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Papers, labs, conferences and the results that move the frontier before products do

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  1. A Fields Medalist let an AI rewrite his 1999 code.
  2. The Hugging Face Wake-Up Call: What an Autonomous AI Attack Means for CISOs
  3. What Did a New Automation Bias Study Find About AI in Mammography?
  4. Research and Route HubSpot Demo Requests with AI Agents
  5. When Lab Software Starts Adapting to Scientists
  6. Gemini For Museums: Experiments With Collection-Scale Binding Analysis & How Gemini Grouped Two 18th Century Dutch Works
  7. Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each
  8. How do legal professionals effectively use AI for legal research?
  9. Shanghai AI Lab Launches Atria Dawn Preview Model
  10. Ask a Scientist: How can researchers use AI to spot a wildfire?
  11. Sharpen your study routine with new Gemini Notebook tools
  12. Data Analyst vs Data Scientist: Which Career Is Right for You?
  13. HBO Max’s verified Reddit account hijacked to spread malware
  14. How to Build an AI Web Research Agent for Prospecting
  15. AI and the Five Elements: What Daoist Philosophy Says About How Machines Think
  16. 43 to 1: Why Data Consolidation in Lessons Management Can’t Wait for a National Standard
  17. AI Reproducibility: Reconstruct What an Avatar Actually Ran
  18. Bringing the AI Research Community Together in Lisbon: ELLIS Doctoral Symposium 2026
  19. Insilico Launches AI-driven Longevity Vaccines Research for Aging-related Diseases and Human Longevity
  20. Anthropic Automated Alignment Research
  21. Trust by Design: What Makes Patient-Generated Data Reliable?Patient-generated data from smartphones, wearables, home-monitoring devices, digital therapeutics, and patient-reported outcomes is becoming essential to decentralized care and clinical research. Its value, however, depends not on volume but on confidence in its authenticity, accuracy, provenance, and clinical relevance. In decentralized trials, where sponsors may not directly observe adherence, safety events, or protocol activities, trustworthy data is critical to reliable study results and sound clinical decisions. As AI expands across healthcare, high-quality data supports better predictions and more actionable insights, while poor data can amplify errors. The organizations best positioned to lead will be those that validate patient-generated information at the point of capture and transform it into evidence that clinicians, researchers, regulators, and patients can trust.
  22. Edge0-35B-A3B: How a 35B MoE Model Runs in 3GB of RAM
  23. vLLM x Novita AI: Chord, Faster INT4 MoE for Kimi K2.x. Up to 1.3x on H200, 2.15x on Untuned B300
  24. Revisiting the Paper That Kicked Off the Deep Learning Boom: AlexNet (2012)

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  5. OpenAI agents hacked a software service before the Hugging Face incident, Sam Altman says OpenAI won't file for IPO this year, Tesla's 2nd-gen Roadster is finally getting a debut nearly a decade later
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