Find more information and to download links on the Magenta blog: https://goo.gl/yoXbgf Members of the Google Brain team have been exploring how machine learning can be used as a creative tool through a project called Magenta. In this video, members of the team give an overview of how they turned an interface that allows researchers to interactively evaluate their music generation models into a fun and powerful creative tool for musicians called "AI Jam". This interface won the Best Demo award at the 2017 Conference on Neural Information Processing Systems (NIPS) and is freely available on Magenta's GitHub site.

We typically think of artificial intelligence (AI) within our industry in terms of processes and calculations. Media buying, for example, is ripe for intervention by sophisticated algorithms and machine learning systems. The commonly-held assumption is that developments such as these will free up humans to spend more time on creative tasks, like campaign strategy and content production. But as we move from rule-based automation to true AI, should we believe that creativity will remain a singularly human pursuit? How close is artificial intelligence to being able to carry out the role of a content marketer?

The other day I got around to watching the 2015 Alex Garland debut sci-fi thriller, Ex Machina. Without spoiling too much of the plot of the film, it got me to thinking about the different aspects of artificial intelligence. The idea that an A.I. unit having the potential to service the needs of a particular individual is something that is both an exciting, yet a strangely terrifying prospect. The concept of artificial intelligence is nothing new in science fiction literature and films. It's just that some of the aspects of A.I. can be observed in our society today.

The Press Association, a UK news agency, received about $807,000 from the third round of Google's Digital News Initiative funding. Reporters and Data and Robots, or RADAR, an AI/human collaborative news site which will produce "a daily diet of compelling stories." RADAR is listed on the DNI site as a "large" project, with a goal towards providing a steady stream of ready-made content for smaller news sites: Using a combination of editorial expertise and automation, applied to the burgeoning supply of open data and the increasing sophistication of distribution tools, RADAR will provide a major enhancement to the local digital news ecosystem … This will provide a significant boost to the local media industry at a time when budgets are under increasing pressure – but when the public's interest in local news is as high as ever. My journalist brothers and sisters shouldn't worry, though, according to Press Association editor Pete Clifton. Skilled human journalists will still be vital in the process, but RADAR allows us to harness artificial intelligence to scale up to a volume of local stories that would be impossible to provide manually.

AT THE start of this year, two straws in the wind caught the attention of those who follow the development of artificial intelligence (AI) globally. First, Qi Lu, one of the bosses of Microsoft, said in January that he would not return to the world's largest software firm after recovering from a cycling accident, but instead would become chief operating officer at Baidu, China's leading search engine. Later that month, the Association for the Advancement of Artificial Intelligence postponed its annual meeting. The planned date for the event in January conflicted with the Chinese new year. These were the latest signals that China could be a close second to America--and perhaps even ahead of it--in some areas of AI, widely considered vital to everything from digital assistants to self-driving cars.

The Premier League is considering live-streaming matches online, a new report claims. Viewing figures hit a seven-year low last season, and bosses are said to be "weighing up" the idea of making games available to watch through a Netflix-style streaming service. The dip has largely been blamed on the rise of so-called "fully loaded Kodi boxes", but increasingly expensive ticket prices and TV packages, as well as changing viewing habits, are also key factors. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Sci-fi level Artificial Intelligence (AI) like HAL 9000 it was promised since 1960s, but PCs and robots kept dumb until recently. Now, tech giants and startups are announcing the AI revolution: self-driving cars, robo doctors, robo investors, etc. PwC just said that AI will contribute $15.7 trillion to the world economy by 2030. "AI" it's the 2017 buzzword, like "dot com" it was in 1999, everyone claims to be into AI. Don't be confused by the AI hype. Is this a bubble or real? AI is not easy or fast to apply. The most exciting AI examples come from universities or the tech giants. Self-appointed AI experts who promise to update any company to the latest AI in short time are doing AI misinformation. No "deep learning" will be soon implemented by the wide and general businesses. Most have too few digital data or still use pen and paper, and AI needs million data samples to learn something.

It is 10pm on Tuesday, and I have just become the 1,106,079th Spotify user this month to listen to an artist called Charles Bolt. The track I'm playing, Far and Beyond, is a gentle piano instrumental, not unlike the music Yann Tiersen composed for the soundtrack of whimsical French movie Amélie. This, I confess, is proving something of a problem. I have been listening to gentle piano instrumentals not unlike the music Yann Tiersen composed for the soundtrack of Amélie all day, and I suspect I reached the limits of my tolerance for it some hours back. This music long ago ceased to make me feel chilled or peaceful or any of the adjectives used in the titles of the Spotify playlists that contain it. Now I suspect it has turned me faintly hysterical.

Last summer, Apple was busy advertising its latest move to beef up Siri, the personal digital assistant for the iPhone, iPad and Mac computers. For the first time, Apple said, developers would be able to use Siri with our favorite apps, thus promising a brighter future for the heavily used, but often maligned, voice computing tool. "Siri," Apple said in September, when the latest IOS mobile operating system was released, "works with your favorite apps from the App Store." Apple in 2016 opened up Siri to bring the personal assistant to apps, but few developers have signed on. Jefferson Graham explains why, on #TalkingTech.

Inverse problems is an exciting field of mathematics using concepts from analysis, optimization, numerical analysis several others. This type of problem has had a growing interest in the machine learning community, and has mostly been studied where the forward operator is camera-related, such as the classical denoising, inpainting, deblurring and super-resolution problems. Lately, there has been a move towards more complicated forward models, and several papers are discussing compressive sensing as well as MRI and even CT reconstruction. With this move, machine learning has in only a few years given state-of-the-art results. With that said, several open research questions have yet to be answered.