Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

By responsibly harnessing the power of AI to interpret complex datasets, marketers can deliver tailored experiences that ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Digital transformation has become a necessity for enterprises across industries, but the journey of migration to more sophisticated digital environments is far ...

Discover how AI is revolutionizing marketing—from personalization and automation to analytics—enabling smarter, faster, and more efficient brand growth.