless cars by 2021, and part of the plan involves acquisitions. CEO Mark Fields revealed at a press event in Palo Alto today that the automaker acquired SAIPS, an Israeli company focusing on machine learning and computer vision. It's also partnering exclusively with Nirenberg Neuroscience, to bring more "humanlike intelligence" to machine learning components of driverless car systems. SAIPS' technology brings image and video processing algorithms, as well as deep learning tech focused on processing and classifying input signals, all key ingredients in the special sauce that makes up autonomous vehicle tech. This company's expertise should help with on-board interpretation of data captured by sensors on Ford's self-driving cars, and turning that data into usable info for the car's virtual driver system.

The latest news about Google's head of search, Amit Singhal, to leave the company he spent 15 years with, had the shocking effect on the SEO community. And what is more surprising - his successor, John Giannandrea, is the one who has worked on artificial intelligence at Google (including RankBrain - the part of search algorithm which uses AI to work with a queries search engine was not able to understand before). With this change of executives, we may be on the verge of a new era - the era of transition from the algorithm-based search to AI-based search. To power its artificial intelligence, Google uses deep learning (also known as neural networks) - one of machine learning methods, which uses a mathematical model to mimic the way as human brain neurons work. Deep learning is built on the concept of digital neurons, organized into layers.

TEL AVIV, ISRAEL and NEW YORK, NY--(Marketwired - August 16, 2016) - Logz.io, the log analysis company that offers the open-source ELK Stack as a cloud service, today released Cognitive Insights . This new analytics solution is powered by artificial intelligence that identifies critical events in IT environments before they cause further damage to the bottom line. With the growing amount of machine-generated Big Data within organizations, it is unrealistic to expect human beings to look at every piece of information. This causes most companies to face the challenge of detecting critical events in their increasingly complex IT environments early enough in order to take corrective actions. Cognitive Insights proactively alerts IT managers to problems before they outwardly affect the the business.

Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. Studies by Colfax Research and Kyoto University have found that existing open source packages such as Torch and Theano deliver significantly faster performance through the use of Intel Scalable System Framework (Intel SSF) technologies like the Intel compiler and performance libraries for Intel Math Kernel Library (Intel MKL), Intel MPI (Message Passing Interface), and Intel Threading Building Blocks (Intel TBB), and Intel Distribution for Python (Intel Python). Andrey Vladimirov (Head of HPC Research, Colfax Research) noted that "new Intel SSF hardware and software in combination with code modernization delivered an observed 50x machine learning performance improvement in our case study". In the Colfax Research and Kyoto case studies as well as general Python scientific computing benchmarks, results run up to two orders of magnitude (100x) faster as a result of using Intel SSF technologies. Python is a powerful and popular scripting language that provides fast and fundamental tools for machine learning and scientific computing through popular packages such as scikit-learn, NumPy and SciPy.

Scientists in Japan reportedly saved a woman's life by applying artificial intelligence to help them diagnose a rare form of cancer. Faced with a 60-year-old woman whose cancer diagnosis was unresponsive to treatment, they supplied an AI system with huge amounts of clinical cancer case data, and it diagnosed the rare leukemia that had stumped the clinicians in just ten minutes. The Watson AI system from IBM matched the patient's symptoms against 20m clinical oncology studies uploaded by a team headed by Arinobu Tojo at the University of Tokyo's Institute of Medical Science that included symptoms, treatment and response. The Memorial Sloan Kettering Cancer Center in New York has carried out similar work, where teams of clinicians and data analysts trained Watson's machine learning capabilities with oncological data in order to focus its predictive and analytic capabilities on diagnosing cancers. IBM Watson first became famous when it won the US television game show Jeopardy in 2011.