Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
The Tomorrow’s Quants series explores the skills needed by new quant recruits, drawing on a survey of 39 employers, and six ...
Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...
Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...
Abstract: Modern networks are becoming more and more complex and scaled to make sure that that it can provide smart, real-time traffic management for best performance, reliability, and scale. In ...
Abstract: A physics-aware simulation platform is proposed for optical neural networks (ONNs), incorporating phase-only modulation and passive free-space propagation. The platform enables end-to-end ...
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