Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Calculating earthquake magnitudes can be a challenge in places like Yellowstone, where lots of small seismic events can occur in rapid succession. But artificial intelligence offers a potential soluti ...

A lack of capacity within agencies will lead to disparate outcomes on the “responsible use” of AI, a former AI/ML engineer ...

Researchers at the University of Pittsburgh and Carnegie Mellon University collaborated to create a customized app based on ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Ning Lin explains how reinforcement learning methods could help mitigate climate risk, despite uncertainty in climate change risk forecasts.

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

The combined multiple machine learning performance measure (CMMLPM) offers a groundbreaking framework for evaluating machine learning (ML) systems by integrating multiple performance metrics into a ...

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics ...