Nanotechnology Now - Press Release: CEA-Leti Scientists Present In-Memory Computing Pathways for Edge-AI & Neural Networks with 3D Architectures & Resistive-RAM: Papers at IEDM 2020 Explore Ways to Leverage 3D Technology's Strengths For Lowering Device Energy Consumption and Energy Lost in Data Transmission
Our NanoNews Digest Sponsors Home > Press > CEA-Leti Scientists Present In-Memory Computing Pathways for Edge-AI & Neural Networks with 3D Architectures & Resistive-RAM: Papers at IEDM 2020 Explore Ways to Leverage 3D Technologys Strengths For Lowering Device Energy Consumption and Energy Lost in Data Transmission Abstract: CEA-Leti presented two papers this week at IEDM 2020 that confirm the advantages of combining 3D architectures and resistive-random-access-memories (RRAM) for in-memory computing (IMC), and their applications for Edge-AI and neural networks. The projects were designed to...
Source: nanotech-now.com