The Verge: AlphaGo retires from competitive Go after defeating world number one 3-0

The Verge: AlphaGo retires from competitive Go after defeating world number one 3-0. “AlphaGo is going out on top. After beating Ke Jie, the world’s best player of the ancient Chinese board game Go, for the third time today at the Future of Go Summit in Wuzhen, Google’s DeepMind unit announced that it would be the last event match the AI plays.”

TechCrunch: Google’s AlphaGo AI defeats team of five leading Go players

TechCrunch: Google’s AlphaGo AI defeats team of five leading Go players. “Are five human heads better than one computer brain? Not when it comes to playing Go. AlphaGo, the AI created to play the game of Go better than anyone alive, has defeated a team made up of five Go champions in a demonstration match on Friday.”

CNET: Google AI AlphaGo wins again, leaves humans in the dust

CNET: Google AI AlphaGo wins again, leaves humans in the dust. “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.”

ARC: Microsoft And Google Are At The Start Of An Epic AI Arms Race

ARC: Microsoft And Google Are At The Start Of An Epic AI Arms Race. “Artificial intelligence, driven through the increased power and ubiquity of the cloud, is poised to change how all human business and behavior are performed. Two companies—Google and Microsoft—are poised to dominate the era of artificial intelligence and over the past few years have built nearly identical portfolios of machine learning and artificial intelligence products they are selling to developers and corporations across the world.”

Wired: Medicine Is Going Digital. The FDA Is Racing to Catch Up

Wired: Medicine Is Going Digital. The FDA Is Racing to Catch Up. “Today, machine learning powers more and more medical device software. And because it is always learning and improving, it is constantly changing products on the fly. For most regulators, an ever-changing algorithm is their worst nightmare. But [Bakul] Patel is one of those rare Washington bureaucrats who’s also a fervently optimistic futurist. And he’s got big plans to get federal regulators off Washington time and up to Silicon Valley speeds.”

Hackaday: Wrap Your Mind Around Neural Networks

Hackaday has an explanatory post about machine learning and neural networks. “If you’re familiar with my quantum theory articles, you’ll know that I like to take complicated subjects, strip away the complication the best I can and explain it in a way that anyone can understand. It is the goal of this article to apply a similar approach to this idea of Deep Learning. If neural networks make you cross-eyed and machine learning gives you nightmares, read on. You’ll see that ‘Deep Learning’ sounds like a daunting subject, but is really just a $20 term used to describe something whose underpinnings are relatively simple.”