Introducing Veo 3.1 and advanced creative capabilities
We’re rolling out significant updates to Veo that give people even more creative control.
Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration
We present an approach to software testing automation using Agentic Retrieval-Augmented Generation (RAG) systems for Quality Engineering (QE) artifact creation. We combine autonomous AI agents with hybrid vector-graph knowledge systems to automate test plan, case, and QE metric generation. Our approach addresses traditional software testing limitations by leveraging LLMs such as Gemini and Mistral, multi-agent …
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Transforming enterprise operations: Four high-impact use cases with Amazon Nova
Since the launch of Amazon Nova at AWS re:Invent 2024, we have seen adoption trends across industries, with notable gains in operational efficiency, compliance, and customer satisfaction. With its capabilities in secure, multimodal AI and domain customization, Nova is enhancing workflows and enabling cost efficiencies across core use cases. In this post, we share four …
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The ultimate prompting guide for Veo 3.1
If a picture is worth a thousand words, a video is worth a million. For creators, generative video holds the promise of bringing any story or concept to life. However, the reality has often been a frustrating cycle of “prompt and pray” – typing a prompt and hoping for a usable result, with little to …
Anthropic is giving away its powerful Claude Haiku 4.5 AI for free to take on OpenAI
Anthropic released Claude Haiku 4.5 on Wednesday, a smaller and significantly cheaper artificial intelligence model that matches the coding capabilities of systems that were considered cutting-edge just months ago, marking the latest salvo in an intensifying competition to dominate enterprise AI. The model costs $1 per million input tokens and $5 per million output tokens …
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The AI Industry’s Scaling Obsession Is Headed for a Cliff
Huge AI infrastructure deals assume that algorithms will keep improving with scale. They may not.
A stapler that knows when you need it: Using AI to turn everyday objects into proactive assistants
A stapler slides across a desk to meet a waiting hand, or a knife edges out of the way just before someone leans against a countertop. It sounds like magic, but in Carnegie Mellon University’s Human-Computer Interaction Institute (HCII), researchers are combining AI and robotic mobility to give everyday objects this kind of foresight.
Shooting Aliens – 100% Qwen Image Edit 2509 + NextScene LoRA + Wan 2.2 I2V
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10 Python One-Liners for Calling LLMs from Your Code
You don’t always need a heavy wrapper, a big client class, or dozens of lines of boilerplate to call a large language model.
Build a device management agent with Amazon Bedrock AgentCore
The proliferation of Internet of Things (IoT) devices has transformed how we interact with our environments, from homes to industrial settings. However, as the number of connected devices grows, so does the complexity of managing them. Traditional device management interfaces often require navigating through multiple applications, each with its own UI and learning curve. This …
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