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Can Google's DeepMind Help Fix A Broken Health Care System?
Google wants to put its artificial intelligence technology to use in top hospitals. Earlier this week, the search giant announced it would work with the U.K.'s National Health Service, or NHS, to alert staff to patients at risk of serious complications due to kidney failure. Details about the technology are fairly thin on the ground at this stage. But it is known that Google DeepMind recently acquired an app called Hark, which is a task management app that aims to replace paper-based systems and pagers. Hark was developed over four years by a team at Imperial College London, which is one of the U.K.'s top medical schools.
Self-Driving Car Successfully Drives Itself 1200 Miles Across China In Six Days
A Chinese automaker announced the successful road trip of its self-driving cars. Two of the vehicles have completed the travel across China, which lasted for six days and covered more than 1,200 miles. Chinese automaker and Ford's partner Chongqing Changan Automobile Co. announced the successful road trip of its self-driving car. The vehicle traveled from Chongqing in Southwest China to Beijing, which is in the northeast. The journey covered more than 1,200 miles (almost 2,000 kilometers) and lasted for six days - that's an average of 200 miles (321.8 kilometers) a day.
Dyson launches Supersonic hair dryer, letting people use its bladeless fans to style their hair
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
China Is Building An Army Of Worker Robots
Three weeks ago we reported an amusing anecdote out of China in which robot waiters in a Guangzhou restaurant had been "fired" because whencustomers flocked to the Heweilai Restaurant chain in the southern Chinese city, they found they were not all they are cracked up to be. "A staff member said the robots couldn't effectively handle soup dishes, often malfunctioned, and had to follow a fixed route that sometimes resulted in clashes. A customer also said the robots were unable to do tasks such as topping up water or placing a dish on the table." "The robots weren't able to carry soup or other food steady and they would frequently break down. The boss has decided never to use them again," said one employee. We joked in the summary saying that "for now, it appears, China's minimum wage workers, and it has a few hundred million of those, will not be phased out just yet." According to a report released by the MIT Technology Review, where some saw failure in China's "novelty" worker robots, the Chinese government saw nothing less than the opportunity to perfect what will soon put million of Chinese workers out of a job: an army of worker robots. Because while there is certanly humor to be found in the anecdote about a robot "termination", the Chinese government is keen to change this.
Forget Disneyland, Japan set to get 'robot kingdom' staffed entirely by machines
A Japanese amusement park is turning the fears of a robot-run world into a family friendly attraction. Guests at Huis Ten Bosch will soon be able to enjoy okyonomiyaki prepared by a robotic chef, cocktails made by an autonomous bartender and a complete staff of serving cyborgs. This'robotic kingdom' will feature over 200 androids that attendees can touch and interact with while spending the day at the park. Guests at Huis Ten Bosch will soon be able to enjoy okyonomiyaki prepared by a robotic chef, cocktails made by an autonomous bartender and a complete staff of serving cyborgs. This'robotic kingdom' will feature over 200 androids.
Look At This Disturbingly Happy Hospital Robot
Hospi-R is the aggressively friendly robot that may deliver your medication during your next hospital stay. Panasonic has created an aggressively pleasant Dalek-nurse to whir silently between hospital beds, smile, and drop off medications and meals to patients. Japan and other countries have already given the wifi-camera-sensor driven bot proper certification to chip in with menial hospital duties. While good bedside manor is definitely appreciated by anyone stuck in a hospital for more than a few hours, something about the over-the-top grin on Hospi-R, the pink robo-servant, just seems a little off. Thankfully Hospi-R seems to lack arms, teeth, or articulated needle jabbers that might make the prospect of it wheeling into your room late at night extra scary.
ACM's 2016 General Election
The ACM constitution provides that our Association hold a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--five Members-at-Large will be elected to serve on ACM Council. Please refer to the instructions posted at https://www.esc-vote.com/acm2016. To access the secure voting site, you will need to enter your email address (the email address associated with your ACM member record) and your unique PIN provided by Election Services Co. Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 24 May 2016. Validation by the Tellers Committee will take place at 14:00 UTC on 26 May 2016. Vicki Hanson is a Distinguished Professor of Computing at Rochester Institute of Technology, U.S. (since 2013), Professor and Chair of Inclusive Technologies, Computing, University of Dundee, U.K. (since 2009), and an IBM Research Staff Member Emeritus (since 2009). Previously, she was Research Staff Member and Manager, IBM T.J. Watson Research Center (1986โ2008), Research Associate, Haskins Laboratories, New Haven, CT (1980โ86), and Postdoctoral Fellow at the Salk Institute for Biological Studies (1978โ80). Vicki is the ACM Vice President. She also currently serves as a member of the ACM Executive Committee and Council, on the ACM-W Europe Executive Committee, and on the ACM Fellows Awards Committee (Chair, 2015). She is Vice President at Large of ACM SIGCHI and an ACM Distinguished Speaker. She has served on the SIG Governing Board Executive Committee (2005โ14; SGB Chair 2010โ12), and as Chair of SIGACCESS, where she revitalized the SIG and established a successful annual conference (ASSETS). She co-founded the field's premier archival journal (ACM Transactions on Accessible Computing) and served as Associate Editor of ACM TWEB. She was on the organizing committee for several SIGPLAN OOPSLA conferences, chaired the recent ACM CEO Search Committee, and currently serves on the Royal Society of Edinburgh Fellows committee (since 2013; Convener 2015). She is an ACM Fellow, a Chartered Fellow of the British Computer Society, a Fellow of the Royal Society of Edinburgh, and a Senior Member of IEEE.
The Moral Imperative of Artificial Intelligence
The big news on March 12 of this year was of the Go-playing AI-system AlphaGo securing victory against 18-time world champion Lee Se-dol by winning the third straight game of a five-game match in Seoul, Korea. After Deep Blue's victory against chess world champion Gary Kasparov in 1997, the game of Go was the next grand challenge for game-playing artificial intelligence. Go has defied the brute-force methods in game-tree search that worked so successfully in chess. In 2012, Communications published a Research Highlight article by Sylvain Gelly et al. on computer Go, which reported that "Programs based on Monte-Carlo tree search now play at human-master levels and are beginning to challenge top professional players." AlphaGo combines tree-search techniques with search-space reduction techniques that use deep learning. Its victory is a stunning achievement and another milestone in the inexorable march of AI research.
Parallel Graph Analytics
Most existing abstractions and implementations for parallel computing were developed for computational science applications in which the main parallelism pattern is data parallelism; an example of a data-parallel operation is "map," which applies a function to each element of a set, producing a new set. Systems like Hadoop enable programmers to express and exploit data parallelism without having to write low-level parallel code. Some graph analytics algorithms have data parallelism, but others exhibit a more complex parallelism pattern called "amorphous" data-parallelism,29 described later in this article. Unlike in data-parallel programs, tasks in amorphous data-parallel programs may or may not be able to run in parallel, depending on the graph structure and values known only at runtime. To exploit this parallelism pattern, systems need to find opportunities for parallel execution while executing the program in parallel.