"Saturday Night Live" kicked off its 42nd season, and all eyes were on Alec Baldwin as he played Republican presidential nominee Donald Trump for the first time. The show's cold open played off the first presidential debate and featured Kate McKinnon as Hillary Clinton and Michael Che as moderator Lester Holt. The sketch, which NBC had promoted earlier in the week, interspersed references from the candidates' real lives with the show's signature comedic zingers -- this time about Trump's taxes, Clinton's sometimes-impersonal demeanor and what some have called the general absurdity of this election. Near the beginning of the bit, McKinnon hobbles on stage, cane in hand and coughing. But once the cane gets stuck, she somersaults into a more invigorated state, a riff on recent concerns about the Democratic presidential nominee's health and a nod to the late Gene Wilder, whose Willy Wonka did the same move in the 1971 movie.

Hi, so I actually subimted it as an issue to the github repo, but maybe someone here can clarify some of the things if I do not understand them correctly, as I do not know if the authors would reply any time soon.

Time travel – it should work, right? We understand time, we understand travel. It seems to be just a matter of getting the parts. Until then, we have television. Along with BBC America's "Doctor Who," Starz' "Outlander" and the CW's "Legends of Tomorrow," to name just a few, the 2016-17 season will bring Fox's "Making History," ABC's "Time After Time," the CW's "Frequency" and, beginning Monday, NBC's "Timeless."

I'm really a noob but.. Has anyone tried to model this using a vanilla convolutional network? And the third network you do the same, and it's 5 second time window. At the top of the third network one would sample the top most layer and convert to the next input's audio sample. I'm also thinking about a deconvolutional network, to deconvolute the top layer and then get many samples without needing to wait 90 minutes for sound generation. I've been trying to use the libraries, but I'm really new at the field and a windows user, so had no luck so far.

The honor and struggle of the working class is a staple of auteur cinema -- in modern days, via some of the works of the Dardenne brothers and Mike Leigh and, in earlier times, with classics such as "The Bicycle Thief." But few directors do neorealism like Ken Loach. And few Loach movies arrive at a more propitious moment than the British director's latest, "I, Daniel Blake." The surprising (to some critics, really surprising) recipient of this year's Palme d'Or at the Cannes Film Festival, "Blake" made its U.S. premiere at the New York Film Festival on Saturday ahead of its American release in December. It comes as income inequality has dominated a presidential election cycle and driven various forms of populism across Europe.

Roy Lichtenstein's wry, comic book-y images may feel quintessentially New York. The Pop art pioneer, after all, grew up on Manhattan's Upper West Side, where he lived most of his life. But for more than 25 years, Lichtenstein had a love affair with Los Angeles. At least every other year starting in the late 1960s, and always strategically timed in the dead of winter, Lichtenstein migrated to L.A. to create new prints at Gemini G.E.L., the workshop that was at the epicenter of the nationwide printmaking revival happening at the time. The Skirball Cultural Center's "Pop for the People: Roy Lichtenstein in L.A.," which opens Oct. 7, explores the artist's relationship with L.A.

I'm starting to tinker with Torch and I've come across some difficulties in figuring out how to combine layers with the'rnn' and'nn' libraries. I've spent a couple of days on this and I wasn't sure where else I could post to get some answers, but I apologize in advance is this isn't the appropriate place for Torch Questions (I've also posted on Stack Overflow). I have both text and non-text data, so I'd like to combine an LSTM layer (for the text data) and a hidden layer from an MLP (for the non-text data) into a larger MLP to predict my outcome. Here's where things go wrong, the last line fails, so my hack was to combine the predictions after piping it through the first two models, which is what I do below. I'm not sure where to go from here so any help from all you would be sincerely appreciated.

Well, point 1 and point 2 are hard to simultaneously satisfy, since doing reinforcement learning at scale is pretty much a research topic on its own. Reasoning: the number of decisions it has to make during a game is small, so reinforcement learning should work pretty well. There's a couple of levels of refinement you could try to extend the project - basic model is'given game state, how do I bid?'; first extension is'given game sequence, how do I bid?'; second extension is'given a sequence of previous games with these particular players, how do I bid?'.

A long time ago, when the galaxy far, far away barely even existed in the mind of its creator, there was Westworld. That 1973 movie, the directorial debut of novelist Michael Crichton, was built on what is now a shopworn premise: In the near future, rich folks visit a high-tech theme park, assured that nothing can go wrong, but something goes very wrong. SEE ALSO: 'Westworld' could be the cure for your'Game of Thrones' nostalgia In positing a kind of real-life videogame, populated by servile actor robots who provide all the sex and violence you could ask for, Westworld was way ahead of its time. It was a hit at the box office and on the awards shelf. It sparked a sequel in 1976 and a very short-lived 1980 TV series. But it hasn't aged particularly well.

Britons are terrified of being enveloped by a dystopian future in which robots take control of society, research has found. More than a third of people fear the rise of artificial intelligence (AI) could lead to robots evolving beyond our understanding and taking over. And around 40% of us think so-called humanoids could eventually destroy humanity as we know it - concerns echoed by Professor Stephen Hawking and Elon Musk, founder of the SpaceX programme who has previously described AI as mankind's "biggest existential threat". Our paranoia about androids was revealed in studies ahead of the launch of Westworld, a new Sky Atlantic programme starting on Tuesday in which guests at a futuristic park based in the Old West live out their wildest fantasies. While the new series, produced by JJ Abrams - the man behind Star Wars: The Force Awakens, Star Trek and Cloverfield - is pure fantasy, our fears of robots becoming the supreme beings on Earth are very real.