Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

The artificial intelligence moment has a new focal point, and it isn’t a model — it’s the mess of files, logs and transactions where work actually happens. The winners may very well be those who ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...

The same rule applies today. The value of technology is in what it actually changes. In practice, most companies experience ...

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

Training compute builds AI models. Inference compute runs them — repeatedly, at global scale, serving millions of users billions of times daily.

Credit: Image generated by VentureBeat with Gemini 2.5 Flash (nano banana) AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized ...

Engineers at the University of Florida have built a photonic chip that performs convolutions, the most compute-heavy operation in modern AI, using light instead of electricity and delivering roughly ...

From 2005 to 2017—the pre-AI era—the electricity flowing into U.S. data centers remained remarkably stable. This was true despite the explosive demand for cloud-based services. Social networks such as ...

Partner Content In an AI era defined by the explosive growth of intelligent applications, both technological and economic ...