Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
7don MSN
Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
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