When you never need to say a word because your AI reads your mind. Who knows; maybe we’ll end up with a new population of introverts and anti-socialists for researchers to study.
Scientists at the University of Rochester have developed a computer model that can predict sentences by looking for brain activity patterns that are associated with different words.
The Elon Musk-backed OpenAI project became Nvidia’s first ever customer to buy a DGX-1 “AI supercomputer in a box.” The system can deliver up to 170 teraflops of performance, which should enable the OpenAI team to significantly improve their AI research.
Think of a traditional robot and you probably imagine something made from metal and plastic. Such “nuts-and-bolts” robots are made of hard materials. As robots take on more roles beyond the lab, such rigid systems can present safety risks to the people they interact with. For example, if an industrial robot swings into a person, there is the risk of bruises or bone damage.
Researchers are increasingly looking for solutions to make robots softer or more compliant – less like rigid machines, more like animals. With traditional actuators – such as motors – this can mean using air muscles or adding springs in parallel with motors. For example, on a Whegs robot, having a spring between a motor and the wheel leg (Wheg) means that if the robot runs into something (like a person), the spring absorbs some of the energy so the person isn’t hurt. The bumper on a Roomba vacuuming robot is another example; it’s spring-loaded so the Roomba doesn’t damage the things it bumps into.
But there’s a growing area of research that’s taking a different approach. By combining robotics with tissue engineering, we’re starting to build robots powered by living muscle tissue or cells. These devices can be stimulated electrically or with light to make the cells contract to bend their skeletons, causing the robot to swim or crawl. The resulting biobots can move around and are soft like animals. They’re safer around people and typically less harmful to the environment they work in than a traditional robot might be. And since, like animals, they need nutrients to power their muscles, not batteries, biohybrid robots tend to be lighter too.
“Driving cars on the road might be the best way to create maps for tomorrow’s autonomous ones.”
Meet the future of public transportation: self-driving modules.
Uber is revving up to add driverless cars to its fleet this month.
If a self-flying taxi scheme didn’t come from the world’s second largest aeronautical company, we might think it was a prank. However, Airbus appears to be serious about its “Vahana” project, aimed at creating an autonomous passenger drone network, and thinks testing can begin as early as 2017. That sounds ambitious, to say the least, but “many of the technologies needed, such as batteries, motors and avionics are most the way there,” according to Airbus engineer Rodin Lyasoff.
Users arriving at, say, an airport would book a seat on a so-called zenHop “CityAirbus” drone, then proceed to a “zenHub” helipad, according to the concept. They’d be flown to their destination for about the same cost as a taxi, since the ride would be shared by several passengers. Luggage would be delivered by another service (zenLuggage, of course), and the whole thing would be safeguarded from hackers by (wait for it) zenCyber.
The method would assist governments and charities trying to fight poverty but lacking precise and reliable information on where poor people are living and what they need, the researchers based at Stanford University in California said.
Eradicating extreme poverty, measured as people living on less than $1.25 U.S. a day, by 2030 is among the sustainable development goals adopted by United Nations member states last year.