Erik Learned-Miller is one reason we talk about facial recognition at all. In 2007, years before the current A.I. boom made "deep learning" and "neural networks" common phrases in Silicon Valley, Learned-Miller and three colleagues at the University of Massachusetts Amherst released a dataset of faces titled Labelled Faces in the Wild. To you or me, Labelled Faces in the Wild just looks like folders of unremarkable images. You can download them and look for yourself. There's boxer Joe Gatti, gloves raised mid-fight.
Russian President Vladimir Putin warned Friday (Sept. AI development "raises colossal opportunities and threats that are difficult to predict now," Putin said in a lecture to students, warning that "it would be strongly undesirable if someone wins a monopolist position." Future wars will be fought by autonomous drones, Putin suggested, and "when one party's drones are destroyed by drones of another, it will have no other choice but to surrender." U.N. urged to address lethal autonomous weapons AI experts worldwide are also concerned. On August 20, 116 founders of robotics and artificial intelligence companies from 26 countries, including Elon Musk and Google DeepMind's Mustafa Suleyman, signed an open letter asking the United Nations to "urgently address the challenge of lethal autonomous weapons (often called'killer robots') and ban their use internationally."
The first FDA-approved AI system for diagnosing eye diseases caused by diabetes is completely autonomous, and doesn't require a doctor to interpret the results. Several corporations including Google and DeepMind have been working on building algorithms for diabetic retinography, a leading cause of blindness amongst adults. The first biz to release a device approved by the US Food and Drug Administration (FDA) earlier this year in April, however, is less well-known. IDx LLC, an AI diagnostics company based in Iowa, developed the tool known as IDx-DR. The details about the system were published in a paper in Nature Digital Medicine on Tuesday.
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.
WASHINGTON – President Donald Trump invited Iranian Foreign Minister Mohammad Javad Zarif to the White House last month at the height of tensions between the two countries, The New Yorker magazine reported. The invitation, extended by Sen. Rand Paul with permission from the president, was turned down for now, The New Yorker reported Friday. Zarif said it was up to Tehran to decide on accepting it. Neither the White House nor the State Department responded to requests for comment on the report, which quoted U.S. and Iranian sources and what the magazine called a well-placed diplomat. Zarif told the magazine he would not want a White House meeting that yielded just a photo op and a two page statement afterwards, The New Yorker said.