"Today's expert systems deal with domains of narrow specialization. For expert systems to perform competently over a broad range of tasks, they will have to be given very much more knowledge. ... The next generation of expert systems ... will require large knowledge bases. How will we get them?"
– Edward Feigenbaum, Pamela McCorduck, H. Penny Nii, from The Rise of the Expert Company. New York: Times Books, 1988.
British Prime Minister Theresa May said Russia's involvement is "highly likely," and she gave the country a deadline of midnight Tuesday to explain its actions in the case. She is reviewing a range of economic and diplomatic measures in retaliation for the assault with what she identified as the military-grade nerve agent Novichok.
The Trump administration issued a ruling that expands the entities which can exempt themselves from the contraception mandate in the Affordable Care Act. A federal judge in Boston Monday threw out a lawsuit by Massachusetts' attorney general that attempted to block the Trump administration's rules expanding exemptions from ObamaCare's birth control mandate. U.S. District Judge Nathaniel Gorton said Massachusetts lacked standing to sue and noted that "the record is uniquely obscure" regarding whether employers in the state would take advantage of the exemptions. In a statement, Massachusetts Attorney General Maura Healey said that she was disappointed in the decision but remained committed to ensuring "affordable and reliable reproductive health care for women." ObamaCare originally required most companies to cover birth control at no additional cost, though it included exemptions for religious organizations.
Neural networks can answer a question about a photo and point to the evidence for their answer by annotating the image. How it works: To test the Pointing and Justification Explanation (PJ-X) model, researchers gathered data sets made up of pairs of photographs showing similar scenes, like different types of lunches. Then they came up with a question that has distinct answers for each photo ("Is this a healthy meal?"). What it does: After being trained on enough data, PJ-X could both answer the question using text ("No, it's a hot dog with lots of toppings"') and put a heat map over the photo to highlight the reasons behind the answer (the hot dog and its many toppings). Why it matters: Typical AIs are black boxes--good at identifying things, but with algorithmic logic that is opaque to humans.