Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

AI is not yet the success that it should be, so two dozen enterprises will disclose their move toward a crucial new paradigm ...

As we approach the AI Impact Summit 2026, global AI exosystems are undergoing a brutal yet necessary recalibration. Those calibrations are driven by t.

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

Most people use AI wrong, says Amazon's former AWS head Allie K. Miller. Discover the super user strategies that Fortune 500 ...