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 ...
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
This article is published by AllBusiness.com, a partner of TIME. What is "Deep Learning"? Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It ...
New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...
[Andrej Karpathy] recently released llm.c, a project that focuses on LLM training in pure C, once again showing that working with these tools isn’t necessarily reliant on sprawling development ...
In a recent preprint* uploaded to the bioRxiv server, researchers developed and trained a foundational model to predict tissue-specific RNA expression, splicing, RNA binding protein specificity, and ...
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
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