NVIDIA CUDA-X libraries and AI models are accelerating TSMC workloads across lithography, transistor and process simulation, ...

For the innumerable ride-hailing drivers in Vietnam, daily work comes with two threats: violence by passengers and penalties ...

Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...

AI is transforming procurement from reactive supplier scorecards to predictive, real-time decision-making, helping organizations anticipate disruptions, reduce delays and build more resilient supply ...

Booz Allen and Future Tech leaders share how using hybrid design, edge AI and GPUs can accelerate secure federal AI deployment.

Artificial intelligence tools and large language models are being deployed in infectious disease and critical care at a rate that outpaces the evidence base ...

We’ve gone through the 3.0 and 3.1 families since then, and now it’s on to version 3.5. Gemini 3.5 Flash is rolling out ...

Years of working with large-scale distributed systems have reinforced a lesson that only becomes clearer with time: ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

The tech giant pushed back the timeline after spending billions to be on the cutting edge of artificial intelligence. By Eli Tan Reporting from San Francisco Mark Zuckerberg, the chief executive of ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality.