Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.
Artificial intelligence startup Galileo Technologies Inc. today released the results of a benchmark test that compared the accuracy of the industry’s most popular large language models. The ...
New discipline addresses gap between brand intent and AI-generated descriptions as 95% of B2B buyers plan to use ...
As artificial intelligence rapidly advances, how do we assess whether these systems are truly effective, ethical, and safe? Evaluation methods need to evolve beyond straightforward accuracy metrics to ...
Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...
Super immunodeficient mouse models with knockout of murine Fc gamma receptors (FcγRs) have emerged as valuable tools in biomedical research for improving the accuracy of preclinical experimental ...
In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
UNSW researchers have developed an intrinsic-adjusted single-diode model that explicitly accounts for radiative and Auger recombination, improving I–V curve accuracy and reducing root mean square ...
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