Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in the world. This ability, known as "relational learning," is widely regarded ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

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 ...

Caltech researchers have developed an innovative algorithm that allows neural networks to be updated with new information without losing previously acquired knowledge, mimicking the flexibility of ...

(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...

Biological neural networks as a research area focus on the structure, dynamics, and computation of networks of real neurons in living organisms, integrating cellular neurophysiology, synaptic ...

Artificial neural networks (ANNs) have brought about many stunning tools in the past decade, including the Nobel-Prize-winning AlphaFold model for protein-structure prediction [1]. However, this ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

Target AI investments with full value chain mapping, commercial readiness ratings, M&A analysis, scenario planning and strategic recommendations.Dublin, Oct. 26, 2026 (GLOBE NEWSWIRE) -- "The Global ...