Phantom Neuro announced that it opened its patient registry to connect individuals to upcoming clinical studies and research ...
FDA approves first human trial for Paradromics' brain-computer interface that could restore speech for paralyzed patients ...
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 ...
Tech Xplore on MSN
A brain-like chip interprets neural network connectivity in real time
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...
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 ...
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 ...
AUSTIN, Texas, April 15, 2025 /PRNewswire/ -- Phantom Neuro, the neurotech company advancing human-machine interfaces, today announced an oversubscribed $19 million Series A funding round led by ...
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, ...
Blusher Me on MSN
Paralyzed Man Operates iPad With His Mind Thanks to Groundbreaking Bluetooth Brain Implant
A paralyzed man has become the first person to operate an iPad using only his thoughts. The breakthrough arrived through a ...
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 ...
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