Deep-learning algorithms have already mastered games like Starcraft to beat humans, and now they have shown they can team up to beat us too. The news: In a paper published in Science yesterday, DeepMind showed how it had let AI programs loose in a modified version of the 3D first-person video game Quake III Arena. The team used an algorithm called "For the Win," which trains a host of agents in parallel using reinforcement learning, the technique that lets AI learn which tactics work and which do not (and that famously enabled DeepMind's AI to win at Go). This time, AI agents were trained on around 450,000 games of Capture the Flag, the classic game that involves snatching a flag from your opponent's base while protecting your own. Each agent could only see a first-person view of the maze-like structure, just as a human player would.

More than 80 percent of the world's oceans are currently unmapped, but a $7 million prize pool to explore the deep sea hopes to change that. The Ocean Discovery XPrize was today awarded to teams using uncrewed deep-sea vehicles to map the ocean floor and trace chemical signals underwater. The goal is to develop a comprehensive atlas by 2030. The grand prize required entrants to develop an autonomous vessel capable of mapping at least 250 square kilometres of the sea floor within 24 hours, up to a depth of 4 kilometres below surface level. The maps must be fairly high resolution, with data points taken no more than five metres apart.

A school district in western New York is launching a first-of-its-kind facial recognition system, generating new privacy concerns about the powerful but controversial technology. The Lockport city school district is beginning implementation of the Aegis facial recognition system this week, officials said, with the technology expected to be fully up and running in time for the new school year in September. "Much to our dismay, school shootings continue to occur in our country. In many cases, these shootings involve students connected to the schools where these horrific incidents occur," superintendent Michelle Bradley said in a message to parents. "The Lockport city school district continues to make school security a priority."

WASHINGTON - It's official: the machines are going to destroy you (if, that is, you're a professional gamer). A team of programmers at a British artificial intelligence company has designed automated "agents" that taught themselves how to play the seminal first-person shooter "Quake III Arena," and became so good they consistently beat human opponents. The work of the researchers from DeepMind, which is owned by Google's parent company, Alphabet Inc., was described in a paper published in Science on Thursday and marks the first time the feat has ever been accomplished. To be sure, computers have been proving their dominance over humans in one-on-one turn-based games such as chess ever since IBM's Deep Blue beat Garry Kasparov in 1997. More recently, a Google AI agent beat the world's No. 1 go player in 2017.

Flex it: Researchers at MIT have created a robot that closely monitors your biceps as you lift and move things around. The idea is to develop a system capable of collaborating with people more effectively.

Iranian soldiers carry part of a target drone used in air-defense exercises. Iran is also turning some target drones into low-tech weapons for its proxies. Iranian soldiers carry part of a target drone used in air-defense exercises. Iran is also turning some target drones into low-tech weapons for its proxies. In January, a group of high-level military commanders gathered at an air base in Yemen.

"Do you believe in magic?" Google asked attendees of its annual developer conference this May, playing the seminal Lovin' Spoonful tune as an introduction. Throughout the three-day event, company executives repeatedly answered yes while touting new features of the Google Assistant, the company's version of Alexa or Siri, that can indeed feel magical. The tool can book you a rental car, tell you what the weather is like at your mother's house, and even interpret live conversations across 26 languages. But to some of the Google employees responsible for making the Assistant work, the tagline of the conference – "Keep making magic" – obscured a more mundane reality: the technical wizardry relies on massive data sets built by subcontracted human workers earning low wages. "It's smoke and mirrors if anything," said a current Google employee who, as with the others quoted in this story, spoke on condition of anonymity because they were not authorized to speak to the press.

A two-person team from the UNICEF's Office of Innovation in New York recently joined DSTI in Sierra Leone to collaborate on a Machine Learning "Hackathon" As part of efforts to develop the technology and innovation ecosystem to support development of Sierra Leone, UNICEF is collaborating with the Directorate of Science, Technology and Innovation (DSTI) in the Office of the President, on a knowledge exchange partnership, around innovative Machine Learning techniques which, it is hoped, will add value to Government's work around data for decision making in the country. A two-person team from the UNICEF's Office of Innovation in New York recently joined DSTI in Sierra Leone to collaborate on a Machine Learning "Hackathon" to work on data from the education sector in support of the Government's Free Quality School Education initiative. Officials from different Government Ministries, Departments and Agencies joined the team to enhance their knowledge of Machine Learning and advanced data analysis techniques, for use in their own areas of government. Shane O'Connor, Technology for Development Specialist at UNICEF Sierra Leone, stated that the opportunity afforded by this collaboration is huge. "With the President's establishment of the DSTI and with UNICEF's collaboration, there really is great potential for a step change in how Technology and Innovation can be leveraged to deliver for Sierra Leone," he said.