Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Abstract: Wireless Sensor Networks (WSNs) are widely used in a variety of applications, but energy efficiency is still a major concern. Accurate energy prediction can dramatically improve network ...
IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...
Abstract: This paper proposes a novel global modeling framework based on a Mixture of Experts (MoE) architecture to address the challenge that conventional compact global models face in capturing the ...
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
Artificial intelligence (AI) and computational modeling are transforming the landscape of neuroscience, offering unprecedented opportunities to detect, ...
The course begins in January 2026, and students interested in learning about image recognition, speech recognition, and ...
The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...
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