Spotify has finally launched in India, following a long wait and a whole variety of legal arguments. The company will now let people sign up and get access to a version of Spotify that is "tuned to Indian music fans' personal tastes", including special features that have been created for the country. Spotify has been rumoured to be on its way into India for months. But it has been hit by a number of fallouts with record labels and other important companies that have threatened to derail the release. Those problems appear now to have been solved and the company's catalogue includes more than 40 million songs, which it said include "the hottest Indian and international music".

To say the entertainment industry has changed since Kevin Tsujihara became chief executive of film and TV studio Warner Bros. in 2013 would be an understatement. Netflix Inc. has become a disruptive force in film and television. Walt Disney Co. is about to become an even bigger giant when it absorbs much of 21st Century Fox and launches its own streaming service. Warner Bros. itself, at nearly a century old, is adjusting to new ownership under Dallas telecom behemoth AT&T Inc., which bought Time Warner Inc. (now called WarnerMedia) for $85.4 billion last year. The studio is coming off a strong year at the box office, grossing $5.6 billion globally with hits including "A Star Is Born" (which won the Oscar for best original song) and "Crazy Rich Asians."

Rotten Tomatoes is no longer allowing people to post comments about films before they come out, to try to stop trolling. The site announced the change in a blog post, saying some comments are "a disservice to our general readership". It says there's been an "an uptick in non-constructive input, sometimes bordering on trolling". But the movie site assured fans they would still be able to review films once they're released. "We have decided that turning off this feature for now is the best course of action," the blog said.

Spotify has finally launched in India, following a long wait and a whole variety of legal arguments. The company will now let people sign up and get access to a version of Spotify that is "tuned to Indian music fans' personal tastes", including special features that have been created for the country. Spotify has been rumoured to be on its way into India for months. But it has been hit by a number of fallouts with record labels and other important companies that have threatened to derail the release. Those problems appear now to have been solved and the company's catalogue includes more than 40 million songs, which it said include "the hottest Indian and international music".

I've seen a lot articles about people switching from TensorFlow to PyTorch, but not the other way around. We can have a good understanding about the strengths and weaknesses of the two frameworks if we could hear stories from both sides. I'm one of the people who are slowly moving towards PyTorch, I would like to know more before rewriting tens of thousands lines of old code. Even if both frameworks are similar, there should be far less people switching from PyTorch to TensorFlow because PyTorch came later. So, to have a good discussion are there at least people who are on PyTorch that are considering TensorFlow or people who are regretting switching to PyTorch?

Fifteen years ago I came to Bangalore, India's Silicon Valley, to do a documentary on outsourcing. One of our first stops was a company called 24/7 whose main business was answering customer service calls and selling products, like credit cards, for U.S. companies half a world away. The beating heart of 24/7 back then was a vast floor of young phone operators, most with only high school degrees, save for a small pool of techies who provided "help desk" advice. These young Indians spoke in the best American English, perfected in a class that we filmed, where everyone had to practice enunciating "Peter Piper picked a peck of pickled peppers" -- and make it sound like they were from Kansas not Kolkata. The operations floor was so noisy from hundreds of simultaneous phone conversations that 24/7 installed a white-noise machine to muffle the din, but even then you could still occasionally hear piercing through the cacophony some techie saying to someone in America, the likes of: "What, Ma'am? Your computer is on fire?"

The flood of trolling on Rotten Tomatoes started about a month ago. Weeks before the release of Captain Marvel, commenters on the site were already claiming the movie was garbage and that they had no intentions of seeing it. "Terrible movie hate it already!!!!!!" wrote one. "Not interested in seeing another SJW [Social Justice Warrior] propaganda film," claimed another. And finally: "THIS MOVIE IS DESTINED TO FLOP."

If you want to make changes to the way your face, hair, and clothing appear in photos you've posted online, help could soon be at hand. Artificial Intelligence (AI) software under development in South Korea lets you make alterations with the flick of a finger. Users can draw the changes they want - such as higher eyebrows, a different jawline or new earring - onto images directly. The system interprets these doodle to make realistic changes to the photo underneath. The new system, published in a scientific paper, allows users to change photos by doodling onto them.

Rotten Tomatoes is overhauling its Audience Rating System in an effort to stamp out so-called "review bombing." As part of the ongoing changes, the review aggregation site is axing the "want to see" audience anticipation rating ahead of a film's release. The update arrives in the wake of the latest "review bombing" campaign against Captain Marvel, the first female-led Marvel Studios movie, which saw trolls weaponize the user rating system to drive down its "want to see" score to a paltry 28 percent. This despite all box office tracking estimates indicating the film was set for a blockbuster opening. According to Rotten Tomatoes, visitors were confusing the "want to see" rating with its "Audience Score."

Human fact-checkers simply cannot stem the flood tides of misinformation on the Internet. Dr. Daniel Lowd, University of Oregon, Computer and Information Science, addresses this issue.