Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly ...
Tech Xplore on MSN
AI learns to follow predefined norms through a combination of logic and machine learning
Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
The first peer-reviewed study of the DeepSeek AI model shows how a Chinese start-up firm made the market-shaking LLM for $300 ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...
Introduction Mental health issues such as depression and anxiety are highly and disproportionally prevalent among university ...
Artificial intelligence, or AI, is really changing how doctors diagnose illnesses. It’s not science fiction anymore; it’s ...
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