If conventional psychology isn't up to the task, perhaps we should step back and consider a tantalizing sci-fi alternative -- that Trump doesn't operate within conventional human cognitive constraints, but rather is a new life form, a rudimentary artificial intelligence-based learning machine. When we strip away all moral, ethical and ideological considerations from his decisions and see them strictly in the light of machine learning, his behavior makes perfect sense. Consider how deep learning occurs in neural networks such as Google's Deep Mind or IBM's Deep Blue and Watson. The goal of DNA is self-reproduction; the sole intent of Deep Mind or Watson is to win.

Apple Inc. works on a devoted AI chip. Bloomberg reported that the company is building its own processor for artificial intelligence. Moreover, the tech giant named it Apple Neural Engine. Google already built its AI dedicated chip which is called, TPU [Tensor Processor Unit]. Introducing Siri in 2011, Apple Inc. was ahead in the Artificial Intelligence [AI] race.Users can operate their smartphones using Siri with voice commands.

Sören Schwertfeger finished his postdoctorate research on autonomous robots in Germany, and seemed set to go to Europe or the United States, where artificial intelligence was pioneered and established. Instead, he went to China. "You couldn't have started a lab like mine elsewhere," Mr. Schwertfeger said. The balance of power in technology is shifting. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future.

Human champion Ke Jie competes against AlphaGo at the Future of Go Summit. Two days ago in the Zhejiang Province of China, Google's Go-playing artificial intelligence AlphaGo bested current world Go champion Ke Jie in the first game of a three-part match, sliding by on a half-point victory. Now the second game has taken place -- and once again, AlphaGo has emerged the winner. The human gave it his all. "Incredible," wrote DeepMind founder and CEO Demis Hassabis on Twitter while the match was underway.

Zeeshan Syed, Director of the Clinical Inference and Algorithms Program at Standford Healthcare, presents the differences between AI and machine learning and discusses current applications of each technology in healthcare.

Twitter will not be taking part in the development of chatbot, a trend that is rising growing very quickly. In its participation, the social network will be introducing new features and primarily for advertisers, which will allow promotion of ads by businesses. If well designed, the advertisements should be able to offer personalized experiences to consumers who are within Direct Messaging the likes of chatbots. Interactions will be carried out through a "Direct Message Card," which is new but has a provision of customization either by an image or video. Apparently, Twitter's cards are not comparable to Facebook chatbots.

Google's AlphaGo program has won two games against Chinese player Ke Jie in the game of go, which has billions of possible moves and had been hard for computers to play.

Despite billions being spent on research, even our best deep learning neural networks look pitiful when compared to the intricate design of the brain of a bumble bee or even an ant, Peter Bentley tells John Thornhill.

A computer wasn't supposed to be able to beat a grandmaster at the ancient game of Go for at least another decade. But AlphaGo, an artificially intelligent system designed by Google-owned DeepMind, did just that. In its public debut last year at a tournament in Seoul, AlphaGo thrashed Lee Sedol, the best player of last decade. Now AlphaGo is back, facing off in China against the world's top player to show just how much further machine-approximated intuition has advanced over the past year, and WIRED is there. Tomorrow morning, AlphaGo is set to play 19-year-old Ke Jie in Wuzhen, a town crisscrossed by canals 80 miles west of Shanghai.

Machine Learning is the buzzword of the moment. In recent years, news stories raving about its possibilities have soared, Google searches for the term have quadrupled, and companies across the globe have been scrambling to figure out how to capitalize on the excitement by bringing it into their product mix. While that can be a great thing, claims made by some businesses about what Machine Learning can do are wildly exaggerated. That makes it crucial to cut through the noise and get to grips with its potential, limitations, and what you can realistically achieve with your resources so that any investment makes solid business sense -- so say Philip Lima, CEO of Mashey, and Boaz Farkash, Head of Product Management at Sisense. The pair joined forces to deliver an in-depth webinar on Machine Learning and business intelligence, which you can view in full here.