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Using geometry and physics to explain feature learning in deep neural networks
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
Doctors Use Large Neuro Model To Decode Brain Activity
A new AI foundation model transforms neurological diagnostics by using data from electrical brain activity to analyze neural ...
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Neural Network python from scratch | MultiClass Classification with Softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Vision model brings almost unsupervised crop segmentation to the field
By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...
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How engineers are optimising Edge AI with NPUs and model compression
As AI models move from design to production, engineers face a challenge: delivering real-time performance with limited ...
Thinking Differently about the Neural Intelligence: The Work of Swaminathan Sethuraman in Bridging Adaptive AI and Neural Network Innovation
Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...