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This post describes an approach of combining three powerful technologies to illustrate an architecture that you can adapt and build upon for your specific financial analysis needs: LangGraph for workflow orchestration, Strands Agents for structured reasoning, and Model Context Protocol (MCP) for tool integration.
The Allen Institute of AI (Ai2)'s new physical AI model MolmoAct moves the needle for robots that can move freely in physical space.
In this post, we explore Amazon Bedrock AgentCore Memory, a fully managed service that enables AI agents to maintain both immediate and long-term knowledge, transforming one-off conversations into continuous, evolving relationships between users and AI agents. The service eliminates complex memory infrastructure management while providing full control over what AI agents remember, offering powerful capabilities for maintaining both short-term working memory and long-term intelligent memory across sessions.
In this post, we explore an innovative solution that uses Amazon Bedrock Agents, powered by Amazon Nova Lite, to create a conversational interface for Athena queries. We use AWS Cost and Usage Reports (AWS CUR) as an example, but this solution can be adapted for other databases you query using Athena. This approach democratizes data access while preserving the powerful analytical capabilities of Athena, so you can interact with your data using natural language.
As large language models increasingly dominate our everyday lives, new systems for checking their reliability are more important than ever.
The Initiative for New Manufacturing is convening experts across the Institute to drive a transformation of production across the U.S. and the world.
Understand the technical aspects of one of the most popular image generation model architectures.
Mastering frontend development essential, and these 10 GitHub repositories offer the best resources, tools, and project ideas to help you in this pursuit.
Scientists have designed swarms of microscopic robots that communicate and coordinate using sound waves, much like bees or birds. These self-organizing micromachines can adapt to their surroundings, reform if damaged, and potentially undertake complex tasks such as cleaning polluted areas, delivering targeted medical treatments, or exploring hazardous environments.
For now, the changes should help placate users who felt frustrated by the sudden shift to GPT-5 and deprecation of OpenAI's older LLMs.
Chrome buyout, AGI risks, Apple doubts, Archive gone, AI 3D, Claude 1M tokens, Google AI search, and more...
Russia's APT28 tested LLM-powered malware on Ukraine. The same tech that breaches enterprises is now selling for $250/month on the dark web.
Liquid AI has described this license as based on Apache 2.0 principles, but the full text has not yet been published.
In this post, we review the technical specifications of P6e-GB200 UltraServers, discuss their performance benefits, and highlight key use cases. We then walk though how to purchase UltraServer capacity through flexible training plans and get started using UltraServers with SageMaker HyperPod.
Embrace your inner software developer
The post Reducing Time to Value for Data Science Projects: Part 4 appeared first on Towards Data Science.
This post explores how Indegene’s Social Intelligence Solution uses advanced AI to help life sciences companies extract valuable insights from digital healthcare conversations. Built on AWS technology, the solution addresses the growing preference of HCPs for digital channels while overcoming the challenges of analyzing complex medical discussions on a scale.
In this post, Lexbe, a legal document review software company, demonstrates how they integrated Amazon Bedrock and other AWS services to transform their document review process, enabling legal professionals to instantly query and extract insights from vast volumes of case documents using generative AI. Through collaboration with AWS, Lexbe achieved significant improvements in recall rates, reaching up to 90% by December 2024, and developed capabilities for broad human-style reporting and deep automated inference across multiple languages.
In this post, we focus on implementing this architecture with step-by-step guidance and reference code. We provide a detailed technical walkthrough that addresses the needs of two critical personas in the AI development lifecycle: the administrator who establishes governance and infrastructure through automated templates, and the data scientist who uses SageMaker Unified Studio for model development without managing the underlying infrastructure.
This post presents architectural strategies and a scalable framework that helps organizations manage multi-tenant environments, automate consistently, and embed governance controls as they scale their AI initiatives with SageMaker Unified Studio.
OpenAI is positioning GPT-5 not only as a more powerful AI model but also as part of a more connected workspace.
A hands-on tutorial with Python and CasADi
The post Model Predictive Control Basics appeared first on Towards Data Science.
Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple terms
The post Coconut: A Framework for Latent Reasoning in LLMs appeared first on Towards Data Science.
How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category
The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science.
Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results
The post Fine-Tune Your Topic Modeling Workflow with BERTopic appeared first on Towards Data Science.
Learn how to install and set up Neo4j. This article will help you start using Neo4j to explore connected data.
Anthropic's Claude Sonnet 4 supports 1 million token context window, enables AI to process entire codebases and documents in one request.
Startup Character.AI once promised superintelligence. Its new CEO says it's now an entertainment company with 20 million users.
CoAct-1 is an AI agent that combines GUI control with on-the-fly coding, making computer automation more robust and efficient.
This is a step-by-step guide to prompting LLMs in natural language and getting SQL code.
In this article, you will learn: • Build a decision tree classifier for spam email detection that analyzes text data.