Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...

Neuroscientist M. Catalina “Cat” Camacho spends a lot of time playing with kids. They’re not her children, but participants in her research, which looks at how young brains learn to process emotions ...

In May 2020, Pratyusha Sharma was painstakingly parsing data to prepare for a meeting with her research group at the Massachusetts Institute of Technology, hoping to find a pattern. It wasn’t just any ...

Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...

A new brain-computer interface can decode a person's inner speech, which could help people with paralysis communicate. When you purchase through links on our site, we may earn an affiliate commission.

Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

IF YOU WANTED to read an ancient Roman scroll, you might reach for a dictionary, and perhaps a magnifying glass. You would probably not think of using a particle accelerator. But that is what is ...

With AV1 hardware decode on mo­bile devices stuck in the mid-to-low teens as of 2025, and with VVC at zero, it’s clear that the race to supplant H.264 and HEVC will be contested with software-only ...