In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

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

Russian researchers have developed a machine learning model designed to improve oil extraction efficiency by identifying key ...

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

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

DRI taps AI and forecasting tools to sharpen restaurant efficiency, boosting labor planning, reducing waste and improving service without replacing workers.

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

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional ...

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

AI in pharma offers opportunities in clinical trial optimization, drug discovery enhancement, personalized healthcare, and ...