This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
8don MSN
Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Researchers have engineered a next-generation glutamate sensor, iGluSnFR4, capable of detecting the faintest incoming ...
Recently, addressing the inherent timescale mismatch challenge between fast and slow responses in optoelectronic sensors, a collaborative team from Suzhou Institute of Nano-Tech and Nano-Bionics ...
Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.
About ten years ago, scientists began exploring an unconventional idea for studying the brain: using bioluminescent light to ...
Here, we look back at our 2025 coverage, which was very popular. Qualcomm’s Acquisition of Arduino Creates a New Vibe—AI and ...
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