IBM is teaming up with eight North American universities to further tune its cognitive system to tackle cybersecurity problems. Watson for Cyber Security, a platform already in pre-beta, will be further trained in "learning the nuances of security research findings and discovering patterns and evidence of hidden cyber attacks and threats that could otherwise be missed". IBM will work with eight US universities from autumn onwards for a year in order to push forward the project. The universities selected are California State Polytechnic University, Pomona; Pennsylvania State University; Massachusetts Institute of Technology; New York University; the University of Maryland, Baltimore County (UMBC); the University of New Brunswick; the University of Ottawa; and the University of Waterloo. The project is ultimately designed to bridge the cyber-security skills gap, a perennial issue in the industry.
The National Airspace System (NAS) is a large and complex system with thousands of interrelated components: administration, control centers, airports, airlines, aircraft, passengers, etc. The complexity of the NAS creates many difficulties in management and control. One of the most pressing problems is flight delay. Delay creates high cost to airlines, complaints from passengers, and difficulties for airport operations. As demand on the system increases, the delay problem becomes more and more prominent. For this reason, it is essential for the Federal Aviation Administration to understand the causes of delay and to find ways to reduce delay. Major contributing factors to delay are congestion at the origin airport, weather, increasing demand, and air traffic management (ATM) decisions such as the Ground Delay Programs (GDP). Delay is an inherently stochastic phenomenon. Even if all known causal factors could be accounted for, macro-level national airspace system (NAS) delays could not be predicted with certainty from micro-level aircraft information. This paper presents a stochastic model that uses Bayesian Networks (BNs) to model the relationships among different components of aircraft delay and the causal factors that affect delays. A case study on delays of departure flights from Chicago O'Hare international airport (ORD) to Hartsfield-Jackson Atlanta International Airport (ATL) reveals how local and system level environmental and human-caused factors combine to affect components of delay, and how these components contribute to the final arrival delay at the destination airport.
The Federal Aviation Administration (FAA) is moving forward with its plans to accelerate drone testing in the US -- with help from technology companies including Alphabet, FedEx and Intel. The agency announced 10 states that will participate in the the Unmanned Aircraft Systems (UAS) Integration Pilot Program, an effort that aims to study the potential uses of drones in agriculture, commerce, emergency management, and human transportation. The 10 pilot winners include the Choctaw Nation of Oklahoma, in Durant, Oklahoma; the City of San Diego, California; the Innovation and Entrepreneurship Investment Authority, in Herndon, Virginia; the Kansas Department of Transportation; the Lee County Mosquito Control District in Fort Meyers, Florida; the Memphis-Shelby County Airport Authority; the North Carolina Department of Transportation; the North Dakota Department of Transportation; the City of Reno, Nevada; and the University of Alaska-Fairbanks. First announced last October, the UAS program aims to partner the FAA with local, state and tribal governments, along with private sector technology companies, to explore the integration of drone operations across industries. The program will also address public safety and security risks that go along with bringing drones into the national airspace.
Lawmakers, child development experts, and privacy advocates are expressing concerns about two new Amazon products targeting children, questioning whether they prod kids to be too dependent on technology and potentially jeopardize their privacy. In a letter to Amazon CEO Jeff Bezos on Friday, two members of the bipartisan Congressional Privacy Caucus raised concerns about Amazon's smart speaker Echo Dot Kids and a companion service called FreeTime Unlimited that lets kids access a children's version of Alexa, Amazon's voice-controlled digital assistant. "While these types of artificial intelligence and voice recognition technology offer potentially new educational and entertainment opportunities, Americans' privacy, particularly children's privacy, must be paramount," wrote Senator Ed Markey (D-Massachusetts) and Representative Joe Barton (R-Texas), both cofounders of the privacy caucus. The letter includes a dozen questions, including requests for details about how audio of children's interactions is recorded and saved, parental control over deleting recordings, a list of third parties with access to the data, whether data will be used for marketing purposes, and Amazon's intentions on maintaining a profile on kids who use these products. Echo Dot Kids is the latest in a wave of products from dominant tech players targeting children, including Facebook's communications app Messenger Kids and Google's YouTube Kids, both of which have been criticized by child health experts concerned about privacy and developmental issues.
At a demonstration of Amazon Web Services' new artificial intelligence image recognition tool last week, the deep learning analysis calculated with near certainty that a photo of speaker Glenn Gore depicted a potted plant. "It is very clever, it can do some amazing things but it needs a lot of hand holding still. AI is almost like a toddler. They can do some pretty cool things, sometimes they can cause a fair bit of trouble," said AWS' chief architect in his day two keynote at the company's summit in Sydney. Where the toddler analogy falls short, however, is that a parent can make a reasonable guess as to, say, what led to their child drawing all over the walls, and ask them why.