Astronomers have long relied on supercomputers to simulate the immense structure of the Universe, but a new tool called ...

The idea of creating computer programs that can mimic the brain — wasn't always accepted. But it fascinated Geoffrey Hinton.

The Black in Neuro conference was both a victory lap marking the organization’s growth and a sober assessment of the ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...

Advances in novel hardware devices and architectures allow Spiking Neural Network (SNN) evaluation using ultra-low power, mixed-signal, memristor crossbar arrays. As individual network sizes quickly ...

Introduction: Sea surface salinity (SSS) is a critical parameter for understanding ocean circulation, marine ecosystem processes, and climate change. Despite advancements in satellite-based radiometry ...

Abstract: The trust-region method and projection neural networks are two branches of optimization approaches with different operational principles and characteristics. In this article, a trust-region ...

Abstract: DC-DC converters are extensively deployed across a range of new energy applications. However, traditional control methods that rely on accurate state space models encounter limitations in dc ...

I am an Assistant Professor of Computer Science at RIT. I direct the Neural Adaptive Computing (NAC) Laboratory where we work on developing new learning procedures and computational architectures that ...