This post was co-authored with Neevash Ramdial, Technical Marketing leader at Stream Building production-grade voice agents that feel natural and responsive is a complex engineering challenge. You …
AI Research Dispatch
AI research dispatch tracking model releases, lab updates, benchmarks, safety work, and academic papers with links to primary or source materials and context.
Amazon Quick is an AI-powered unified intelligence service that brings together an organization’s data, structured data and unstructured enterprise content like documents, emails, and knowledge bases …
Improving bot accuracy in Amazon Lex starts with handling how customers communicate naturally. Your customers express the same request in dozens of different ways, combine multiple pieces of …
Agentic AI is changing the way users get work done. Following the success of OpenClaw , the community is embracing new open source agentic frameworks. The latest is Hermes Agent , which crossed …
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NVIDIA, Ineffable Intelligence Team Up to Build the Future of Reinforcement Learning Infrastructure
Reinforcement-learning agents — AI systems that learn by trial and error — can convert computation into new knowledge. That’s the focus of a new engineering-level collaboration between NVIDIA and …
When you fine-tune large language models (LLMs) with Amazon SageMaker AI while using Databricks Unity Catalog , you might face unique challenges like how to maintain strict data governance while using …
Model Context Protocol (MCP) adoption has accelerated rapidly since its introduction in November 2024. Enterprises now manage dozens to hundreds of MCP servers—tools that extend AI agent capabilities …
Building end-to-end live streaming applications with real-time voice interaction presents several challenges: network bandwidth constraints can cause high latency and quality degradation in …
Financial institutions process thousands of complex documents daily. Optical Character Recognition (OCR) errors in financial data can propagate through interconnected calculations, affecting …
Microsoft releases a lightweight foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings in grid analysis. At a glance Microsoft …
At a glance Today’s critical services and applications are often highly concurrent, using hundreds of threads. They also operate at large memory scales, frequently hundreds of gigabytes, especially …
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Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Regulate? Don’t regulate. …
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Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
“Artificial intelligence is not just for computer scientists anymore; it’s going to permeate every aspect of our lives and influence every business,” says MIT President Sally Kornbluth. The world is …
MIT’s Universal Learning is a new initiative from MIT Open Learning designed to prepare learners everywhere to tackle complex global challenges through boundary-crossing thinking. Universal …
From finance and procurement to supply chain and manufacturing, specialized AI agents are moving into the enterprise systems where business decisions are made, data is accessed and workflows run at …
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How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours
This post is co-authored with Philipp Pavlov, Dmytro Romantsov, Evgeny Mironenko, and Gowri Suryanarayana from Miro . Miro is an AI-powered innovation workspace that serves over 95 million users …
Enterprise data with tens of millions of rows, row-level and column-level security, and dozens of datasets spanning multiple business domains need AI-generated answers that are trustworthy, …
If you work in aerospace, automotive, or heavy industry manufacturing, your organization likely maintains vast repositories of technical documents. These documents combine written specifications with …
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Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account
Today, we’re excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic’s native Claude Platform …
This post is co written by Ishan Goswami and Nitya Sridhar from Exa. If you are building web search-enabled AI agents for research, fact-checking, or competitive intelligence, access to current and …
The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs) to determine compliance obligations. As …
Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract. But how do you create …
Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different jurisdictions. These teams process regulatory …
At a glance AI agents are moving into social contexts. When agents manage calendars, negotiate purchases, or interact with other agents on a user’s behalf, they need more than task competence—they …
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Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models
At a glance Experimental validation Using high-throughput screening with MatterSim-v1, we previously identified tetragonal tantalum phosphorus (TaP) as a potential high-performance thermal conductor. …