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Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
Learn With Jay on MSNOpinion

Momentum optimizer explained for faster deep learning training

In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...

IIT Madras Pravartak Opens Admissions For Applied AI And Deep Learning Course

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

IITM Pravartak launches second cohort of Applied Artificial Intelligence & Deep Learning programme to accelerate industry adoption

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...

Physics of foam strangely resembles AI training

Foams are everywhere: soap suds, shaving cream, whipped toppings and food emulsions like mayonnaise. For decades, scientists ...
Security Boulevard

NDSS 2025 – DLBox: New Model Training Framework For Protecting Training Data

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...