A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

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 new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

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 ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...