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OpenMed
 		Research  ·  Learning


		Computational learning research focuses on the mechanisms of perception, memory and conceptual reasoning,
		drawing from neurobiology, computer science and statistical methods.

		This group is primarily responsible for developing and operating the Learning Health Systems at Balanced City,
		supporting machine learning applications like AutoML in partnership with Medical Ontologies research group.

		Contributors apply automated methods of feature learning and entity recognition within the high-dimensional
		feature space of medical data.


















LearningLearning drives everything
Learning Research Group
Open | Enrolling



			

			ACM        Federated Computing Research Conference        Geoffrey Hinton and Yann LeCun Deliver Turing Lecture at FCRC 2019
			launch ⇗
			




			ACM	Special Interest Group on Artificial Intelligence				selects.acm.org
			launch ⇗
			




			ORNL.gov        Oak Ridge National Laboratory
			launch ⇗
			




			ANL.gov        Argonne National Laboratory
			launch ⇗
			




			Supercomputing.life
			launch ⇗
			




			GraphML.life    learning
			launch ⇗
			




			TeachML.life        Machine Teaching
			launch ⇗
			




			PubMed  Mastering the game of Go without human knowledge.
			launch ⇗
			




			Talks at Google    John Searle   ·   Consciousness in Artificial Intelligence
			launch ⇗
			




			Microsoft Research    Sequential Estimation of Quantiles with Applications to A/B-testing and Best-arm Identification
			launch ⇗
			




			CMU	Ian Waudby-Smith	Aaditya Ramdas      Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
			launch ⇗
			




			Genome.gov        NHGRI.life Scale of the Human Genome - Eric Green        Cystic Fibrosis Transmembrane Conductance Regulator (CFTR)        cff.org
			launch ⇗
			




			Nobel Lecture    Jennifer Doudna   ·   Nobel Prize in Chemistry 2020
			launch ⇗
			




			The Leakey Institute    Episode 37: From the Archive - Mary Leakey
			launch ⇗
			




			OpenMD.ai
			launch ⇗