It's not hyperbole to say that use cases for machine learning and deep learning are only limited by our imaginations. About one year ago, a former embedded systems designer from the Japanese automobile industry named Makoto Koike started helping out at his parents' cucumber farm, and was amazed by the amount of work it takes to sort cucumbers by size, shape, color and other attributes. Makoto's father is very proud of his thorny cucumber, for instance, having dedicated his life to delivering fresh and crispy cucumbers, with many prickles still on them. Straight and thick cucumbers with a vivid color and lots of prickles are considered premium grade and command much higher prices on the market. But Makoto learned very quickly that sorting cucumbers is as hard and tricky as actually growing them.

The legal industry has a reputation for being slow to change and behind the curve on adopting new technologies. These numbers paint the picture of a backward-facing industry focused on efficiency at the expense of innovation. In other words, law firms must respond to the changing demands of consumers just as companies do in other industries. For this reason, digital transformation is coming to the legal industry. For episode 188 of the CXOTALK interview series, which invites people shaping our world to discuss their experience with digital transformation, I spoke with Michael Shea, CIO of Morgan Lewis, one of the largest law firms in existence.

The entire tech industry is racing to build artificial intelligence and machine learning technologies, computers that can learn and react to stuff they've never seen before, sort of like a human brain. Naturally, tech giant Google is smack dab in the middle of this trend. Just like the move to mobile gave rise to companies like Uber and Snapchat, Google's chairman Eric Schmidt believes that machine learning will underpin the next crop of game-changing successful companies. Google has built a team of machine learning researchers that call themselves the Google Brain Team. As this team creates new machine learning technology, they make it available to others as a service on Google's cloud.

The purpose of this Initiative is to ensure every technologist is educated, trained, and empowered to prioritize ethical considerations in the design and development of autonomous and intelligent systems. We invite you to join experts that span the fields of engineering, law, science, economics, ethics, philosophy, politics, and health in this work. Vice Chair: Kay Firth-Butterfield, Chief Officer, Chair and member of the Lucid.ai

Scientists at IBM Research have collaborated with 20th Century Fox to create the first-ever cognitive movie trailer for the movie Morgan. Utilizing experimental Watson APIs and machine learning techniques, the IBM Research system analyzed hundreds of horror/thriller movie trailers. After learning what keeps audiences on the edge of their seats, the AI system suggested the top 10 best candidate moments for a trailer from the movie Morgan, which an IBM filmmaker then edited and arranged together. A corporate troubleshooter (Kate Mara) is sent to a remote, top-secret location, where she is to investigate and evaluate a terrifying accident. She learns the event was triggered by a seemingly innocent "human," who presents a mystery of both infinite promise and incalculable danger.

The Seattle tech titan hired eBay's head of artificial intelligence, Hassan Sawaf, to lead its own A.I. operation in Palo Alto, Calif.

A 100-year project conceived by Microsoft Research's Eric Horvitz to trace the impacts of artificial intelligence has issued its first report: a 28,000-word analysis looking at how AI technologies will affect urban life in 2030. Put away those "Terminator" nightmares of a robot uprising, at least for the next 15 years – but get ready for technological disruptions that will make life a lot easier for many of us while forcing some of us out of our current jobs. That assessment comes from Stanford University's One Hundred Year Study on Artificial Intelligence, or AI100, which is Horvitz's brainchild. Horvitz, a Stanford alumnus, is a former president of the Association for the Advancement of Artificial Intelligence and the managing director of Microsoft Research's Redmond lab. Horvitz and his wife, Mary, created the AI100 endowment with the aim of monitoring AI's development and effects over the coming century.

VENICE Wim Wenders shot "Les Beaux Jours d'Aranjuez", an adaptation of a play by Austrian writer Peter Handke, in 3D to draw viewers more intimately into a dialogue about how men see women and how women see men, the veteran German director said on Thursday.

For years, science-fiction moviemakers have been making us fear the bad things that artificially intelligent machines might do to their human creators. But for the next decade or two, our biggest concern is more likely to be that robots will take away our jobs or bump into us on the highway. Now five of the world's largest tech companies are trying to create a standard of ethics around the creation of artificial intelligence. While science fiction has focused on the existential threat of AI to humans, researchers at Google's parent company, Alphabet, and those from Amazon, Facebook, IBM and Microsoft have been meeting to discuss more tangible issues, such as the impact of AI on jobs, transportation and even warfare. Tech companies have long overpromised what artificially intelligent machines can do.

Amazon lures away eBay's artificial intelligence chief Amazon poaches eBay A.I. chief, continues ramping up machine learning operations Now's the time to submit your talks for the AI Summit at GDC 2017