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TU Graz Bundles Its Strengths in Biotechnology and Artificial Intelligence

TU Graz Bundles Its Strengths in Biotechnology and Artificial Intelligence
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Robert kouristRobert peharzRegina kratzerGustav oberdorferGraz university of technology tuInstitute of biochemistryInstitute of molecular biotechnologyInstitute of biotechnologyInstitute of theoretical computer scienceRector for researchGraz universityMolecular biotechnologyTheoretical computer

Neuromorphic chips more energy efficient for deep learning

Neuromorphic chips more energy efficient for deep learning
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Deepmind alphagoMike daviesAlan priestleyGraz university of technology tuInstitute of theoretical computer scienceIntel neuromorphic computing labTu graz institute of theoretical computer scienceTheoretical computer scienceGraz universityIntel labsLong short term memorySpike based neuromorphic hardwareNature machine intelligencePhilipp plankHuman brain projectNeuromorphic computing lab

Energy Efficiency of Neuromorphic Hardware Practically Proven

Energy Efficiency of Neuromorphic Hardware Practically Proven
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Steve furberWolfgang maassEuropean unionInstitute of theoretical computer scienceResearch infrastructureUniversity of manchesterTu graz institute of theoretical computer scienceHuman brain projectNature machinePhilipp plankTheoretical computer scienceComputer engineeringIntel loihiHuman brain

Spiking Neural Networks | Simons Institute for the Theory of Computing

by Anil Ananthaswamy (Simons Institute Science Communicator in Residence) In August 2014, a significant advance in computing made the cover of the journal Science. It was IBM’s 5.4 billion-transistor chip that had a million hardware neurons and 256 million synapses. Algorithms running on this “neuromorphic” chip, when fed a video stream, could identify multiple objects, such

United statesBaden wübergCity ofUnited kingdomNoord hollandHesham mostafaTechnische universitSander bohteGuillaume bellecSteven esserTim lillicrapEmre neftciDan goodmanFriedemann zenkeTim vogelsChristian pehle