Morphology in unbalanced languages remains a big challenge in the context of machine translation. In this paper, we propose to de-couple machine translation from morphology generation in order to better deal with the problem. We investigate the morphology simplification with a reasonable trade-off between expected gain and generation complexity. For the Chinese-Spanish task, optimum morphological simplification is in gender and number. For this purpose, we design a new classification architecture which, compared to other standard machine learning techniques, obtains the best results. This proposed neural-based architecture consists of several layers: an embedding, a convolutional followed by a recurrent neural network and, finally, ends with sigmoid and softmax layers. We obtain classification results over 98% accuracy in gender classification, over 93% in number classification, and an overall translation improvement of 0.7 METEOR.

The Falcons are facing third and goal on the Patriots' five-yard line. Matt Ryan takes the snap and hands off to Devonta Freeman, already running hard at the goal line. Then, with a crunch audible to the topmost rows of NRG Stadium, Freeman is brought down by Dont'a Hightower right at the goal line. Touchdown?! Silence falls as all eyes turn… not to the referees on the sidelines (there aren't any) but to giant LCD panels behind the end zones. The screens remain black for several long moments until "TOUCHDOWN" lights up.

The Falcons are facing 3rd and goal on the Patriots' 5 yard line. Matt Ryan takes the snap and hands off to Devonta Freeman, already running hard at the goal line. Then, with a crunch audible to the topmost rows of NRG Stadium, Freeman is brought down by Dont'a Hightower right at the goal line. Silence falls as all eyes turn… not to the referees on the sidelines (there aren't any) but to giant LCD panels behind the end zones. The screens remain black for several long moments until "TOUCHDOWN" lights up.

Seiya Tokui is a researcher at Preferred Networks, Inc. and a Ph.D. student at the University of Tokyo, from which he received the master's degree in mathematical informatics in 2012. He is the lead developer of Chainer, a deep learning framework. His research interests include deep learning and generative models.

Chess enthusiasts watch World Chess champion Garry Kasparov on a television monitor as he holds his head in his hands at the start of the sixth and final match 11 May 1997 against IBM's Deep Blue computer in New York. Kasparov lost this match in just 19 moves giving overall victory to Deep Blue with a score of 2.5-3.5 (STAN HONDA/AFP/Getty Images) This week's milestones in the history of technology include the invention of the integrated circuit, the first singing telegram, and the first widely-publicized triumph of the machines over humans. Jack Kilby of Texas Instruments (TI) files for a patent on the integrated circuit. For this invention he received the 2000 Nobel Prize for Physics. The notion of an integrated circuit was there.

Robert O. Work, the veteran defense official retained as deputy secretary by President Trump, calls them his "A.I. dudes." The breezy moniker belies their serious task: The dudes have been a kitchen cabinet of sorts, and have advised Mr. Work as he has sought to reshape warfare by bringing artificial intelligence to the battlefield. Last spring, he asked, "O.K., you guys are the smartest guys in A.I., right?" No, the dudes told him, "the smartest guys are at Facebook and Google," Mr. Work recalled in an interview. The United States no longer has a strategic monopoly on the technology, which is widely seen as the key factor in the next generation of warfare.

Hold on to your phones Nexus 5X and Nexus 6P owners. There isn't a need for a hardware upgrade on your end, because a software update is bringing some of Google Pixel's features to your handsets including Google Assistant. As of late, voice-activated AI assistant Google Assistant is exclusive to Google's Pixel and Pixel XL smartphones. But things are about to change because Google is rolling out the feature to the Nexus devices as well. Though it's a remarkable feat for Google Assistant to reach out to other handsets, it won't be the first Pixel-exclusive feature to make it to the Nexus devices.

On the Stanford University campus, you could practically throw a rock and hit 100 graduate students who are building apps that enable people to communicate more effectively. But Terry Winograd is particularly enthusiastic about the app one of his graduate students, Catalin Voss, is working on. Voss, a native of Germany who completed his bachelor's and master's degrees last June at the age of 21, is working on an app that deploys Google Glass, linked to a smartphone, to help autistic children recognize human emotions through facial expressions. Venture capitalists weren't interested, even though Voss had created and sold a startup that used eye-tracking technology to monitor attentiveness to a Toyota subsidiary while still a freshman. But Terry Winograd was interested. "It runs, it has AI [artificial intelligence]," says Winograd, who 20-odd years ago advised another graduate student on the then nascent field of searching the World Wide Web. "It's at a stage where we've actually put 30 devices into homes. Our goal is to have 100 in the trial." Voss says his objective is to build a medical product that insurers will be willing to pay for. "We want to prove the investors wrong, who didn't believe in it, and build an aid for people with autism, and other mental disorders as well," he says. "We believe we've built a fairly holistic system for mental health." Winograd was Voss's first choice for an advisor even though the 70-year-old professor retired from teaching three years ago.

The principles are laid out to ensure that the rapidly developing artificial intelligence systems of the world remain in service of humanity. MANILA, Philippines – Recently, an artificial intelligence (AI) computer program called Libratus defeated 4 poker professionals – a "landmark step" for AI, said its creator, because poker had been particularly challenging for AI up until that point. AI's victory in the poker contest – following wins in chess and the even more complex boardgame "go" – is a reminder that AI is getting smarter all the time. How then does humanity make sure that it remains an ally and doesn't go rogue like Skynet did in the Terminator series? That was the question discussed by global experts at the Beneficial AI conference held in early January in California.

UK: UK-based startups also accounted for 4% of global deal share in 2016. To name a few, Cambridge Medical Robotics raised $20M in Series A from investors including ABB Technology and Escala Capital; social robot Olly raised $10M in Series A from Lightning Capital and Alliance Capital Ventures; and educational robot-building startup tio was seed-funded by the Kickstarter Accelerator. Smart Money VCs: CRV backed Israel-based automated drone startup Airobotics in a $28.5M combined Series A and B round in Q2'16. Battery Ventures backed another Israel-based autonomous drone startup, Dronomy. Accel Partners and Sequoia Capital China backed previously mentioned drone company DJI Innovations.