A brain implant helps paralyzed patients type on a computer by decoding attempted finger movements. The device enables rapid, ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

An environmental reporter joins a research team trying to attach recording devices to sperm whales, in hopes of decoding their calls.

Two people with paralysis were able to type strokes on a virtual keyboard using an implant that decodes attempted finger ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

BrainGate researchers develop an investigational brain-computer interface that allows paralyzed patients to type at 22 words per minute using attempted finger movements.

Motor imagery or imagined limb movements can power brain–computer interface (BCI) devices, such as prostheses and wheelchairs, supporting rehabilitation for people with neuromusculoskeletal disorders.

A brain-computer interface allowed two people who had lost the ability to move their limbs to type at speeds of up to 22 words per minute ...

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

By working with partners like NVIDIA, we are accelerating the large-scale simulations needed to design and refine ...