In the race to understand our planet’s changing climate, speed and accuracy are everything. But today’s most widely used climate simulators often struggle:...
Reinforcement learning (RL) is the backbone of interactive AI. It is fundamental for teaching agents to reason and learn from human preferences, enabling...
C++ libraries like CUB and Thrust provide high-level building blocks that enable NVIDIA CUDA application and library developers to write speed-of-light code...
Here’s what’s new for Pixel:Veo 3 on Pixel: Pixel 9 Pro owners get a full year of our Google AI Pro subscription at no cost, giving them access to the latest features in…
An image shows two new Circle to Search capabilities, including the ability to dive deeper in AI Mode and gaming help for mobile gaming on Android devices
Smartwatch line drawing with “Ask Google Gemini” screen on a black background is surrounded by app icons from Google apps like YouTube Music, Search, Messages, Keep, Maps, Drive, Gmail and Docs.
A montage of devices like the Galaxy Watch8 and Galaxy Z Flip7 showing Gemini capabilities. Other abstract components like a colorful Gemini spark and Circle to Search appear.
As AI adoption accelerates, companies need internal policies that empower employees while managing risks. Learn how to build clear, trusted AI guidelines grounded in transparency, innovation, and practical steps.
Illustration of a person holding a mobile phone in front of a Gmail desktop view. To the right is a bigger mobile phone with the Gmail logo and an unsubscribe button popping out.
Modern AI applications increasingly rely on models that combine huge parameter counts with multi-million-token context windows. Whether it is AI agents...
The latest episode of the Google AI: Release Notes podcast focuses on how Gemini was built from the ground up as a multimodal model — meaning a model that works with tex…
Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where AI governance stakeholders might find inspiration in the fields. The post AI Testing and Evaluation: Learnings from pharmaceuticals and medical devices appeared first on Microsoft Research.
NVIDIA cuQuantum is an SDK of optimized libraries and tools that accelerate quantum computing emulations at both the circuit and device level by orders of...
As AI evolves to planning, research, and reasoning with agentic AI, workflows are becoming increasingly complex. To deploy agentic AI applications efficiently,...
This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to benchmark LLM inference...
We built Data Cloud to get a unified view of the customer journey, and now it powers our apps, flows, and agents. Here’s what we learned along the way.
From Internet Wild West to Agent Interoperability Picture this: It’s 1981. In a university computer lab, a researcher sits before a glowing green terminal, attempting to access data from another institution. After hours…
RAPIDS, a suite of NVIDIA CUDA-X libraries for Python data science, released version 25.06, introducing exciting new features. These include a Polars GPU...
AI agents powered by large language models are transforming enterprise workflows, but high inference costs and latency can limit their scalability and user...
As accelerated computing continues to drive application performance in all areas of AI and scientific computing, there’s a renewed interest in GPU optimization...