Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Recent survey delivers the first systematic map of LLM tool-learning, dissecting why tools supercharge models and how ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
2don MSN
Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...
In a meta-analysis published in Gut Microbes, investigators pooled shotgun metagenomic sequencing data to examine how gut ...
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