As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Administrators can elevate special education teams from support roles to central drivers of inclusive instruction.

Online education's failures stem from poor pedagogy, not technology; effective learning requires thoughtful design and active ...

The contributions of Indian universities to the knowledge economy remain insufficient, especially when compared to ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Vadodara: A three-day Design Fest 2025, organized by the Maharaja Ranjitsinh Gaekwad Institute of Design (MRID) under the ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

These aren’t predictions—they’re the first visible signs of a global transformation already underway. AI is no longer ...