Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
A locally trained model predicted sepsis early among hospitalized patients, with moderate accuracy, high false-positive rates, and modest lead times that varied with the definition of sepsis used, ...
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 ...
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 ...
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AI model predicts robberies across US cities with 86.3% accuracy
Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...
Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...
Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...
A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate predictions of where floods will occur. In a new study published in AGU Advances, ...
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 ...
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
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 ...
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