4. Data Engine OCR 1.0 to 2.0 They didn’t just train on text scans. DeepSeek-OCR’s data includes: • 30M+ PDF pages across 100 languages
• 10M natural scene OCR samples
• 10M charts + 5M chemical formulas + 1M geometry problems It’s not just reading it’s parsing scientific
DATA
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DeepSeek-OCR technical data training approach
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High School Geometry Improves Spatial Intelligence in AI Models
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Can high school geometry teach AI to understand space? A new study tackles the critical challenge of spatial intelligence in Multimodal Large Language Models (MLLMs). Researchers found that fine-tuning models on Euclid30K, a new dataset of ~30,000 Euclidean geometry
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Domain-Specific AI Essential for Industrial Fault Detection
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Vertical knowledge matters. An AI trained on generic data won’t grasp a PLC fault or a quality deviation. Industrial AI needs domain context from the start. https://t.co/lhIvF2AZpS #sponsored #atelic_iiot #IndustrialAI #IndustrialData @IIoT_World via @fogoros pic.twitter.com/FbxS1KGWNe
— Lucian Fogoros (@fogoros) 19 octobre 2025Vertical knowledge matters. An AI trained on generic data won’t grasp a PLC fault or a quality deviation. Industrial AI needs domain context from the start. https://
buff.ly/KhIf1RL #sponsored #atelic_iiot #IndustrialAI #IndustrialData @IIoT_World via @fogoros -

Machine Learning Algorithms Cheat Sheet Resource
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Machine learning algorithms cheat sheet: https://
bit.ly/3gbLfaA v/Himani Bansal -
Claude Sonnet 4.5 Launches on Databricks for GenAI Workflows
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Claude Sonnet 4.5 is on Databricks!
— Databricks (@databricks) 19 octobre 2025
Run @AnthropicAI’s latest model directly on your governed data — to automate GenAI workflows, reason at scale, and build domain-specific agents with Agent Bricks.https://t.co/r79gXOCDii pic.twitter.com/KdHtwoVNnfClaude Sonnet 4.5 is on Databricks! Run @AnthropicAI
’s latest model directly on your governed data — to automate GenAI workflows, reason at scale, and build domain-specific agents with Agent Bricks. https://
databricks.com/blog/claude-so
nnet-45-here?utm_source=twitter&utm_medium=organic-social
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AI Success Requires Holistic Organizational Transformation and Cultural Adaptation
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Success in AI requires rethinking technology choices, data strategies, process redesign, team capabilities, and cultural adaptation as interconnected layers, since only a coherent reorganization can unlock sustainable progress and competitive advantage. Microblog by @antgrasso
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Image Extraction Replaces Processing with Metadata
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Image extraction, not image processing. I.e in their example with a signature, the signature doesn't get extracted at all, but instead is replaced with metadata.
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Real-Time Machine Monitoring and Predictive Maintenance for Industry
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Enabling Connected Operations Through Real-Time Machine Monitoring, Predictive Maintenance, and Automation
An article by Sreedevi Voleti, Consultant, Techwave. https://
buff.ly/o4syw31 #techwave_iiot #Industry40 #DigitalTransformation #Automation @lucianilie15 via @fogoros -

AI System Transforms Historical Research into Structured Timelines
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Event Deep Research An AI system that transforms historical research into structured timelines, automatically extracting and organizing biographical data from multiple sources into chronological JSON format. Check out the project https://
github.com/bernatsampera/
event-deep-research
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NVIDIA Nemotron Enables Open Collaborative AI Model Development
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Open. Collaborative. Scalable. NVIDIA Nemotron gives developers the data + tools to build smarter, faster AI models, together. Go see what’s possible with open-source AI at #OpenSourceAIWeek https://
nvda.ws/4hn46Pe