AWS Machine Learning Blog Official Machine Learning Blog of Amazon Web Services
- Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companionby Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah, Vaibhav Singh on March 7, 2025 at 20:52
This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk. Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.
- Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analyticsby Denise Gosnell on March 7, 2025 at 18:23
Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. In this post, we discuss the benefits of GraphRAG and how to get started with it in Amazon Bedrock Knowledge Bases.
- Build a Multi-Agent System with LangGraph and Mistral on AWSby Andre Boaventura on March 6, 2025 at 17:02
In this post, we explore how to use LangGraph and Mistral models on Amazon Bedrock to create a powerful multi-agent system that can handle sophisticated workflows through collaborative problem-solving. This integration enables the creation of AI agents that can work together to solve complex problems, mimicking humanlike reasoning and collaboration.
- Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGASby Madhu Balaji on March 6, 2025 at 16:52
In this post, we’ll explore how to leverage Amazon Bedrock, LlamaIndex, and RAGAS to enhance your RAG implementations. You’ll learn practical techniques to evaluate and optimize your AI systems, enabling more accurate, context-aware responses that align with your organization’s specific needs.
- Innovating at speed: BMW’s generative AI solution for cloud incident analysisby Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, Luisa-Sophie Gloger on March 5, 2025 at 21:33
In this post, we explain how BMW uses generative AI to speed up the root cause analysis of incidents in complex and distributed systems in the cloud such as BMW’s Connected Vehicle backend serving 23 million vehicles. Read on to learn how the solution, collaboratively pioneered by AWS and BMW, uses Amazon Bedrock Agents and Amazon CloudWatch logs and metrics to find root causes quicker. This post is intended for cloud solution architects and developers interested in speeding up their incident workflows.
MIT News – Artificial intelligence MIT news feed about: Artificial intelligence
- Robotic helper making mistakes? Just nudge it in the right directionby Adam Zewe | MIT News on March 7, 2025 at 05:00
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
- 3 Questions: Visualizing research in the age of AIby Melanie M. Kaufman | Department of Chemical Engineering on March 6, 2025 at 16:00
Felice Frankel discusses the implications of generative AI when communicating science visually.
- Markus Buehler receives 2025 Washington Awardby Stephanie Martinovich | Department of Civil and Environmental Engineering on March 3, 2025 at 21:45
Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.
- Collaborating to advance research and innovation on essential chips for AIby Microsystems Technology Laboratories on February 28, 2025 at 15:30
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
- An ancient RNA-guided system could simplify delivery of gene editing therapiesby Jennifer Michalowski | McGovern Institute for Brain Research on February 27, 2025 at 22:00
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Google DeepMind Blog Read the latest articles and stories from DeepMind and find out more about our latest breakthroughs in cutting-edge AI research.
- Start building with Gemini 2.0 Flash and Flash-Liteon February 25, 2025 at 18:02
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
- Gemini 2.0 is now available to everyoneon February 5, 2025 at 16:00
We’re announcing new updates to Gemini 2.0 Flash, plus introducing Gemini 2.0 Flash-Lite and Gemini 2.0 Pro Experimental.
- Updating the Frontier Safety Frameworkon February 4, 2025 at 16:41
Our next iteration of the FSF sets out stronger security protocols on the path to AGI
- FACTS Grounding: A new benchmark for evaluating the factuality of large language modelson December 17, 2024 at 15:29
Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations
- State-of-the-art video and image generation with Veo 2 and Imagen 3on December 16, 2024 at 17:01
We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.