'An unclassified 2016 Department of Defense (DoD) document, the Human Systems Roadmap Review, reveals that the US military plans to create artificially intelligent (AI) autonomous weapon systems, which will use predictive social media analytics to make decisions on lethal force with minimal human involvement. Despite official insistence that humans will retain a "meaningful" degree of control over autonomous weapon systems, this and other Pentagon documents dated from 2015 to 2016 confirm that US military planners are already developing technologies designed to enable swarms of "self-aware" interconnected robots to design and execute kill operations against robot-selected targets.' Read more: 'Pentagon is building a'self-aware' killer robot army fueled by social media' – as predicted in my books for years

With much of what Google announced during the first day of its I/O developer conference focused on helping users answer questions before they even think of them, artificial intelligence is proving critical for the company's strategy. "Google is betting the farm on artificial intelligence (A.I.) and they need to because Microsoft and Facebook aren't too far behind," said Patrick Moorhead, an analyst with Moor Insights & Strategy. "A.I. will determine the next-generation experience with all electronics. It essentially predicts what users want before they know they do. A.I. is the next big frontier, and Google has always been a pioneer in A.I." During the keynote speech on Wednesday, the company unveiled several upcoming products, including its Google Assistant, Google Home device, the Allo chat app and the Duo video chat app.

Rutgers is taking a leading role in an IBM-sponsored World Community Grid project that will use supercomputing power to identify potential drug candidates to cure the Zika virus. The project, known as OpenZika, employs a global team of scientists who will perform "virtual" experiments in a search of treatments for the fast-spreading virus that the World Health Organization has declared a global public health emergency. OpenZika will screen current drugs and millions of drug-like compounds from existing databases against models of Zika protein structures (and also against structures of proteins from related viruses, including West Nile Virus and Dengue). These computational results will be shared quickly with the research community and general public, with compounds showing the most promise then tested in laboratory settings. "Instead of having to wait a number of years, even decades potentially, to test all these compounds in order to find a few that could form the basis of antiviral drugs to cure Zika, we will perform these initial tests in a matter of months, just by using idle computing power that would otherwise go to waste," says Alex Perryman, a research teaching specialist at Rutgers' New Jersey Medical School, in Professor Joel Freundlich's lab.

TOKYO (Reuters) – Japan's Sony Corp said it plans to build up its artificial intelligence business and eventually turn it into a major revenue source, beginning with an investment in a U.S. startup. The electronics maker has invested an undisclosed sum in California-based Cogitai. The year-old firm, founded by three researchers, focuses on technology that allows machines to learn continually and autonomously from interaction in the real world. The move comes a time when major technology companies such as Facebook Inc, Apple Inc and Alphabet Inc's Google are spending aggressively on AI ventures. "From an objective perspective, we are lagging behind," Chief Executive Hiroaki Kitano at Sony Computer Science Laboratories said in an interview. "But there are still unexplored areas – some in cyberspace but vastly more in the physical world," Kitano said.

Google I/O is the biggest date in the firm's calendar: it's the conference where it gets everyone together in one big room (actually, this year it was a tent) in California to reveal all the cool stuff it has been working on. This year was more focused than most. It's the first I/O since the company restructured itself into Alphabet, hiving off the wilder projects such as Google Glass, self-driving cars and life-extension research into other subsidiaries. Gone are the days of livestreaming a parachute jumper wearing Google Glass from the I/O stage. But that doesn't mean the company wasn't trying to impress with more down-to-earth revelations.

As part of an onslaught of upcoming products, Google will implant a more personable form of artificial intelligence into an Internet-connected device called Home, which echoes the Echo, Amazon.com's Meanwhile, Google will also delve deeper into the still-nascent realm of virtual reality with a system called Daydream that's meant to challenge Facebook-owned Oculus' early lead in fabricating artificial worlds. In an attempt to outshine Apple, Google is also adding features to its Android operating system, including the ability to run apps without actually installing them on a device. That feature, called Instant Apps, might have been the biggest breakthrough that Google announced Wednesday at its annual developers conference held in an amphitheater a few blocks from its Mountain View, California, headquarters. It is the first time that Google has held the conference in its hometown since the inaugural event in 2006.

Google prides itself on the safety record of its groundbreaking self-driving cars but as an extra precaution the company is working on a "sticky" hood that will prevent pedestrians from bouncing off the cars if hit. Having driven over 1.5 million miles since beginning testing in 2014, Google's self-driving cars reported their first accident only last month when the search giant admitted it was at least partly responsible for an accident, which saw one of its fleet of Lexus SUVs collide with a public bus. Previously, all crashes reported involving one of Google's fleet had been blamed on driver error. Google is keen to continue leading the way in the area of autonomous cars amid competition from traditional carmakers as well as companies like Faraday Future, Tesla and reportedly Apple. To that end, Google wants to help protect those pedestrians who may wander in front of one of its cars -- by making them "stick" to the hood.

In case you needed more proof that all our jobs will one day be occupied by robots, a Hong Kong V.C. firm has just named an artificial intelligence tool to its board of directors. The company's also insisting the tool will be treated as an "equal" to the other board members. A press release from Aging Analytics UK, a company that conducts research on biotechnology and regenerative medicine, made two announcements this morning: first, that they've launched an new A.I. tool called VITAL (Validating Investment Tool for Advancing Life Sciences); and second, that they've licensed VITAL to Hong Kong V.C. firm Deep Knowledge Ventures, where the tool will become an "equal member of its Board of Directors." Yes, that means it'll have exactly the same power as a living, breathing, presumably college-educated human being. VITAL uses machine learning to predict which life science companies will make for successful investments, the press release explains.

Software as a service platform Jodone's latest design makes sorting recyclables from trash faster, more efficient and ultimately, more profitable. Made for use with industry standard robots from multiple suppliers, the interface turns the acts of recognizing and categorizing recyclables into a game. As waste travels along a conveyer belt, workers swipe a touch screen to classify items as recyclable. The instructions are sent wirelessly to robotic arms that then pick and sort the appropriate pieces. In the laboratory, the collaborative process achieved a recycling rate eight times higher than humans alone and with a 95 percent accuracy rate.

Machine learning, which helps computers do things like understand complex voice commands and improve image search capabilities, can be taxing on traditional hardware. Google should know – over 100 of its products and features use this technology to run and improve themselves constantly. The company has revealed that over the past few years, it quietly developed its own custom processor for such tasks. The Tensor Processing Unit (TPU) is built expressly for running TensorFlow, Google's in-house machine learning system that it open-sourced last year. Our biggest ever edition of TNW Conference is fast approaching!