With millions of views published online every day, it can be difficult for Google to rank information correctly within its search engine. Speaking this week, Eric Schmidt, Chairman of Google's parent firm, Alphabet, explained that it is'very difficult' for the search algorithm to weed out the truth in a sea of opposing articles. Thankfully, Schmidt believes the problem should be easy to address by tweaking the algorithm. Speaking this week, Eric Schmidt, Chairman of Google's parent firm, Alphabet, explained that it is'very difficult' for the search algorithm to weed out the truth in a sea of opposing articles Inaccurate results are often down to "Google bombing" used by groups to be ranked highly. These include linking to a fake news site from several other sources and hiding text on a page that is invisible to humans but visible to the search engine's algorithms.

Drones controlled by humans may soon give in to ones flown completely using artificial intelligence, a new experiment by the NASA Jet Propulsion Laboratory (JPL) has demonstrated. In the demonstration, NASA researchers pitted a human-controlled drone against one controlled by AI. The findings were published on NASA's website and a video of the race was uploaded on its YouTube website Tuesday. "We pitted our algorithms against a human, who flies a lot more by feel. You can actually see that the A.I. flies the drone smoothly around the course, whereas human pilots tend to accelerate aggressively, so their path is jerkier," Rob Reid, the project's task manager, said in a press release.

The immigrant entrepreneur's road to Silicon Valley is paved with visas. And every one tells a tale. In the case of Purva Gupta, who is now the 29-year-old founder of Lily, a Palo Alto-based startup that's building an AI-driven fashion app, the precious US government documents weave a kind of personal epic. In the short three years she has been in the United States, Gupta has had six separate visas, each marking a different phase of her startup quest. Gupta's first visa came in 2013, when she moved to the US with her husband, who was getting an MBA at Yale.

The S&P 500 is up 21% since Election Day. Henry Kaufman, 90, the renowned economist, former managing director at Wall Street firm Salomon Brothers and author of Tectonic Shifts In Financial Markets, shared his views with USA TODAY on the future of the American worker, tax cuts and the middle class, the retirement savings crisis and the risks facing computer-driven markets. Kaufman is president of Henry Kaufman & Company, an economic and financial consulting firm established in 1988. USA TODAY: Robots are invading the workplace. Is technology a threat to middle-class workers? KAUFMAN: The greatest challenge that workers face and we as a society face is that labor over a longer period of time will become more and more obsolete.

An international team of scientists including Kieron Burke, UCI professor of chemistry, has created a machine-learning algorithm that predicts molecular behavior. The breakthrough may aid in the development of pharmaceuticals and materials to enhance the performance of batteries, solar cells and digital displays. In a study published in Nature Communications, the researchers describe how their algorithm gathers knowledge about atomic interactions in a molecule and then uses that information to anticipate new actions. Complex atomic interactions are prescribed by quantum mechanical calculations. The research team, which also included scientists from New York University and the Technical University of Berlin, found a way to simulate chemical behavior within a molecule without having to perform quantum-level number crunching.

Earlier this month a self-driving shuttle in Las Vegas patiently waited as a delivery truck backed up, then backed up some more, then backed right into it. Inconveniently for the roboshuttle's developer Navya, this happened within hours of the shuttle's inauguration ceremony. The real problem is that the shuttle can't learn from the incident the way a human would: immediately and without forgetting how to do everything else in the process. The U.S. Defense Advanced Research Projects Agency (DARPA) is looking to change the way AI works through a program it calls L2M, or Lifelong Learning Machines. The agency is looking for systems that learn continuously, adapt to new tasks, and know what to learn and when.

In its race to embrace driverless vehicles, Washington has cleared away regulatory hurdles for auto companies and brushed aside consumer warnings about the risk of crashes and hacking. But at a recent hearing, lawmakers absorbed an economic argument that illustrated how the driverless revolution they are encouraging could backfire politically, particularly in Trump country. It was the tale of a successful, long-distance beer run. A robotic truck coasted driverless 120 miles down Interstate 25 in Colorado on its way to deliver 51,744 cans of Budweiser. Not everyone at the hearing was impressed by the milestone, particularly the secretary-treasurer of the Teamsters, whose nearly 600,000 unionized drivers played no small roll in President Trump's victory last year.

Intelligence agencies have a limited number of trained human analysts looking for undeclared nuclear facilities, or secret military sites, hidden among terabytes of satellite images. But the same sort of deep learning artificial intelligence that enables Google and Facebook to automatically filter images of human faces and cats could also prove invaluable in the world of spy versus spy. An early example: US researchers have trained deep learning algorithms to identify Chinese surface-to-air missile sites--hundreds of times faster than their human counterparts. The deep learning algorithms proved capable of helping people with no prior imagery analysis experience find surface-to-air missile sites scattered across nearly 90,000 square kilometers of southeastern China. Such AI based on neural networks--layers of artificial neuron capable of filtering and learning from huge amounts of data--matched the overall 90 percent accuracy of expert human imagery analysts in locating the missile sites.

This Tuesday, we're testing concrete speakers, blissful Dreamcast games reimagined in VR, and a robot that will copy your moves. The FCC's plan to undo net neutrality is about to be revealed According to reports, Ajit Pai will unveil the details of his plan to roll back Title II net neutrality protections later today. Timed during a short holiday week, the plan is expected to follow what we heard in April -- with rules preventing ISPs from blocking, slowing down or charging extra for different kinds of content removed, and responsibility for managing disputes pushed to the FTC. Concrete speakers are heavy on the wallet. Master & Dynamic's concrete speaker is equal parts sound and spectacle If you're a fan of well-designed headphones that have a unique aesthetic, Master & Dynamic should be at the top of your list.

Spy agencies are to use computer algorithms to keep tabs on 20,000 former terror suspects because they don't have the manpower to physically watch all of them at once. MI5 and MI6 will use the complex system to sift through massive amounts of data to alert intelligence agents to worrying behaviour, under potential plans. A review is expected to recommend security agencies widen their searches when examining the online footprint and movement of these former jihadis. Britain's counter-terrorism officials currently actively monitor around 3,000 people. But following a wave of terror attacks in the UK, the Government admitted there were as many as 20,000 former subjects of interest no longer classed as posing serious danger.