Kenneth Atz
@atzkenneth
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AI Research Scientist @Roche. PhD AI/ML @ETH. 👨🏻‍💻🧬
Zurich, Switzerland
Joined October 2013
RT @clemensisert: With the scarcity of high-quality, leakage-free benchmarking datasets in the chem-bio space, it's really exciting to see….
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RT @HansClevers: Congratulations to Sylke Poehling! I am excited about the potential impact of Sylke as Professor of Practice in the Depart….
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RT @jo_brandstetter: xLSTM is out -- putting LSTM networks on steroids to become a more than serious LLM competitor. How? Via exponential….
arxiv.org
In the 1990s, the constant error carousel and gating were introduced as the central ideas of the Long Short-Term Memory (LSTM). Since then, LSTMs have stood the test of time and contributed to...
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RT @ETH: ETH-Forschende haben ein Computerverfahren entwickelt, mit dem sich pharmazeutische Wirkstoffe effizient aus der 3D-Oberfläche ein….
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RT @ETH_en: Chemists at ETH created a computer process to produce pharmaceutical ingredients efficiently from a protein's 3D surface, which….
ethz.ch
A new computer process developed by chemists at ETH Zurich makes it possible to generate active pharmaceutical ingredients quickly and easily based on a protein’s three-dimensional surface. The new...
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RT @ETH_DCHAB: A new computer process developed by chemists led by Gisbert Schneider & Kenneth Atz @ETH_en makes it possible to generate ac….
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RT @ML_Chem: Prospective de novo drug design with deep interactome learning #machinelearning #compchem
nature.com
Nature Communications - The use of data-driven generative models for drug design is challenging due to the scarcity of data. Here, the authors introduce a “zero-shot" generative deep...
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RT @rneschneuing: New preprint! In this project spearheaded by Anthony Marchand and @St_Buckley we designed new chemically-induced protein….
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RT @marwinsegler: ICML will be 🔥🔥🔥: Our workshop for ML for Life and Material Science: From Theory to Industry Applications is happening!….
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RT @ProfvLilienfeld: Looking for a computational scientist who's interested in a permanent position in Toronto. Physics background, and som….
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RT @loukasa_tweet: Internship opportunity 🤓 - work with us on generative AI for antibody design . Apply here: https….
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RT @olexandr: After 1.5 yeas our review “Integrating #QSAR modelling and deep learning in #drugdiscovery: the emergence of deep QSAR” in @N….
nature.com
Nature Reviews Drug Discovery - Advances with deep learning, the growth of databases of molecules for virtual screening and improvements in computational power have supported the emergence of a new...
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RT @ProfvLilienfeld: Q: How to alter your training set selection if you only care about 1 prediction? A: Bias by similarity and train on th….
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RT @ProfvLilienfeld: SAVE THE DATE! Chemical Compound Space Conference May 21-24 2024 in Heidelberg! Amazing speakers, posters, and science….
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RT @CommsChem: A reaction screening approach combining HTP-experimentation with computational GNN to identify suitable substrates for late-….
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