Loihi is a 60-mm(2) chip fabricated in Intel's 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon. It integrates a wide range of novel features for the field, such as hierarchical connectivity, dendritic compartments, synaptic delays, and, most importantly, programmable synaptic learning rules. Running a spiking convolutional form of the Locally Competitive Algorithm, Loihi can solve LASSO optimization problems with over three orders of magnitude superior energy-delay product compared to conventional solvers running on a CPU isoprocess/voltage/area. This provides an unambiguous example of spike-based computation, outperforming all known conventional solutions.
机构:
Technion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, IsraelTechnion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, Israel
Beck, Amir
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Teboulle, Marc
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Tel Aviv Univ, Sch Math Sci, IL-69978 Tel Aviv, IsraelTechnion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, Israel
机构:
Technion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, IsraelTechnion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, Israel
Beck, Amir
;
Teboulle, Marc
论文数: 0引用数: 0
h-index: 0
机构:
Tel Aviv Univ, Sch Math Sci, IL-69978 Tel Aviv, IsraelTechnion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, Israel