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Tag: #structured-data4 results
Shanghai Jiao Tong Univ's SIE uses structured data like KGs for scalable, verifiable RL envs without expert labels. Models learn multi-hop reasoning, generalizing to math/logic puzzles. ICLR 2026 accepted; open-sources code.
SAP has completed the acquisition of Freiburg-based Prior Labs to enhance its capabilities in structured data analysis. This move signals a strategic shift toward specialized AI models for business data rather than general-purpose chatbots.
Grokers introduces a bottom-up architecture for knowledge graphs that shifts intelligence from query-time to write-time. By inductively composing structured attributes, it enables zero-cost LM queries for future interactions.
SAP plans to acquire 18-month-old German AI startup Prior Labs. It will invest over 1 billion euros over four years to build NemoClaw, Europe's frontier AI lab for structured data. This moves amid slow genAI enterprise adoption.
Google is adding an AI chatbot interface that lets users describe the content they want in their Discover feed. The feature will automatically adjust feed recommendations and remember preferences for future visits.
Amazon Bedrock now supports OpenAI GPT-5.6 models—Sol, Terra, and Luna—across more than 25 AWS Regions through cross-Region inference. Developers can use US geographic or global inference profiles to improve throughput and access the models through OpenAI and Converse APIs.
OpenClaw released a fix to ensure its release process trusts exact protected tooling tags. The change addresses release-publishing behavior and improves tag validation reliability.
Slack announced Slack Code, a feature that lets teams collaborate with AI coding agents through dedicated code channels. Users can review plans, code diffs, and previews, then approve actions from agents such as Claude and Devin.
ChatGPT's latest Mac update integrates with Apple Messages, allowing users to bring conversations from Apple's messaging app into the AI assistant. The feature expands ChatGPT's access to personal communication workflows on macOS.
Part 1 shows how to configure an AWS account and Snowflake environment for a no-code machine learning workflow. The setup prepares healthcare, retail, and life sciences teams to build a fraud detection model with Amazon SageMaker Canvas.