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 ...

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

Membrane computing is a paradigm of natural computing that takes its inspiration from the structure and functioning of biological cells. It employs compartmentalised models, akin to cellular membranes ...

The human brain begins learning through spontaneous random activities even before it receives sensory information from the external world. The technology developed by the KAIST research team enables ...

BioLLM is part of the newest wave of bio-computing, exploring the interactions between living neural cultures and digital ...

This emerging category, often described as wetware computing, treats biology as an active component of digital architectures ...

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity. (Nanowerk News) The rapid growth of ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...