news 2020

Papers at IEDM 2020 Explore Ways to Leverage 3D Technology's Strengths For Lowering Device Energy Consumption and Energy Lost in Data Transmission -GRENOBLE, France - Dec. 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.

Invited paper at IEDM 2020 shows benefit of CEA-List's architectures in co-optimizing CEA-Leti's 3D toolbox to enable higher bandwidth & heterogeneity for high-performance processors. CEA Institutes Combine 3D Integration Technologies & Many-Core Architectures to Enable High-Performance Processors That Will Power Exascale Computing S AN FRANCISCO - Dec.

Sorbonne University Alliance Multidisciplinary research Mathematician Pascal Frey heads the Institute for Computational and Data Sciences (ISCD). Frey takes stock of ten years of interdisciplinary research and innovation around scientific computing, simulation and data analysis. The Institute is celebrating its tenth anniversary this year.

Artificial intelligence can make it possible to see astrophysical phenomena that were previously beyond reach. This has now been demonstrated by scientists from the CNRS, IRAM, Observatoire de Paris-PSL, Ecole Centrale Marseille and Ecole Centrale Lille, working together in the ORION-B 1 programme. In a series of three papers published in Astronomy & Astrophysics on 19 November 2020, they present the most comprehensive observations yet carried out of one of the star-forming regions closest to the Earth.

A team of interdisciplinary researchers has demonstrated that convex optimization is an effective mathematical and numerical tool for a daily estimate of the evolution of the reproductive number for Covid-19, over time and across regions. Monitoring the spread of the Covid-19 pandemic is one of the major challenges of the global health crisis.