Martin Ford is a futurist and the author of two books: The New York Times Bestselling Rise of the Robots: Technology and the Threat of a Jobless Future (winner of the 2015 Financial Times/McKinsey Business Book of the Year Award and translated into more than 20 languages) and The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future, as well as the founder of a Silicon Valley-based software development firm. His TED Talk on the impact of AI and robotics on the economy and society, given on the main stage at the 2017 TED Conference, has been viewed more than 2 million times. Martin is also the consulting artificial intelligence expert for the new "Rise of the Robots Index" from Societe Generale, underlying the Lyxor Robotics & AI ETF, which is focused specifically on investing in companies that will be significant participants in the AI and robotics revolution. He holds a computer engineering degree from the University of Michigan, Ann Arbor and a graduate business degree from the University of California, Los Angeles. He has written about future technology and its implications for publications including The New York Times, Fortune, Forbes, The Atlantic, The Washington Post, Harvard Business Review, The Guardian, and The Financial Times.
Yan Shi, Dezhi Feng, and Subir Biswas Electrical and Computer Engineering, Michigan State University, East Lansing, MI Abstract: This paper presents a deep-learning based traffic might not scale well and need updates to work under the new classification method for identifying multiple streaming video traffic conditions. Growth in video streaming traffic is arguably sources at the same time within an encrypted tunnel. The work the most significant recent change in network traffic, yet there defines a novel feature inspired by Natural Language are only a limited number of researches targeting video Processing (NLP) that allows existing NLP techniques to help streaming protocols -. The feature extraction method is (where multiple types of network traffic occur at the same time) described, and a large dataset containing video streaming and is left out of the existing research as well but happens quite often web traffic is created to verify its effectiveness. Results are in real-world situations. The targeted traffic type needs to be obtained by applying several NLP methods to show that the extended to cover these changes. We also show the ability to learning using deep learning methods. The trend has prompted achieve zero-shot learning with the proposed method.
"Smokey and the Bandit" actor Burt Reynolds died at the age of 82. We reflect on some of his most iconic moments. Burton Leon Reynolds was born on Feb. 11, 1936, in Lansing, Mich. The actor died Sept. 6, 2018 in Jupiter, Fla. at the age of 82. Here he posed for a portrait to promote his movie "The Last Movie Star." in Beverly Hills, Calif, on March 21, 2018.
IBM has laid off approximately 50 and 70 per cent of staff this week in its Watson Health division, according to inside sources. The axe, we're told, is largely falling on IBMers within companies the IT goliath has taken over in the past few years to augment Watson's credentials in the health industry. These include medical data biz Truven, which was acquired in 2016 for $2.6bn, medical imaging firm Merge, bought in 2015 for $1bn, and healthcare management business Phytel, also snapped up in 2015. Yesterday and today, staff were let go at IBM's offices in Dallas, Texas, as well as in Ann Arbor, Michigan, Cleveland, Ohio, and Denver, Colorado, in the US, and elsewhere, it is claimed. A spokesperson for Big Blue was not available for comment.