The Scientist

High Schooler Tackles Computational Drug Discovery

Pavan Subramani started doing molecular dynamics simulations for computational drug discovery alongside his high school coursework, sparking an interest in a STEM career.
Tech Xplore

Plain-language AI workflow tool could cut cloud energy use and costs dramatically

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Naval Postgraduate School Alumnus Delivers AI-Driven Logistics Advantage to U.S. Marine Corps

Marine Logistics Group benefits from having Maj. Nickolas Mohr on staff to apply his master’s degree in computer ...
Medical Xpress

With neuronal data, AI models predict grammar, meaning and context of spoken sentences

"This level of granularity is necessary for us to more completely understand how the brain generates speech and, ultimately, how we can develop technologies to restore it for individuals with ...
Science Daily

The forgotten organ that could predict how long you live

A long-overlooked organ may hold surprising clues to healthy aging and cancer survival. Researchers at Mass General Brigham used AI to analyze CT scans from tens of thousands of adults and found that ...
The New York Times

China Aims A.I. at Predicting Who Could Pose a Political Risk

New research examines how a Chinese company struggled to develop its predictive surveillance technology while U.S. restrictions were in place. The skyline of Beijing. A Chinese firm is working on ...
BMJ

Impact of COVID-19-related data drift on machine-learning prognostic models predicting 30-day opioid-related emergency department visits, hospitalisation or mortality: a ...

Objective To develop machine-learning (ML) models during the COVID-19 pandemic and adjacent time periods to evaluate the impact of data drift on model performance. Design This prognostic study used ...
Medical Xpress

AI models comb patient data to predict cardiac arrest risk

Researchers have developed artificial intelligence (AI) models that can scrutinize electronic health records (EHR) and electrocardiograms to identify individuals in the general population at elevated ...
IEEE

Spatiotemporal Predicting of Susceptible Coastal Areas Using SAR–Optical Data Integration and Geospatial Artificial Intelligence

Abstract: Coastal landslides create significant risks for human populations and infrastructure in susceptible coastal areas; therefore, strong and scalable monitoring tools are required for efficient ...
ag.purdue

Using process-based modeling and high-throughput phenotyping data to predict how plants will grow

While the houseplant sitting on your windowsill doesn’t seem to do a lot, it is turning sunlight and water into new leaves and longer stems. Plants may seem stationary in comparison to our fast-paced ...
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Page Six

Meet the company that says it can use AI to predict box office results

Before his company’s epic bankruptcy, Ryan Kavanaugh pitched Hollywood that he could predict box office winners with his “Monte Carlo” algorithm. We all know how that turned out, but that hasn’t ...