AI

This post is co-written with Eliuth Triana Isaza, Abhishek Sawarkar, and Abdullahi Olaoye from NVIDIA. Today, we are excited to announce that the Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 are available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can now deploy NVIDIA’s newest reasoning models to […]

Storm streamers are using radars and AI robots to predict extreme weather for millions of YouTube subscribers, in some cases faster than the National Weather Service, which has been gutted by DOGE.

At a mansion overlooking the Golden Gate Bridge, a group of AI insiders met to debate one unsettling question: If humanity ends, what comes next?

A neural network trained with simulations of supermassive black holes has found that the one at the center of the Milky Way, Sagittarius A*, likely rotates at maximum speed.

Many new Apple Intelligence features happen on your device rather than in the cloud. While it may not be flashy, the privacy-centric approach could be a competitive advantage.

Amid fast-moving events in Los Angeles, users are turning to chatbots like Grok and ChatGPT to find out what’s real and what’s not—and getting inaccurate information.

Travel agents help to provide end-to-end logistics — like transportation, accommodations, meals, and lodging — for businesspeople, vacationers, and everyone in between. For those looking to make their own arrangements, large language models (LLMs) seem like they would be a strong tool to employ for this task because of their ability to iteratively interact using

An AI-related provision in the “Big Beautiful Bill” could restrict state-level legislation of energy-hungry data centers—and is raising bipartisan objections across the US.

Research that crosses the traditional boundaries of academic disciplines, and boundaries between academia, industry, and government, is increasingly widespread, and has sometimes led to the spawning of significant new disciplines. But Munther Dahleh, a professor of electrical engineering and computer science at MIT, says that such multidisciplinary and interdisciplinary work often suffers from a number

AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools