Collaborate Disseminate
Voice recognition is becoming more and more common, but anyone who’s ever used a smart device can attest that they aren’t exactly fool-proof. They can activate seemingly at random, don’t …read more Continue reading Voice Without Sound
Lightning is one of the more mysterious and fascinating phenomenon on the planet. Extremely powerful, but each strike on average only has enough energy to power an incandescent bulb for …read more Continue reading Computer Vision Extracts Lightning From Footage
There’s a problem with photographic police lineups – they typically only include front-on photos of suspects, which may not match the angle at which a witness saw the criminal. A new system, in which witnesses can rotate the images, has been shown to b… Continue reading Novel system uses rotatable faces to more accurately ID criminals
We’ve seen it in movies many times before … the reluctant witness who looks right at the mug shot of the murderer, and falsely claims that they don’t know him. Soon, however, police could know if such people are lying – by watching the… Continue reading Lying eyes may reveal criminal ties
Sometimes great projects keep evolving. [Bithead942] built himself an R2-D2 to accompany him when he goes a-trooping — but something didn’t feel quite right. Turns out, R2 was missing its signature beeping banter, so he made it more contextually responsive by implementing a few voice commands.
[Bithead942]’s main costume is that of an X-Wing pilot, and the replica helmet works perfectly; it already has a fake microphone — easily replaced with a working model — and the perfect niche to stash the electronics in the ‘mohawk.’
Even though the helmet has the perfect hiding spot for a circuit, space is …read more
So far, humans have had the edge in the ability to identify objects by touch. but not for long. Using Google’s Project Soli, a miniature radar that detects the subtlest of gesture inputs, the [St. Andrews Computer Human Interaction group (SACHI)] at the University of St. Andrews have developed a new platform, named RadarCat, that uses the chip to identify materials, as if by touch.
Realizing that different materials return unique radar signals to the chip, the [SACHI] team combined it with their recognition software and machine learning processes that enables RadarCat to identify a range of materials with accuracy …read more
By matching news photos with artworks, an AI shows how it thinks. Continue reading This AI Sees Things in Art That Humans Don’t
