E = AI(2)
Breiling M, Kundu B, Reichenbach M (2021)
Publication Type: Journal article
Publication year: 2021
Journal
Pages Range: 30-31
Journal Issue: 125
Abstract
How small can we make the energy consumed by an artificial intelligence (AI) algorithm plus associated neuromorphic computing hardware for a given task? That was the theme of a German national competition on AI hardware-acceleration, which aimed to foster disruptive innovation. Twenty-seven academic teams, each made up of one or two partners from universities and research institutes, applied to enter the competition. Two of the eleven teams that were selected to enter were Fraunhofer IIS: ADELIA and Lo3-ML (the latter together with Friedrich- Alexander-University Erlangen-Nurnberg - FAU) [L1]. Finally Lo3-ML was one of the four national winners awarded by the German research minister Anja Karliczek for best energy efficiency.
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Involved external institutions
Germany (DE)How to cite
APA:
Breiling, M., Kundu, B., & Reichenbach, M. (2021). E = AI(2). ERCIM News, 125, 30-31.
MLA:
Breiling, Marco, Bijoy Kundu, and Marc Reichenbach. "E = AI(2)." ERCIM News 125 (2021): 30-31.
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