Our paper landed in Nature Health today! Healthcare is one of the most high-stakes, high-potential applications of AI. So we set out to understand how people actually use it in our AI products today. https://
nature.com/articles/s4436
0-026-00117-x
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ENTERPRISE AI
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Nature Health Paper Explores AI Usage in Healthcare Applications
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Ceiling-Climbing Robotic Warehouse Automation System
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Gravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation
— Ronald van Loon (@Ronald_vanLoon) 16 avril 2026
via @ZappyZappy7#Robot #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/5H3M2CaORKGravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation
via @ZappyZappy7 #Robot #MachineLearning #ArtificialIntelligence #ML -
Databricks Document Intelligence: Structured Data Extraction for Enterprise AI
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Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over.
— Databricks (@databricks) 16 avril 2026
Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality… pic.twitter.com/rjPjJSXjY8Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over. Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality
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AMD Analyzes Claude Opus 4.6 Performance Regression Evidence
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Breaking: For weeks developers have been publicly documenting what they called a degraded Opus 4.6, with actual receipts. A Senior Director at AMD analyzed 6,852 Claude Code sessions, 17,871 thinking blocks, and 234,760 tool calls and concluded the model had regressed so badly it
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RDU Platform Recognized on Forbes AI50 for Autonomous Agents
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Another year on the #ForbesAI50 list @Forbes We're honored to be recognized as AI moves from human-driven interactions to autonomous agentic workflows — exactly the moment RDUs are purpose-built for. Thank you to our customers, partners & team! https://
forbes.com/lists/ai50/ -
TabH2O Aims to Accelerate Tabular Machine Learning Workflows
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Building a model for a new tabular dataset still takes weeks. Feature engineering, model selection, hyperparameter tuning, iteration — before a single prediction is made. #TabH2O is our answer to that.
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Opus 4.7: Enhanced Long-Task AI With Autonomous Verification
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What makes Opus 4.7 different: in our early testing it handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. Designed for work you can hand off with less oversight.
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NVIDIA Transforms Media Production with AI at NABShow2026
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The future of media is being built with AI. Join us at #NABShow2026 to see how NVIDIA and our global partners are transforming production workflows, fan engagement, and content monetization at scale. Learn more: https://
nvda.ws/4ctVnIK -
Enterprise AI Leaders Adopt Decision Ownership and Agent Orchestration
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Enterprise AI leaders are shifting to: → Decision ownership layers → Execution guardrails → Agent orchestration → Context-driven data systems