SenseTime Co., a Chinese artificial intelligence start-up backed by Alibaba Holdings Ltd., has formed an alliance with one of the US' top university to jointly explore human and machine intelligence. The Beijing-based firm will jointly work with the Massachusetts Institute of Technology undertake research into original AI technologies such as computer-vision, human-intelligence-inspired algorithms, medical imaging, and robotics, online news outlet QQ Tech reported. SenseTime recently became the first company to join MIT's Intelligence Quest, which aims to leverage the Institute's strengths in brain and cognitive science and computer science to advance research into human and machine intelligence. Considered the world's leading AI unicorn valued at more than USD3 billion, SenseTime has developed a sophisticated proprietary deep learning platform and built applications for multiple industries. The company has offices in Hong Kong, Beijing, Shenzhen, Hangzhou, Shanghai, Chengdu, Kyoto, Tokyo and Singapore.

For K-pop stars used to Pop Idol-style fame factories, Tuesday's concert at Blue Square Concert Hall in Seoul was still an artificial first. The 3,000 screaming fans were real, as were chart-topping, body-popping girl groups Spica and Produce 101 -- but all of the songs were written by a London-based song-bot. Each of the tunes in the set had been composed by Moorgate-based Jukedeck. The artificial intelligence (AI) start-up was founded by 30-year-old former King's College Cambridge choristers Ed Newton-Rex and Patrick Stobbs (Stobbs is also a Google alumnus). Simply, the technology reads music and learns what notes, chords and combinations work in order to generate good music.

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In preparation for his participation in a panel discussion hosted by Demos about the future of artificial intelligence, The Director of the Media Policy Project and the Director of the LSE Truth, Trust and Technology Commission, Professor Charlie Beckett, prepared the following notes. You can follow read more about the discussion by searching #futureofai on Twitter. I think that AI and machine learning is a big deal for journalism and news information. Possibly as important as the other developments we have seen in the last 20 years such as online platforms, digital tools and social media. My 2008 book on how journalism was being revolutionised by technology was called SuperMedia because these technologies offered extraordinary opportunities to make journalism much more efficient and effective – but also to transform what we mean by news and how we relate to it as individuals and communities.

We see the power of artificial intelligence every day: When Netflix recommends a movie you love, when your bank detects fraud in your account, or when Google routes you around a traffic jam. But outside of examples from mammoth companies with millions to spend on data science initiatives, there's a decided lack of AI success among the rest of us. That's the conclusion that Ali Ghodsi has come to. As the co-founder and CEO of Databricks and an adjunct professor at UC Berkeley, Ghodsi has a direct view into the types the AI projects that organizations are embarking on. It turns out, those organizations are struggling mightily, and he wonders why more people aren't talking about it.

A technology called "predictive algorithms" can learn what your face looks like and then predict what your face would look like in other situations. Unsurprisingly, some are using it to map celebrities' faces onto the bodies of porn stars having sex. In the latest episode of Today, Explained, Vox's Aja Romano tells host Sean Rameswaram how "deepfakes" are spreading across the internet, what it means for consent, and what platforms like Reddit are doing -- or not doing -- to stop it. Later in the episode, Peter Eckersley, chief computer scientist at the Electronic Frontier Foundation, explores how the same technology could tear our society apart in bigger ways -- namely by encouraging the spread of fake news. How do I get even more Today, Explained?

January 25 & 26 in San Francisco will see the sixteenth global Deep Learning Summit and the fifth global AI Assistant Summit joined by the first ever Deep Learning for Enterprise Summit. Use code KDNUGGETS to save 20% on Early Bird passes!

A while back, I was reading an article posted on Facebook, about Clovis people found alive and well living in Florida, with a picture featuring tribesmen (see below.) The quality of the picture was poor, and the URL was very suspicious: baynews9.com.ddwg.clonezone.link, as to make it appear that it was from Baynews9.com. It turned out that the picture (and thus the whole story) was fake: these people are real people living in Peru, see here for a Youtube video about them. My question is how to detect that a story is fake? The picture might have metadata embedded in it, allowing the data scientist to find the real source, unless it is a screenshot.

Communication is an essential pillar of society. Humanity's progression over the past millennium was largely driven by the development and evolution of communication as a tool for distributing siloed thoughts from one individual to others. Communication is naively defined as content and the mode of transmission -- symbols manifested as images, language transmitted through speech and writing, digital files sent through the internet. These are methods through which we communicate thoughts, ideas, facts, and opinions. New forms of communication emerge to expand the lexicon of thought and reduce the friction required to create and transmit content.

This is what our readers loved most in February. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Despite being a short month, February was full of deals on some great products. We saw sales on high-end OLED and 4K smart TVs, mattresses infused with green tea, Instant Pots, robot vacuums, and tons of kitchen and tech accessories.