[carykh] has a really interesting video series which can give a beginner or a pro a great insight into how neural networks operate and at the same time how evolution works. You may remember his work ...

Like a brain, a deep neural network has layers of neurons—artificial ones that are figments of computer memory. When a neuron fires, it sends signals to connected neurons in the layer above. During ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

RUDN University mathematician proposed an artificial neural network for solving the queuing theory problems that arise, for example, in computing systems or business processes. Together with classical ...

We present a special issue focusing on recent advances in computation- and theory-driven approaches to neuroscience that inform a host of biophysical and mechanistic models. Profound insights into ...

Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.

A new accelerator chip called 'Hiddenite' that can achieve state-of-the-art accuracy in the calculation of sparse 'hidden neural networks' with lower computational burdens has now been developed. By ...

How useful a memory is for future situations determines where it resides in the brain, according to a new theory proposed by researchers at HHMI"s Janelia Research Campus and collaborators at UCL. The ...

Researchers at the University of Illinois Urbana-Champaign have developed a new theoretical framework that could dramatically ...