I guess the anti satellite missiles and lasers are a real threat now.
The Air Force is desperate to replace larger satellites that are vulnerable to attack, and fast.
US military leaders are bullish about small satellites as tools to spy on adversaries and provide secure communications, but there’s just one problem: There isn’t a good way to get them into space, on demand.
The materials innovation startup known for its synthetic spider sillk is rolling out a second bio-material, a leather made from mycelium that can be grown in a small space with a much lower environmental impact than raising cattle.
Robots are going to make life a lot easier for amputees and people with spinal cord injuries. Take HAL from CYBERDYNE for instance: it is robotic assistive limb that improves patients’ ability to walk. HAL uses sensors to detect signals from the patient’s body to assist with desired movement.
Humans are usually good at isolating a single voice in a crowd, but computers? Not so much — just ask anyone trying to talk to a smart speaker at a house party. Google may have a surprisingly straightforward solution, however. Its researchers have developed a deep learning system that can pick out specific voices by looking at people’s faces when they’re speaking. The team trained its neural network model to recognize individual people speaking by themselves, and then created virtual “parties” (complete with background noise) to teach the AI how to isolate multiple voices into distinct audio tracks.
The results, as you can see below, are uncanny. Even when people are clearly trying to compete with each other (such as comedians Jon Dore and Rory Scovel in the Team Coco clip above), the AI can generate a clean audio track for one person just by focusing on their face. That’s true even if the person partially obscures their face with hand gestures or a microphone.