Phantom Neuro announced that it opened its patient registry to connect individuals to upcoming clinical studies and research ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...

For the first time, an electrical communication has just been established between a living nerve cell and its artificial equivalent. In the laboratories of the University of Massachusetts, ...

This development is part of Wearable Devices’ ongoing research and development efforts, aimed at harnessing neuromuscular-signals-based technology to support new advanced capabilities across multiple ...

Granted Patent Covers Neural Measurement of Weight, Torque and Force with Broad Applications in Brain-Computer Interfaces, Industry 4.0 and Extended Reality This newly granted patent protects Wearable ...

Directions in the development of intracortical neural interface technology. Mux: multiplexer; Amp: amplifier; ADC: analog-to-digital converter; DBS: deep brain stimulation. A recent study published in ...

YOKNEAM ILLIT, ISRAEL, Oct. 15, 2024 (GLOBE NEWSWIRE) -- Wearable Devices Ltd. (the “Company” or “Wearable Devices”) (Nasdaq: WLDS, WLDSW), a technology ...

Yokneam Illit, Israel, Aug. 06, 2025 (GLOBE NEWSWIRE) -- Wearable Devices Ltd. (WLDS) (the “Company” or “Wearable Devices”) (Nasdaq: WLDS, WLDSW), a ...

Apple is getting into the brain-computer interface (BCI) business, reveals a press release from New York-based startup Synchron. The idea is to enable people with limited mobility to use iPhones, ...

Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) (the “Company” or “Wearable Devices”), a technology growth company specializing in artificial intelligence (“AI”)-powered touchless sensing wearables, today ...

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...