AI

MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines

This summer, the MIT Schwarzman College of Computing welcomed faculty from colleges and universities across Greater Boston, South Carolina, West Virginia, and Texas to campus for the inaugural AI Educators Pilot, a weeklong workshop aimed at expanding how artificial intelligence is taught across disciplines and learning environments.  Inspired by MIT class C01/C51 (Modeling with Machine […]

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How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore

Heurist uses Amazon Bedrock AgentCore to build AI-powered financial intelligence for retail investors. Its flagship product, Heurist Finance, brings several institutional-style workflows into one chat experience: it gathers market data, reads filings and news, runs deep research, builds and stress-tests portfolios, and monitors positions. Each answer reflects the user’s portfolio and preferences. Heurist’s goal is

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Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers

TorchServe is no longer actively maintained. The official project notice states there are no planned updates, bug fixes, new features, or security patches, and that vulnerabilities might not be addressed. For teams that run model inference on TorchServe today, this means security patches stop and compatibility updates with newer versions of PyTorch and CUDA stop.

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Automate user-level custom permissions for Amazon Quick

As Amazon Quick environments scale and new AI-powered capabilities expand what users can do, automating user-level custom permissions becomes critical to maintaining the principle of least privilege. To address this, with custom permissions in Quick, you can enforce fine-grained access control by toggling specific features on or off for individual users. For example, with custom

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Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock

GPT-6 Astra from OpenAI brings greater depth and judgment to your most demanding tasks and runs on the Amazon Bedrock inference engine built for high performance, security, and scale. Organizations are already running AI agents that write code, analyze data, and automate complex workflows at production scale on Amazon Bedrock. GPT-6 Astra raises the potential

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