Researchers in Australia have achieved a world record internet speed of 44.2 terabits per second, allowing users to download 1,000 HD movies in a single second.
A team from Monash, Swinburne and RMIT universities used a “micro-comb” optical chip containing hundreds of infrared lasers to transfer data across existing communications infrastructure in Melbourne.
Over the last few years, creating fake videos that swap the face of one person onto another using artificial intelligence and machine learning has become a bit of a hobby for a number of enthusiasts online, with the results of these “deepfakes” getting better and better. Today, a new one applies that tech to Star Trek.
Eight years ago a machine learning algorithm learned to identify a cat —and it stunned the world. A few years later AI could accurately translate languages and take down world champion Go players. Now, machine learning has begun to excel at complex multiplayer video games like Starcraft and Dota 2 and subtle games like poker. AI, it would appear, is improving fast.
But how fast is fast, and what’s driving the pace? While better computer chips are key, AI research organization OpenAI thinks we should measure the pace of improvement of the actual machine learning algorithms too.
In a blog post and paper —authored by OpenAI’s Danny Hernandez and Tom Brown and published on the arXiv, an open repository for pre-print (or not-yet-peer-reviewed) studies—the researchers say they’ve begun tracking a new measure for machine learning efficiency (that is, doing more with less). Using this measure, they show AI has been getting more efficient at a wicked pace.
A new University of Wisconsin Oshkosh analysis of raptor teeth published in the peer-reviewed journal Palaeogeography, Palaeoclimatology, Palaeoecology shows that Velociraptors and their kin likely did not hunt in big, coordinated packs like dogs.
The raptors (Deinonychus antirrhopus) with their sickle-shaped talons were made famous in the 1993 blockbuster movie Jurassic Park, which portrayed them as highly intelligent, apex predators that worked in groups to hunt large prey.
“Raptorial dinosaurs often are shown as hunting in packs similar to wolves,” said Joseph Frederickson, a vertebrate paleontologist and director of the Weis Earth Science Museum on the UWO Fox Cities campus. “The evidence for this behavior, however, is not altogether convincing. Since we can’t watch these dinosaurs hunt in person, we must use indirect methods to determine their behavior in life.”
CAPE CANAVERAL, Fla. (AP) — NASA is rolling out the International Space Station’s red carpet for Tom Cruise to make a movie in orbit.
The space agency’s administrator, Jim Bridenstine, said before Wednesday’s planned launch of two NASA astronauts aboard a SpaceX rocket that Elon Musk’s company is already getting customers eager to blast off.
http://www.ted.com Strapped to a jet-powered wing, Yves Rossy is the Jetman — flying free, his body as the rudder, above the Swiss Alps and the Grand Canyon. After a powerful short film shows how it works, Rossy takes the TEDGlobal stage to share the experience and thrill of flying.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the “Sixth Sense” wearable tech, and “Lost” producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate.
Nvidia researchers created an AI system that can synthesize video games simply by watching videos of other games, as well as actions taken in those games.
Ever wondered what AI could be used for in games? We sure have. A lot. There are hundreds, if not thousands, of possible use cases for machine learning and artificial intelligence in game development. Yet despite letting our imaginations run wild, we are still blown away by what a team of researchers from Nvidia have achieved today: a functioning AI that can replicate Pac-Man with nothing more than pixels and key presses.
The generative adversarial network (GAN) outlined in the research paper, nicknamed GameGAN, is capable of taking pixel and input data from a videogame and recreating a like-for-like carbon copy. It does so without an underlying engine—the AI actually generates a new frame for every on-screen event based on those before it, player action, and a hint of environmental randomness.
Sony is bringing machine intelligence to its image sensors. The electronics and entertainment giant announced this week a sensor that applies artificial intelligence while processing imagery without the need for extrema hardware or assistance.
Players in the photography industry have been focusing on increasingly greater numbers of pixels for ever-sharper enlargement and reproduction capabilities and on increasingly compressed devices for lighter weight and greater portability.
