In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Last June, the FDA signaled how far that integration has progressed when it announced the use of Elsa, a generative AI tool, to support aspects of the drug approval process. While regulatory adoption ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...
Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
Climate Compass on MSN
The science behind earthquake prediction efforts
Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...
As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...
Researchers at Liverpool School of Tropical Medicine (LSTM) have identified a bacterium strongly associated with noma disease ...
Cerf’s February 2026 Communications Cerf’s Up column, “Does AI Now Represent a Paradigm Shift?” rightly characterizes modern ...
Abstract: Machine learning (ML) models were used to determine the moisture content (MC) for multiple grains and seeds after training on a large dataset obtained through several decades of research.
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