Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution than ever before.
6don 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 ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
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 ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
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