Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
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Lancelot federated learning system combines encryption and robust aggregation to resist poisoning attacks
Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively train a model, without sharing raw training data with each other. This "shared ...
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In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...
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Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.
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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
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