A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

In Q4/25, Upstart (UPST) delivered 64% YoY revenue growth, increasing profitability, and strong guidance for 2026 through 2028. The company's machine learning lending model outpaces difficult macro ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Across Africa and other regions with large undocumented populations, the lack of official identity papers is a major barrier to accessing medical treatment.

US technology firm Anthropic has found itself at the center of a growing international controversy following reports that its ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.