Conservatives are girding for an extended clash on two fronts in the months ahead: one with a possible Clinton administration and one with Republicans who rejected Donald J. Trump. Megyn Kelly's divergent approach at Fox News took a different turn in her exchange with Newt Gingrich and again raised the question of the channel's future. A lot of healthy people are defying predictions by the Affordable Care Act architects and refusing to enroll, throwing off the calculations behind the system. The startling double-digital declines in TV viewership raise questions about whether the football and soccer leagues have reached their peak. Mr. Beatty's "Rules Don't Apply" is the first film he has written, directed and starred in since "Bulworth" in 1998.

HARI SREENIVASAN: More than ever before, a big part of this election campaign has played itself out on social media. No doubt the candidates and their campaigns have tried to take advantage of these platforms. But there's been a much bigger role this year as well for unseen players. You might call it the rise of the bots. Miles O'Brien has the story, part of our weekly reporting about on the Leading Edge of science and technology.

Positive-definite kernel functions are fundamental elements of kernel methods and Gaussian processes. A well-known construction of such functions comes from Bochner's characterization, which connects a positive-definite function with a probability distribution. Another construction, which appears to have attracted less attention, is Polya's criterion that characterizes a subset of these functions. In this paper, we study the latter characterization and derive a number of novel kernels little known previously. In the context of large-scale kernel machines, Rahimi and Recht (2007) proposed a random feature map (random Fourier) that approximates a kernel function, through independent sampling of the probability distribution in Bochner's characterization. The authors also suggested another feature map (random binning), which, although not explicitly stated, comes from Polya's characterization. We show that with the same number of random samples, the random binning map results in an Euclidean inner product closer to the kernel than does the random Fourier map. The superiority of the random binning map is confirmed empirically through regressions and classifications in the reproducing kernel Hilbert space.

U .S. military officers watched grainy video feeds at a small operations center in Baghdad on Tuesday as Predator drones tracked and killed three reputed Islamic State leaders -- one after another -- in the offensive on Mosul. The targeted air strikes were due in large part to intelligence extracted from cellphones, computer hard drives, memory cards and hand-written ledgers recovered from battlefields and towns taken from Islamic State fighters. Recently captured intelligence also has proved useful in providing clues to detecting potential terrorist plots, tracking foreign fighters and identifying Islamic State supporters around the globe, U.S. officials said. The largest data trove was recovered when U.S.-backed Syrian rebel forces recaptured Manbij, an Islamic State stronghold in northern Syria, in mid-August. Intelligence agencies recovered more than 120,000 documents, nearly 1,200 devices and more than 20 terabytes of digital information, officials said. Islamic State militants came early in the morning, riding atop trucks that lumbered into this northern Iraqi oil town.

The search to improve and eventually perfect artificial intelligence is driving the research labs of some of the most advanced and best-known American corporations. They are investing billions of dollars and many of their best scientific minds in pursuit of that goal. All that money and manpower has begun to pay off. In the past few years, artificial intelligence -- or A.I. -- has taken a big leap -- making important strides in areas like medicine and military technology. What was once in the realm of science fiction has become day-to-day reality. You'll find A.I. routinely in your smart phone, in your car, in your household appliances and it is on the verge of changing everything. On 60 Minutes Overtime, Charlie Rose explores the labs at Carnegie Mellon on the cutting edge of A.I. See robots learning to go where humans can'... It was, for decades, primitive technology. But it now has abilities we never expected. It can learn through experience -- much the way humans do -- and it won't be long before machines, like their human creators, begin thinking for themselves, creatively.

Artificial intelligence and robots aren't coming for your job anytime soon, the U.S. White House's chief economic adviser says. Some technology experts worry about the economic impact of A.I.-powered computers and robots, but Jason Furman, chairman of the White House Council of Economic Advisers, predicts that A.I. will grow the economy instead of taking jobs away. While some jobs may disappear, A.I. will create new jobs and consumer demand for new products and services, he said Wednesday at the Nvidia GPU Technology Conference in Washington, D.C. While technology critics believe "the robots are going to take all our jobs away from us," A.I. won't change the basic rules of economics, Furman said. A.I. will create some economic challenges, just as other technologies have, he said.

A startup bankrolled by Bill Gates is about to conduct the first public trials of high-speed body scanners powered by artificial intelligence (AI), the Guardian can reveal. According to documents filed with the US Federal Communications Commission (FCC), Boston-based Evolv Technology is planning to test its system at Union Station in Washington DC, in Los Angeles's Union Station metro and at Denver international airport. Evolv uses the same millimetre-wave radio frequencies as the controversial, and painfully slow, body scanners now found at many airport security checkpoints. However, the new device can complete its scan in a fraction of second, using computer vision and machine learning to spot guns and bombs. This means passengers can simply walk through a scanning gate without stopping or even slowing down – like the hi-tech scanners seen in the 1990 sci-fi film Total Recall.

When Bob Dylan won the 2016 Nobel Prize in Literature, it shocked the humanitarian world. What's more, Dylan himself hasn't behaved like a traditional Nobel winner: he hasn't commented on the honor and has yet to give an acceptance speech. At least one member of the Nobel panel has called Dylan's silence "rude and arrogant," and the public has been reminded that if he doesn't give a lecture within six months, he won't receive the $900,000 prize money. Selecting Dylan as a Nobel laureate may be contentious, but it's mostly a sign of growth for intellectual society -- at least in Literature, no one is off-limits, not even mumbling masters of wordplay and songwriting. Growing pains are expected as the world of mainstream politics, activism and academia is suddenly forced to consider the potential of new industries, and vice versa.

Artificial intelligence and robots aren't coming for your job anytime soon, the U.S. White House's chief economic advisor says. Some technology experts worry about the economic impact of AI-powered computers and robots, but Jason Furman, chairman of the White House Council of Economic Advisers, predicts that AI will grow the economy instead of take jobs away. While some jobs may disappear, AI will create new jobs and consumer demand for new products and services, he said Wednesday at the Nvidia GPU Technology Conference in Washington, D.C. Some studies have suggested that automation will replace half of all jobs in the coming years, but Furman questioned those predictions. While some jobs may disappear, AI will create new jobs and consumer demand for new products and services, he said Wednesday at the Nvidia GPU Technology Conference in Washington, D.C.

The report by Oxford University and Deloitte titled, The State of the State, highlights the industries most impacted by the world of automation. The research shows that over one million Brits could be out of work by 2030, with the strong possibility of being replaced by robots. Leaving the EU is an era-defining task for the UK government. What will it mean for devolved governments? There is a 77 percent probability of around 1.3 million "repetitive and predictable" administrative and operative roles being given to robots within the next 15 years.