The multi-year deal involves at least a gigawatt of compute power and also includes a strategic investment from Nvidia.

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

AI has designed candidate drugs for antibiotic-resistant infections and genetic diseases. But efforts to incorporate AI into the design of lipid nanoparticles (LNPs), the revolutionary delivery ...

Boston’s chief information officer on a pioneering experiment leveraging AI to expand the public’s access to government. The next wave of AI will be defined by agentic systems that can take actions: ...

The technology giant and third-party security vendors are plotting an ambitious overhaul of how their products interoperate.

Through API-driven networking, MNOs are turning once-rigid networks into dynamic, software-controlled systems that can adapt in real time to customer needs, new applications, and emerging business ...

This paper presents a machine learning-based API framework for adaptive programming learning. The system evaluates learner performance using source code metrics (e.g., Lines of Code, Cyclomatic ...

The majority of agentic AI systems disclose nothing about what safety testing, and many systems have no documented way to shut down a rogue bot, a study by MIT found.

CardSight AI adds close to 1 million Basketball cards spanning 1957-2026. Platform now covers three major sports with ...

For decades, formative assessment has been a silent engine for learning—powering insights about student progress and worker readiness. But let’s be honest, in a world where technology is evolving ...

Abstract: Cosmic ray muon tomography has emerged as a promising technology for the non-destructive detection of dense nuclear materials, where image reconstruction and material identification are ...

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