Discrepancy 3: Efficiency does not account for, and can potentially exacerbate, broader environmental impacts from hardware ...

In a major breakthrough, a team of researchers from The City College of New York and Memorial Sloan Kettering Cancer Center ...

Presented as part of a late-breaking symposium, results from a new study demonstrate the potential for AI to more accurately identify individuals at risk for type 1 diabetes up to a year before ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

The support vector machine (SVM) model yielded an AUC of 0.9241, with an accuracy of 94.1%, precision of 96.8%, recall of 86.4%, and an F1-score of 0.9132.The random forest model performed the best in ...

SAN FRANCISCO, June 04, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons® announced new results for the MLPerf® Training v5.0 benchmark suite, highlighting the rapid growth and evolution of the field ...

Machine learning-based software is vital for future Internet of Things (IoT) applications and Connected and Autonomous Vehicles (CAVs) as it provides the core value of these services by leveraging the ...

In this paper, a novel system, ‘AutoEvaINet,’ has been developed for evaluating machine-generated feedback in response to multimodal input containing text and images. A new metric, ‘Automatically ...