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

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 ...

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

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

National Institute of Technology Calicut (NITC) is significantly expanding and restructuring its academic offerings starting ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

The SIGMOD community honors the research of BIFOLD researchers Arnab Phani and Matthias Böhm. Their work on eliminating the inefficient reuse of intermediate computations across multi-backend machine ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

Kettering University developed a collaborative program between education and industry to prepare students for meaningful, high-impact careers.