Giacomo Indivieri
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Giacomo Indivieri
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Giacomo Indivieri
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1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology
1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology

Profile:

Giacomo Indivieri

Professor of Neuro-informaticsUniversity of Zurich

    Giacomo Indiveri is the director of the Institute of Neuroinformatics of the University of Zurich (UZH) and ETH Zurich, and a dual Professor of Neuromorphic Cognitive Systems at UZH and ETH Zurich. He obtained an M.Sc. degree in electrical engineering in 1992 and a Ph.D. degree in computer science in 2004 from the University of Genoa, Italy. Engineer by training, Indiveri has also expertise in neuroscience, computer science, and machine learning. He has been combining these disciplines by studying natural and artificial intelligence in neural processing systems and in neuromorphic cognitive agents. His latest research interests lie in the study of spike-based learning mechanisms and recurrent networks of biologically plausible neurons, and in their integration in real-time closed-loop sensory-motor systems designed using analog/digital circuits and emerging memory technologies. His group uses these neuromorphic circuits to validate brain inspired computational paradigms in real-world scenarios, and to develop a new generation of fault-tolerant event-based neuromorphic computing technologies. Indiveri is senior member of the IEEE society, and a recipient of the 2021 IEEE Biomedical Circuits and Systems Best Paper Award. He is also an ERC fellow, recipient of three European Research Council grants.