Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Priya Hays, Hays Documentation Specialists, LLC, discusses biomarker discovery through artificial intelligence and ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of ...