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.

Last night's Oscar winners were completely in line with the predictions announced on March 1 by BigML, the machine learning company where I am a strategic advisor. And when I say "in line" I really mean that: strike; 100% on the nail, in one category after another. The candidates for each and every one of the six major categories Big ML's algorithm picked as favorites (best film, best director, best actor, best actress, best supporting actor and best secondary actress) all came in. There was 28,125 combinations, which means a 0.00003556 probability of guessing them all by chance. And such algorithm, once correctly fed with data and fine tuned, was able to predict the voting intention of the more than 7,000 members of the Academy.

Artificial intelligence video tools make it relatively easy to put one person's face on another person's body with few traces of manipulation. I tried it on myself. The scene opened on a room with a red sofa, a potted plant and the kind of bland modern art you'd see on a therapist's wall. In the room was Michelle Obama, or someone who looked exactly like her. Wearing a low-cut top with a black bra visible underneath, she writhed lustily for the camera and flashed her unmistakable smile.

Emma Watson displayed some new ink at the Vanity Fair Oscar Party but social media users pointed out the tattoo's glaring grammatical error. The "Harry Potter" star showed off a tattoo that read "Times Up" on her arm -- clearly missing the apostrophe for the organization Time's Up. It was not immediately clear if the tattoo was real. People reported the tattoo could be be temporary. The Brown University graduate has been an outspoken proponent of the Time's Up movement, which began after bombshell exposés revealed decades of alleged sexual misconduct by Hollywood producer Harvey Weinstein.

A typical impact evaluation works with a sample S to give them a treatment Treat, and is interested in estimating something like: Y(i,t) b(i,t)*Treat(i,t) D'X(i,t) for units i in the sample S We can think of machine learning and artificial intelligence as possibly affecting every term in this expression:

Everyone seems to be "using" artificial intelligence these days. Big players like Amazon and Target are pouring huge amounts of resources into machine learning, and many companies sell "Artificial intelligence" tools for the retail industry.