The pace of storage change continues to accelerate, and its impact on us continues to grow. Digital storage is central to a digital civilization, and as we grow more digital, we grow more dependent on improvements in storage. Here's what to expect in 2017. AI will make stored data - and therefore storage- more valuable. When you can take - as we can today - a grainy surveillance video or a blurred face and read a license plate number of determine someone's identity using AI, the value of stored data rises, for good or ill.
Diane Bryant, Intel executive vice president and general manager of the Data Center Group, stands with Nervana co-founder Naveen Rao. Within just two months acquiring Nervana, Intel is integrating the deep learning startup's technology into its product roadmap, the company announced Thursday. The new Nervana platform will be the industry's most comprehensive portfolio for AI, the company contends, built for speed and ease of use. "We expect the Intel Nervana platform to produce breakthrough performance and dramatic reductions in the time to train complex neural networks," Diane Bryant, Intel executive vice president and general manager of the Data Center Group, said in a statement. "Before the end of the decade, Intel will deliver a 100-fold increase in performance that will turbocharge the pace of innovation in the emerging deep learning space."
The Australian Institute of Sport (AIS) has predicted, and is hopeful, the Australian team will pick up six or seven gold medals at the upcoming Rio Olympics. The information is collected from 2,000 athletes each week, including 300 data points per athlete, making up a total of 600,000 data points per week. According to Nick Brown, AIS performance science and innovation deputy director, using data and analytics means athletes are able to train and compete consistently, without losing days to recovery or illness. AIS has partnered with Microsoft and BizData to use predictive analytics and machine learning to analyse the collected data, which is uploaded each night through an Azure SQL Database to the Athlete Management System, where all of the data is stored.
ZDNet recently spoke to Bernard Marr, author of the book, Big Data: Using smart big data analytics and metrics to make better decisions and improve performance, to see what's next for the technology. People thought that if Google is sharing all this hospital information then Google will know too much about me. What fascinates me is combining big data with machine learning and especially natural language processing, where computers do the analysis by themselves to find things like new disease patterns, to find them in the data. A lot of these big companies -- companies like Google, Amazon, and so on -- the people who run those companies will become richer and richer and most of the others will not be able to participate in wealth generation.
Google on Wednesday revealed that for the past year, it's been powering data centers with a custom-built Tensor Processing Unit (TPU) chip designed for machine learning and tailored for TensorFlow. Google started working on the chip because "for machine learning, the scale at which we need to do computing is incredible," Google CEO Sundar Pichai said in the keynote address at the Google I/O conference. Because the chip is tailored for machine learning, it's more tolerant of reduced computational precision and requires fewer transistors per operation. In other words, as Pichai said in the keynote, "When you use the Google Cloud platform, you not only get access to the great software we use internally, you get access to specialized hardware we build internally."
Also: Google plays social catch-up (again) with Allo, Duo, revamped digital assistant Google unveils Google Home, takes aim at Amazon Echo Google I/O keynote: By the numbers CNET: Android Wear 2.0 coming this fall with smarter messaging, smarter fitness and better battery life Android is focusing on performance, low latency and a system UI that can be used for virtual reality. Android's just in time runtime enables apps to be installed 75 percent faster than the previous version and cuts their size by 50 percent. Android has also added Google Play Security Testing, an App Security Improvement Program as well as a safe browsing. Google also added two new window modes, picture in picture and split screen.
Enter Trainerbot, the smart ping pong robot with a wicked serve. Harrison started working on a ping pong robot made from a household garbage can. Puma has developed a racing robot to push runners, with the idea that competing against an opponent helps improve athletes' performance. For a totally customizable game, users can control the motors via a mobile app.
"I think we are going to realize looking back that one of the biggest things that ever happened is AI," CEO Jen-Hsun Huang said in his opening keynote at this year's GPU Technology Conference. NVLink can also be used to connect the GPUs with IBM Power CPUs in servers (Nvidia is part of the OpenPower consortium). For deep learning, the key announcements were a new version of its training library, cuDNN 5, due in April and GIE, short for GPU Inferencing Engine, to make execution more energy efficient. "This makes CUDA both the highest performance and most energy efficient approach to doing GPU computing," Huang said.