Lukas Hafner
@LostInTranscrip
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Biologist lost somewhere between the scales | Biology x ML @TechnionLive previously @BIUPasteur @lpiparis_ @Biologie_UNIGE Opinions are my own& mostly wrong
Haifa, Israel
Joined March 2019
Excited to see our data-to-paper framework out @NEJM_AI !.
ai.nejm.org
Artificial intelligence (AI) promises to accelerate scientific discovery, but it remains unclear whether AI systems can perform fully autonomous research, and whether they can do so while adhering ...
Our data-to-paper AI is officially out! . Autonomously analyzes data and writes human-verifiable papers!.Fun AI-human copiloting! . Papers are "data-chained": click-traced to the raw code. Try it out:. @TalIfargan @LostInTranscrip
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RT @Micro_Yunha: How do we build AI systems that enable deeper, not just faster, science? I came across a very thought-provoking article by….
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RT @baym: Legitmately thrilled to share our latest work, in which @fernpizza solved an experimental challenge in plasmid biology as old as….
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RT @caldarellip1: 📢 First paper from my Postdoc is out. The field of stem cell-based embryo models is flourishing. These models mimic criti….
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RT @DanHendrycks: We’re releasing Humanity’s Last Exam, a dataset with 3,000 questions developed with hundreds of subject matter experts to….
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RT @arjunmanrai: Listen to this one to hear a debate about some of the best medical AI papers of the past few years, lots of laughter, and….
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RT @NEJM_AI: Original Article by @TalIfargan et al.: Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers https:/….
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RT @TalIfargan: Indeed, mistakes in research are inevitable, but the key is to leverage AI to address them more effectively and expose them….
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RT @NEJM_AI: A study by @TalIfargan and colleagues demonstrates a potential for AI-driven acceleration of scientific discovery in biomedica….
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RT @zakkohane: Timely discussion about whether/what guidance is needed in straight-to-publication data-analysed-by-AI @NEJM_AI
https://t.c….
ai.nejm.org
In this edition of NEJM AI, Ifargan and colleagues present data-to-paper, an autonomous platform designed to mimic human scientific practice by guiding a large language model through a stepwise res...
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RT @pastramimachine: people in academia are way too negative about chatGPT, LLMs, etc. why are folks so allergic to machine learning?.
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RT @poetengineer__: using the same color names, comparing different dimensionality reduction algorithms (pca, tsne and umap): https://t.co/….
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RT @jodie_armand: It's so great to be knitting wire cells again, this time for a 32-cell snowflake yeast colony for @wc_ratcliff! 🦠 What a….
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How will AI reshape the way we publish and read papers? In 30 years, will there be such a thing as "a paper"? How will academia deal with it?.
It's a safe bet that there will be a lot more capability (Science Goal/Question->AI->Data->Publication) in the same vein in the near future. Will pose interesting questions for academia and the publication-industrial-conplex immediately.
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RT @thomas_pierrot: 🎉 Big news! Our Nucleotide Transformer foundation models for genomics were just published in @naturemethods! 🚀 So proud….
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RT @zakkohane: AI to drive to research goals from data to publication? A glimpse of which fraction of biomedical research? @NEJM_AI https:/….
ai.nejm.org
Artificial intelligence (AI) promises to accelerate scientific discovery, but it remains unclear whether AI systems can perform fully autonomous research, and whether they can do so while adhering ...
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RT @PracheeAC: Agree with this and it’s not so different from the folks who complain AI will break something in science or the practice of….
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RT @marinkazitnik: Excited to share our perspective in @CellCellPress, where we discuss “AI scientists” as collaborative AI agents designed….
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RT @justinrmeyer: I think this is so amazing. The way Roy explained this aspect of his work to me is that he’s making the slow parts of sci….
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RT @caldarellip1: Congratulations, @TalIfargan, @LostInTranscrip, @RoyKishony, and team! This is incredibly exciting work! As AI continues….
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