This post is cowritten by Paul Burchard and Igor Halperin from Artificial Genius.
The proliferation of large language models (LLMs) presents a significant paradox for highly regulated industries like …
Integrating Amazon Bedrock AgentCore with Slack brings AI agents directly into your workspace. Your teams can interact with agents without jumping between applications, losing conversation history, or …
Artificial intelligence holds promise for helping doctors diagnose patients and personalize treatment options. However, an international group of scientists led by MIT cautions that AI systems, as …
Autonomous agents mark a new inflection point in AI. Systems are no longer limited to generating responses or reasoning through tasks. They can take action: Agents can read files, use tools, write and …
[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, …
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 …
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 …
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 …