From self-driving cars to facial recognition, modern life is growing more dependent on machine learning, a type of artificial ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers ...

A Deep Learning Alternative Can Help AI Agents Gameplay the Real World A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Rice University. "Machine learning powers new approach to detecting soil contaminants." ScienceDaily. ScienceDaily, 9 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / 250509121913.htm>.

Fatma-Elzahraa Eid, a senior machine learning scientist in Deverman's group, was the first author on the study. "This was a really unique approach," Deverman said.