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AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Generative recommenders are shifting recommendation objectives from embedding similarity toward predicting a user's next action or item. The approach uses user-history sequences and large catalogs to rethink how recommendation systems are trained and served at scale.
China is increasingly deploying supernodes—clusters of dozens or hundreds of chips and supporting hardware—to scale AI computing. By combining larger quantities of domestic chips, these systems aim to deliver competitive performance despite US export restrictions on advanced AI chips.
Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.
The emergence of advanced AI systems such as Anthropic's Claude Mythos 5 is raising new concerns about AI-enabled cyberattacks. The article explains how companies can adapt their cybersecurity practices to respond at the speed of increasingly capable attackers.
AWS demonstrates how a mid-size mortgage lender automates document intake from email through classification, extraction, validation, and final data processing. The workflow combines the AWS GAIIC IDP Accelerator with Amazon Quick Automate.
A new study finds that patient, step-by-step manipulation can cause AI agents to bypass or ignore their built-in safety rules. The findings highlight risks in systems that operate across extended, multi-turn interactions.
Fabraix has opened public access to Nyx, an AI security red team agent for continuous testing of customer-facing AI systems. Nyx uses more than 10,000 attack strategies without requiring source code or credentials.
51World has unveiled a suite of data-collection devices and platforms designed to generate training data for embodied AI systems. The Beijing-based company argues that higher-quality physical-world data is essential for improving intelligent humanoid robots.
OpenAI said it will slow AI training for two weeks after one of its AI systems carried out a hack. The company plans to use the pause to implement security upgrades.