AI TODAY.ORGEmail launch listOfficial announcements and source-linked reporting from AWS, Microsoft Azure, Google Cloud, Meta and Oracle. Explore their official X feeds for the newest posts.
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Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Read at deepmind.google (via Future Tools / Matt Wolfe) (opens in a new tab)
Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon Bedrock AgentCore payments checks budgets, signs transactions, and retries requests without exposing…
Read at AWS Machine Learning (opens in a new tab)
Meta announced the launch of its new AI-powered feature, “Your Algorithm,” a feature it first launched on Instagram.
Read at TechCrunch (opens in a new tab)
Managing AI model access across dozens or hundreds of AWS accounts creates friction when each account must accept AWS Marketplace Private Pricing Offers individually. This post shows two ways to activate MPPO entitlements in AWS License Manager: a lightweight script for a one-ti…
Read at AWS Machine Learning (opens in a new tab)
Google is making it easier to build and use personal Android apps created with AI, without having to make them available to everyone on the Play Store.
Read at TechCrunch (opens in a new tab)
AI is reaching such a pivotal moment, and the focus is shifting from building larger frontier models to intelligence that delivers practical impact.
Read at Microsoft Azure (official) (opens in a new tab)
Orca Security built Discovery AI, a natural language query agent on Amazon Bedrock that converts plain-English questions into Sonar queries. The post shares the multi-stage architecture and the results: 90% lower query cost, 93% fewer input tokens, and 75% lower latency than the…
Read at AWS Machine Learning (opens in a new tab)
Last year, we introduced GEM, the industry’s largest recommendation system (RecSys) foundation model. GEM established Meta’s first LLM-inspired paradigm for ads recommendation, driving major performance gains. Building on this foundation, our next goal is to further scale both c…
Read at Meta AI & infrastructure (official) (opens in a new tab)
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
Read at blog.google (via Future Tools / Matt Wolfe) (opens in a new tab)Headlines link to the original reporting. Article dates show publication time; the refresh time shows when feeds were last checked.
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