Machine-learning model can reliably predict cognitive performance based on lifestyle indicators by Diana Yates, University of Illinois at Urbana-Champaign edited by Gaby Clark, reviewed by Andrew ...

MLPerf HPC benchmarks measure training time and throughput for three high-performance simulations that have adopted machine learning techniques – Cosmoflow, DeepCAM, and OpenCatalyst.

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

OpenAI released HealthBench, an open-source benchmark measuring the performance and safety of large language models in healthcare.

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors.

Poor quality, unusable data is a burden for those at the end of the data’s journey. These are the data users who use it to build models and contribute to other profit-generating activities.

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...