AI is also generating its own content with little or no human supervision. AI that generates text is widespread in journalism and used by publishers to automate some news production. The Associated Press has used AI to free up around 20% of reporters' time while increasing output tenfold. The Washington Post developed a tool to cover sports and political news, producing about 70 articles a month in its first year. In music, AI has produced instrumental sounds that humans have never heard before.

Spike Jonze essentially makes two types of commercials. There's the distraction model, in which a frenetic, unrelated-to-the-product conceit takes over the ad, like his KENZO World commercial from 2016 starring Margaret Qualley and the Dorothy Chandler Pavillion: In this category, we can put his ad for Levi's fly weight jeans (like the KENZO World ad, it's mostly about choreography) as well as that Nissan Frontier commercial that is mostly about a dog pushing a recliner through traffic. Then there are the Spike Jonze ads that would be anti-capitalist if they weren't ads. See, e.g., his IKEA ad, which made fun of viewers for becoming emotionally attached to products (while simultaneously encouraging them to buy more products): Or his Gap ad, which harnessed people's bottled up rage at monotonous chain retail stores (while simultaneously encouraging them to shop at the Gap): His newest ad for Apple HomePod combines the two forms: it's a strikingly beautiful short film, in which the Apple HomePod transforms FKA Twigs' depressing apartment into a rainbow-striped wonderland by choosing exactly the right song at exactly the right time. It also makes owning an Apple HomePod seem supremely depressing and possibly dangerous on an interdimensional level.

In this special report on the future of artificial intelligence, we explore the technology's implications. Are people ready to trust their lives to driverless cars? Who's to blame when price-setting algorithms work together to collude?

Like a film critic asked if the Oscars got it right this year, one has to feel a sense of standing too close to the frame, the field of vision too narrow to provide the context necessary for proper judgment. After spending an afternoon among the various installations that comprise "Thinking Machines: Art and Design in the Computer Age: 1959–1989," I wonder if this anxiety applied to the team tasked with creating this exhibit. In this case, I think not. Here, closeness to the frame is a virtue, not a vice. The thread running through the exhibit's diverse elements is both lucid and enjoyable: celebrating the collaborative possibilities between human artists and computational machines, and the energies unleashed when the humanistic meet the systematic.

Ever since the first artificial neural network was built in 1951 by researchers at MIT, artificial intelligence has gradually muscled its way into a wide range of areas: video games, search engines, healthcare, smartphones, and transport. AI programs have already learnt how to imitate Bach and the Beatles, and at the end of last year, researchers even trained a neural network to produce "original" metal in the vein of Krallice, Meshuggah, and the Dillinger Escape Plan. Yet while the doom-mongers are predicting that even human creativity will eventually be made obsolete by robots, a growing wave of artists are using AI and algorithms to take their own music in new and exciting directions. Some are using machine learning to teach software to compose music they later play themselves, while others are using live coding to program electronic music that's improvisational, unpredictable, and surprisingly human. Either way, the 10 artists in this list are not only harnessing high-technology to make unique and progressive music, they're also showing how the rise of AI doesn't necessarily mean the death of creativity. One of last year's best examples of live coding, Belisha Beacon's debut This Is Fine uses the ixi lang programming language to create minimal, looping techno.

Unanimous AI is known for accepting high-profile challenges from journalists, testing the power of its Swarm AI technology across a range of venues. After correctly predicting the World Series and Kentucky Derby -- and perfectly forecasting Trump's 100-day approval rating before he even took office -- Unanimous AI took aim at the 90th Academy Awards, providing results to journalists last week for publication. Its Swarm AI technology was nearly perfect, achieving 94% accuracy across the 16 major award categories, with only one award not coming out as predicted. The technology was 100% accurate in forecasting winners in the six major categories, including Best Picture. In that category, Swarm AI disagreed with most industry experts – and the Vegas odds – which deemed Golden Globe Winner "Three Billboards Outside Ebbing Missouri" the favorite over Swarm AI's predicted winner, "The Shape of Water."

A Netflix-style recommendation engine on steroids, a Google AdWords beater and a souped-up game simulator are among a number of machine learning models at work behind the scenes at online bookmaker Sportsbet, the company has revealed. "Our goal is to improve the customer experience at every customer interaction," said Tony Gruebner, the company's general manager, analytics, insights and modelling. Speaking at the Gartner Data and Analytics Summit in Sydney last week, Gruebner explained: "One of the best ways of doing that is to build great data products utilising the company's wealth of data – which is exponentially growing – and also machine learning and artificial intelligence capabilities." Sportsbet helped make gambling mainstream in Australia, was bought out by Paddy Power in 2010 and quickly became the country's biggest corporate online bookmaker, a title it still holds. It makes around 1.7 billion price updates, offers punters 11 million markets and takes 240 million bets every year.

We present the ConditionaL Neural Network (CLNN) and the Masked ConditionaL Neural Network (MCLNN) designed for temporal signal recognition. The CLNN takes into consideration the temporal nature of the sound signal and the MCLNN extends upon the CLNN through a binary mask to preserve the spatial locality of the features and allows an automated exploration of the features combination analogous to hand-crafting the most relevant features for the recognition task. MCLNN has achieved competitive recognition accuracies on the GTZAN and the ISMIR2004 music datasets that surpass several state-of-the-art neural network based architectures and hand-crafted methods applied on both datasets.

Artificial intelligence was once considered something tech companies developed exclusively. Nowadays, AI is being deployed within news organizations, healthcare companies, and others. The conversation around AI has been heating up at the present time. The advances in consumer technology, data, analytics, smartphones, and others have opened the doors to creating AI programs. The latest trend in utilizing new technology is the Compass News app, which focuses on news stories and is driven by AI.

If you get an invite to Stanley Kubrick's house, never refuse. I was fortunate enough to be invited by the University of Arts and the Kubrick family to an intimate evening in Harpenden to celebrate the launch of Thames & Hudson's book Artificial Intelligence: The Vision Behind The Film. I went to take a picture but was swiftly reprimanded. Oh, the irony of being in the house of one of cinema's greatest directors but unable to take a photo -- Kubrick may be dead, but the air of secrecy still lingers thick. I made my way down a grand, glass-floored corridor and entered his red walled library, packed full of medical tomes, history books, sci fi novels and a smattering of awards.