Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

Why India’s AI future may run through the edge, not the frontier In Part 1 of this series, we argued that India’s MANAV Vision has a gap at its centre.

Solid Data Inc. is trying to help enterprises get around the problem of error-prone artificial intelligence agents after ...

People.ai, the leading AI data platform for sales teams, today announced a Model Context Protocol (MCP) integration for its ...

As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

If executed at the scale, Musk's orbital data center plan could have devastating effects on the environment and the ...

Gemini 3.1 Pro is being rolled out across Google’s ecosystem. Developers can access it in preview through the Gemini API and ...

A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...