[MUSIC FADES] I’d like to ask each of my guests to introduce themselves. Tell me a little bit about your background and what you’re currently working on—to the extent you can talk about it—in AI. So, …
AI Research Dispatch
Updates from labs, pre-print servers, and academic AI research groups.
This post is cowritten by Tal Shapira and Tamir Friedman from Reco. Reco helps organizations strengthen the security of their software as a service (SaaS) applications and accelerate business without …
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular …
Who benefits from artificial intelligence? This basic question, which has been especially salient during the AI surge of the last few years, was front and center at a conference at MIT on Wednesday, …
The following is a joint announcement from the MIT School of Architecture and Planning, MIT Schwarzman College of Computing, Hasso Plattner Institute, and Hasso Plattner Foundation. The MIT …
MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating …
It’s a double feature on GFN Thursday. This week, GeForce NOW offers smoother sights in virtual reality (VR) and a sprawling new land to conquer. Streaming at 90 frames per second (fps) comes to …
Organizations with users in multiple geographies face data residency requirements such as General Data Protection Regulation (GDPR) in Europe, country-specific data sovereignty laws, and internal …
Introducing V-RAG: revolutionizing AI-powered video production with Retrieval Augmented Generation
A key development in generative AI is AI-powered video generation. Before AI, creating dynamic video content required extensive resources, technical expertise, and significant manual effort. Today, AI …
Enhanced metrics for Amazon SageMaker AI endpoints: deeper visibility for better performance
Running machine learning (ML) models in production requires more than just infrastructure resilience and scaling efficiency. You need nearly continuous visibility into performance and resource …
Generating high-quality custom videos remains a significant challenge, because video generation models are limited to their pre-trained knowledge. This limitation affects industries such as …
Nemotron 3 Super is now available as a fully managed and serverless model on Amazon Bedrock , joining the Nemotron Nano models that are already available within the Amazon Bedrock environment . With …
To understand AI capabilities across these cognitive abilities, we propose a three-stage evaluation protocol that benchmarks system performance in relation to human capabilities: Evaluate AI systems …
The United States and China “are the two largest emitters of carbon in the world,” said Nicholas Burns , former U.S. ambassador to the People’s Republic of China, at a recent MIT seminar. “We need to …
If you’re running Amazon Nova 1 models on Amazon Bedrock , you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external tools for web search and code …
The next generation of robots will be generalist-specialists — capable of understanding instructions and learning broad skills while also trainable for specialized tasks. Think of them as jacks of all …
This post is cowritten with Hammad Mian and Joonas Kukkonen from Bark.com. When scaling video content creation, many companies face the challenge of maintaining quality while reducing production time. …
Organizations commonly rely on A/B testing to optimize user experience, messaging, and conversion flows. However, traditional A/B testing assigns users randomly and requires weeks of traffic to reach …
With a wide array of Nova customization offerings, the journey to customization and transitioning between platforms has traditionally been intricate, necessitating technical expertise, infrastructure …
Large language models (LLMs) have transformed how we interact with AI, but one size doesn’t fit at all. Out-of-the-box LLMs are trained with broad, general knowledge and improved for a wide range of …
Moving AI agents from prototypes to production surfaces a challenge that traditional testing is unable to address. Agents are flexible, adaptive, and context-aware by design, but the same qualities …
ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support this, please subscribe. Can LLMs autonomously refine other LLMs for …
Roche Scales NVIDIA AI Factories Globally to Accelerate Drug Discovery, Diagnostic Solutions and Manufacturing Breakthroughs
Roche is deploying more than 3,500 NVIDIA Blackwell GPUs across hybrid cloud and on‑premises environments in the U.S. and Europe, expanding on an existing collaboration to turn AI and accelerated …
Setting up AI factories in simulation — decreasing deployment time from months to days — is accelerating the next industrial revolution. Nowhere was that more apparent than at GTC 2026, in San Jose, …
The early years of faculty members’ careers are a formative and exciting time in which to establish a firm footing that helps determine the trajectory of researchers’ studies. This includes building a …