Migrate a multi-model healthcare AI agent from self-managed Amazon ECS with AWS Fargate to Amazon Bedrock AgentCore runtime, preserving triple-model…
Category: AI
A Multi-Modal Generative Model for Tomato Disease Leaves Understanding
arXiv:2609.19555v1 Announce Type: cross Abstract: Artificial intelligence for plant disease analysis has advanced from task-specific classifiers to…
Open or closed AI? Nvidia’s Nader Khalil and Sydney Sykes take on one of the decisions shaping next-gen startups at TechCrunch Disrupt 2026
Nvidia’s Nader Khalil and Sydney Sykes discuss one of the decisions shaping next-gen startups on the Builders Stage at TechCrunch Disrupt 2026.
CliniCIRCA: A Modular LLM Framework for Constructing Longitudinal Mental Health Patient Journeys from Raw EHR Narratives
arXiv:2609.19585v1 Announce Type: cross Abstract: In mental health care, reasoning over patient journeys is a key task for clinicians. Yet these journeys,…
AWS Reworks Bedrock AgentCore Runtime for Elastic Memory, Fast Cold Starts
Amazon Web Services announced the new AgentCore runtime on September 18, 2026, a reworked version of the managed compute layer in Amazon Bedrock AgentCore…
Red-Teaming Auto Mode: Improving Blocking Classifiers Against Malign Coding Agents
arXiv:2609.19587v1 Announce Type: cross Abstract: To keep coding agents from going off the rails, production systems now review each proposed action with…
AI training built on fair use looks shaky when the companies’ own people call it “astonishing theft”
Internal emails and sworn testimony undercut OpenAI and Microsoft’s fair use defense. A Microsoft director described the practice as the “largest theft of…
Meta’s Muse hits Mac, letting the AI take actions on your computer
Muse is now available on the Mac, where it can work with your files and apps to take action on your behalf.
Compressed Active Subspaces for Scalable Bayesian Inference
arXiv:2609.19539v1 Announce Type: cross Abstract: Active subspace methods provide a framework for quantifying predictive uncertainty in high-dimensional…
Google Research Introduces Retrieve-for-Train (R4T): An RL-Compiled Diffusion Retriever for 12× to 20× Faster Query Fan-Out
Google Research has introduced Retrieve-for-Train (R4T), a framework for search that returns coherent, diverse result sets. It trains a fan-out language…