New Theory Cracks Open the Black Box of Deep Neural Networks A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms—and ...

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 ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

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 ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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 ...

In a nutshell, string theory is a sprawling realm of theoretical physics that assumes that tiny vibrating strings are the ...