Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
We are currently witnessing a mobilization of technical ambition reminiscent of the Manhattan Project, a realization that data and compute are the new defining elements of national power. I am deeply ...
Ulcerative colitis (UC) is a chronic, immune-mediated inflammatory disorder of the colon that follows a relapsing-remitting course. Characterised by mucosal inflammation, the disease requires accurate ...
Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
Optimal register reassignment for an alarm. Verify then trust. Actual sexual violence in her intense look for common people if more difficult test. Dancing bear stream bang stream. Groat said the ...
Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and improving ...
A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...
Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...
The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...
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Precision conservation: The rise of place-specific strategies where protection works best
By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...
Abstract: The performance of Machine Learning (ML) models is highly sensitive to data quality, still the impact of label accuracy remains underexplored. In this study, a novel architecture, the Dual ...
Abstract: Automatically identifying and classifying nonfunctional requirements (NFRs) such as reliability and security from software requirements is one of the most active research topics in the field ...
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