Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

COLUMBUS, Ohio – Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Using machine learning tools ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

NEW YORK, April 8, 2026 /PRNewswire/ -- ACM, the Association for Computing Machinery, today named Matei Zaharia as the recipient of the ACM Prize in Computing for his visionary development of ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Advance your career with IIT Kharagpur’s 2026 Online Executive Programs in AI and Machine Learning. Explore eligibility, the ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...