While artificial intelligence may one day evolve into the godhead, right now it's being put to a more prosaic use: funny backgrounds in YouTube videos.

I am a beginner starting with ML, and I want to make a neural network that is able to recognize different artists, a bit like voice recognition. I know you need a LOT of data for neural network, so this is what I really worry and hope it doesn't overfit. I see a lot of speech recognition when googling, but so far I can't found anything voice recognition related.

It asks to use an LSTM and predict the parity of bit sequences of length 50. Naive attempts didn't work (large hidden state, different rnn cells, different optimization algos, etc). It was a fun challenge. I like that it's very easy to state but requires a bit of insight to figure out. Do you know of any others like that?

We tested every streaming box you can buy, and our two favorite are both great devices--but which one is right for you? Amazon Prime Video offers streaming of movies such as "The Big Sick." While Prime Video may not be as widely known as that "other" major video streaming service, Amazon's on-demand platform is a force to be reckoned with. Between its growing catalog of movies and TV shows (including several award-winning exclusives) and all the other goodies you get for being a Prime member (free two-day shipping, Prime Music access, free Kindle e-books, and unlimited online photo storage), it's quite easy to justify the $99/year subscription cost. You're also aware you can access Prime Video on a handful of devices, including the web, mobile apps, Smart TVs, gaming consoles, and set-top boxes?

Research by the Artificial Intelligence Group is multi-disciplinary, spanning genomics and bio-informatics, machine learning, stochastic algorithms, game theory, automated theorem proving, computer vision, and human-like computation.

With the Apple HomePod, the cotton that has been in our ears since the arrival of the first smart speaker has been removed. The HomePod sounds far better than the popular smart speakers from Amazon, Google--and even Sonos. That's what I've been asking myself during my week testing the HomePod, which goes on sale Friday for $350. In the last three years, Amazon Echo and Google Home have set tens of millions of us at ease with speakers that listen for our commands. Of course, Apple has a long history of crushing incumbents--see MP3 players and smartphones.

Instead, she went on, "we call it GPS." And it's a significant truth because it means the world of AI stays mired in the average person's mind as something of a science fiction-type character -- a Terminator programmed to kill, a Matrix hero designed to liberate, a Star Wars robot set to serve. But AI is not one and the same as a robot. Simply put, AI is everywhere. And people ought to know.

"If ever there was a time for the people creating technologies to keep in mind the impact of their creations, it's now," my colleague Nick Bilton wrote last year, in the wake of the 2016 election, warning that an influx of new technologies was about to make the Internet's misinformation plague 10 times worse. Bilton's fears have been echoed more recently; in an interview with BuzzFeed News earlier this month, Aviv Ovadya, who predicted the fake-news crisis, said that it's likely to accelerate with the advent of more advanced digital tools able to falsify reality and manipulate perception. "We are so screwed it's beyond what most of us can imagine," he said. "And depending how far you look into the future it just gets worse." As modern tech companies struggle to get a handle on extant problems, a new paper authored by 26 technologists, researchers, scientists, and academics, supports the premise that when it comes to new technologies, humankind may be biting off more than it can chew.

Last quarter, the market size of smart home speakers grew by 30 percent. According to a report published by CIRP, the number of installed Amazon Echo speaker devices is 20 million units and Google Home devices is 7 million units. Last quarter, 7 million smart speakers were sold in the USA.

"Fail fast" is a well-known phrase in the startup scene. The spirit of failing fast is getting to market with a minimum viable product and then rapidly iterating toward success. Failing fast acknowledges that entrepreneurs are unlikely to design a successful end-state solution before testing it with real customers and real consequences. This is the "ready, fire, aim" approach. Or, if the blowback is big enough, it's the "ready, fire, pivot" approach.