Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

The 2026 DSML Platform Technology Value Matrix was authored by Research Analyst Duncan Van Kouteren and released on April 7, ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...

Phages are ubiquitous particles that infect bacteria and archaea in all environments. In addition to lysing bacteria, phages ...

Abstract: The increasing complexity and capacity demands of modern optical communication networks require advanced tools for predictive maintenance and fault prevention. This study presents a ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...