3rd Nobel Turing Challenge Initiative Workshop
3rd Nobel Turing Challenge Initiative Workshop
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0 0 likes | 3 3 playsDifferentiable Chemical Physics of Molecular Mixtures by Geometric Deep Learning" (Shang Zhu, Venkat Viswanathan Carnegie Mellon University) -
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0 0 likes | 0 0 playsLabel Propagation with Weak Supervision" (Rattana Pukdee, Dylan Sam, Maria-Florina Balcan, Pradeep Ravikumar Carnegie Mellon University) -
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0 0 likes | 0 0 playsAI-driven HPLC experiment optimization in the cloud lab environment: on-the-fly experiment validation and anomaly detection" (Filipp Gusev, Olexandr Isayev,… -
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0 0 likes | 0 0 playsClimbing Jacob's Ladder with Delta Learning: A Graph Neural Network and Attention Mechanism-Based Recommender System for Density Functional Approximations"… -
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0 0 likes | 4 4 playsASPIRE LINQX: A Specialized Platform for Innovative Research Exploration Ledger for Interactive Query eXecution" (Matthew Muhoberac, Sanjay Iyer, Saniya Virani,… -
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0 0 likes | 3 3 plays"Using the dynamics of discovery: A temporal graph-based approach to automated hypothesis generation," (Uchenna Akujuobi, Priyadarshini Kumari, Jihun Choi,… -
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0 0 likes | 0 0 playsVideo anomaly detection for lab automation" (Ali Dabouei, Min Xu, Computational Biology Department, Carnegie Mellon University) -
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0 0 likes | 4 4 plays"Self-driving laboratories to autonomously navigate the protein fitness landscape" (Philip A. Romero, Biochemistry Department, University of … -
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0 0 likes | 0 0 plays"Learning metabolic models from a blank slate with automated experiments" (Adam Dama, Noelle Toong, Vasu Rao, and Paul Jensen, Department of Biomedical … -
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0 0 likes | 0 0 plays"Unleashing the Power of Automation to Uncover and Manipulate Bacterial Behaviors" (Andrew Bridges, Department of Biological Sciences, Carnegie Mellon… -
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0 0 likes | 7 7 plays"ARES™ Autonomous Experimentation for Accelerated Research" (Benji Maruyama, Air Force Research Laboratory) -
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0 0 likes | 4 4 plays"Lessons Learned in Automated Science Education for Graduate Students" (Joshua D. Kangas, Computational Biology Department, Carnegie Mellon University) -
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0 0 likes | 7 7 plays"Leveraging Machine Learning & Automation to Systematically Guide Synthetic Biology" (Hector Garcia Martin, Biological Systems and Engineering Division,… -
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0 0 likes | 19 19 playsWelcome Remarks (Theresa Mayer, Vice President for Research, Carnegie Mellon University & Hiroaki Kitano, Okinawa Institute of Science and Technology; Head,… -
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0 0 likes | 5 5 plays"Accelerating the design of organic materials with autonomous AI agents" (Olexandr Isayev, Department of Chemistry, Carnegie Mellon University)