EMJ spoke with Lukas Rasulic to explore the latest advances in peripheral nerve repair, the integration of functional ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like cognition.

Long-term musical training may mitigate the age-related decline in speech perception by enhancing cognitive reserve, ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...

Neural nets get a whole lot more complicated than this, but this is the essential structure: different places within a network are represented by nodes (circles) and connections between them ...

A Florida Atlantic University study shows that astrocytes, glial cells long viewed as passive, actively influence brain ...

As the network appears to be trained on specific games with specific functions, no argument is made for how this would translate to creating entirely new games.

Neural networks, from GPT-4 to Stable Diffusion, are built by wiring together perceptrons, which are highly simplified simulations of the neurons in our brains.