Despite Sam Altman’s claims that we’ve crossed the AI “event horizon,” the reality is that today’s models remain far behind ...

An artificial neural network (ANN), generally known as a "neural network" (NN), is a mathematical model based on biological neural networks. The neural network consists of layers that contain ...

Emulating complex neuronal functionalities in human brains using emerging biomimetic electronics is critical for next-generation brain-like chips and artificial general intelligence. Burst firing, ...

Maximizing the information per the expected unit energy cost in biological neurons is vital in understanding the functionality of our nervous system and improving the bio-inspired nano-networks. Hence ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

“People find the car study infinitely relatable,” Piff says now of this research, the results of which were published in the ...

New study reveals ChatGPT and other artificial intelligence systems share more similarities with humans than previously ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

An installation designed to visualise inner emotional states through light and colour is among the Zurich University of the ...

Your body is an amazing biological machine and it s electric. Every heartbeat, thought, and movement depends on tiny ...

The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal ...