A new study debunks a popular, two-decade-old theory about the shape of networks.
MIT's new mini cheetah robot is springy and light on its feet, with a range of motion that rivals a champion gymnast. The four-legged powerpack can bend and swing its legs wide, enabling it to walk either right-side up or upside down. The robot can also trot over uneven terrain about twice as fast as an average person's walking speed.
How good is the research on the success or failure of the system that verifies your identity when you log into a computer, smartphone or other device? Chances are it's not good, and that's a major security and privacy issue that should be fixed, according to a Rutgers University-New Brunswick study that proposes a novel solution.
Leading quantum technology experts from around the world have explored their respective regional and national goals for the future of the field, in a new focus issue of Quantum Science and Technology. The first five articles in the collection, covering Australia, Japan, the United States, Canada and the European Union, are published today. They are written by the leading researchers involved in each country or region's initiative.
Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, a dynamics similar to neurons in the living brain.
A novel system developed at MIT uses RFID tags to help robots home in on moving objects with unprecedented speed and accuracy. The system could enable greater collaboration and precision by robots working on packaging and assembly, and by swarms of drones carrying out search-and-rescue missions.
Autonomous vehicles relying on light-based image sensors often struggle to see through blinding conditions, such as fog. But MIT researchers have developed a sub-terahertz-radiation receiving system that could help steer driverless cars when traditional methods fail.
The Zwicky Transient Facility, based at the Palomar Observatory, has identified over a thousand new objects and phenomena in the night sky, including more than 1,100 new supernovae and 50 near-Earth asteroids. University of Washington scientists are part of the ZTF team and led the development of the collaboration's alert system, which informs science teams of possible new objects or changes to known objects in the sky.
Investment in research is at an all-time high, yet the rate of scientific breakthroughs isn't setting any records. To resolve this quandary, scientists are turning to artificial intelligence and crowdsourcing for help in identifying a key inspiration for innovation -- the perfect analogy.
A team of researchers including Dr. James Schaffer, scientist for RDECOM's Army Research Laboratory, the Army's corporate research laboratory (ARL) stationed at ARL West in Playa Vista, California, recently discovered that most people overlook artificial intelligence despite flawless advice. AI-like systems will be an integral part of the Army's strategy over the next five years, so system designers will need to start getting a bit more creative in order to appeal to users.