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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 ...
News Medical on MSN3d

Deep learning model predicts adverse drug reactions from chemical structure

Adverse drug reactions (ADRs) are a significant cause of hospital admissions and treatment discontinuation worldwide.

Deep learning model predicts microsatellite instability in tumors and flags uncertain cases

One in every three people is expected to have cancer in their lifetime, making it a major health concern for mankind. A crucial indicator of the outcome of cancer is its tumor microsatellite ...
Learn With Jay on MSN4dOpinion

Regularization In Deep Learning — The Real Cure For Overfitting

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Predicting mountain accident risks with deep learning and pre-climb data

Japan is famous for its beautiful mountain landscapes as well as for the challenges it offers to avid mountaineers. However, ...

Ensuring drug safety using AI models for adverse drug reaction prediction

Adverse drug reactions (ADRs) are a significant cause of hospital admissions and treatment discontinuation worldwide.
News Medical on MSN9d

Deep learning-based model enables fast and accurate stroke risk prediction

In this study, an automated method for lumen, vessel wall, and plaque segmentation for quantitative assessment based on MR ...
Devdiscourse5d

Deep learning disrupts weather forecasting, with accuracy that could save millions

Read more about Deep learning disrupts weather forecasting, with accuracy that could save millions on Devdiscourse ...
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Pioneering AI approach enhances prediction of complex astrochemical reactions

Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space.