Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

An improved model identifies power-reducing dust accumulation on photovoltaic modules, helping engineers know when the ...

As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Within human neuroscience, recent advances have transformed our perspective on depression and anxiety, reframing them as conditions of network-level ...

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Cloud networking company Cato Networks Ltd. today unveiled two major innovations for the Cato SASE Platform that are designed to secure enterprise artificial intelligence adoption at scale: Cato ...