Co-author @munafomarzia is also an incredible artist and has translated epigenetic editing with this painting.
Explainer here @embl https://
embl.org/news/science-t
echnology/an-epigenome-editing-toolkit-to-dissect-the-mechanisms-of-gene-regulation/
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RESEARCH
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Epigenetic Editing Visualization: Advanced Research Toolkit
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Free AI Pathology Paper with Video Explainer Released
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For free access to the paper, a video explainer, and insightful perspective from @AI4Pathology https://t.co/qjZlC2vTEx
— Eric Topol (@EricTopol) 9 mai 2024For free access to the paper, a video explainer, and insightful perspective from @AI4Pathology
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Command R Fine-Tuning Achieves Best Results Finance Research
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We looked at how Command R with fine-tuning works across industries like finance and scientific research (R&D) with highly specialized terminology and found the model delivers best-in-class results.
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Neural Operators Featured in Latest Issue Cover
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Fabulous cover for the issue featuring neural operators!
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Spam and AI-Generated Slop: Why Proximity Matters
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For me it's the closeness to "spam" that makes it work: spam and slop just fit so well together
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Understanding Slop vs Botshit: Unreliable AI-Generated Content
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That's a really great deck Helped me understand the difference between "slop" and "botshit" too – it looks like botshit is the subset of slop in which people use untrustworthy generated content to communicate and make decisions
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DataAISummit 2026 Announces 500+ Technical Sessions Across Multiple Tracks
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We're excited to offer 500+ technical sessions at #DataAISummit! Here's a snapshot of this year's tracks: – GenAI
– Data warehousing
– Data governance
– DS/ML
…and many more! Check out the full offering: https://
bit.ly/3UlaDA7 -
Google DeepMind AlphaFold 3 and AI workplace innovation surge
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Top stories in AI today: -Google DeepMind reveals AlphaFold 3
-OpenAI’s framework for AI behavior testing
-Generate images on Midjourney Alpha
-AI usage surges in the workplace
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/google-revea
ls-alphafold-3
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Yejin Choi Keynote at Data AI Summit on Commonsense AI
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Don't miss the #DataAISummit keynote from Yejin Choi, Professor + Sr. Research Director for Commonsense AI at AI2! We recently worked with AI2 to train their OLMo 7B, a SOTA LLM, on Databricks #MosaicAI. Don't miss great GenAI insights! Register now! https://
dbricks.co/3IMHmaT -
LLMaM: Predict your target variable with an LLM
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Welcome to the era of LLMaM! (LLM as a Model) Forget about models like Random Forest trained on data, just ask an LLM to predict your target variable! In 2018, we were promised autoML with heavy feature engineering and grid search in all