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

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

The ANTENNA project invites the public to forecast insect population trends and compete against machine learning models using ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

As enterprises adopt AI, many are discovering that context, not model sophistication, determines whether systems can be ...

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 ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Professor Edith Elkind serves as one of three editors-in-chief for the Journal of Artificial Intelligence Research.

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

The FCA's 2024 arrears management review said something that should have made every mortgage servicer uncomfortable: firms ...

The Singapore rail operator has developed an intelligent analytics platform to support predictive maintenance and pinpoint track issues, maximising its three-hour nightly maintenance window ...

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...