ARTIFICIAL INTELLIGENCE

Overview

The team is dedicated to the evaluation of the benefits of using magnetic devices in Integrated Circuits (ICs). It is expected that integrating non-volatility in ICs could contribute to push forward the incoming limits in the microelectronics scaling. This work includes integrating the magnetic devices in standard design tools, design hybrid circuits and evaluate their performance for various applications. The unique combination of advantages of spintronics devices (non-volatility associated with high speed and endurance, analogue capabilities, well controlled stochastic behavior…) allows intrinsically mixing the memory and logic functionalities (in Memory Computing). This opens the way towards new computing paradigms, beyond the standard Von-Newman architecture of computing systems. The  most interesting applications addressed in the team are described below.

Research topics

Artificial intelligence

Spiking Neural Networks are seen as a Key building block for strongly improving the energy efficiency of current AI applications and opening up new possibilities (in terms of unsupervised learning, recurrent networks, probabilistic inference, etc.). The scientific challenges to be tackled are the following: the first one is to define power-constrained learning and inference algorithms (online, supervised, unsupervised, probabilistic, etc.). The second one is to design a scalable and flexible SNN architecture, adaptable to the different above-mentioned algorithms, and fabricate that circuit in hybrid nanoscale CMOS and NVM technology, enabling very dense synaptic density. The last objective is to derive a principled toolchain for the algorithm, design, development, and integration of spiking neural networks for future adoption in industrial health and automotive embedded applications.

The team

Projects

Present

  • SPINBRAIN (2020-2022) – Spintronic-based Neural Network
  • HANS, UGA (2019-2022) –

Former members

 

Former projects

Partners

  • TIMA
  • IEF
  • LETI
  • Thales TRT

Recent news

  • Lorena ANGHEL joins SPINTEC (June 05th, 2020)Lorena ANGHEL joins SPINTEC
    We are pleased to announce the arrival on June 1st, 2020 at SPINTEC, within the Spintronics IC design team of Lorena ANGHEL, professor at Grenoble INP / PHELMA, currently deputy director in charge of Research ...
  • Seminar – Reservoir Computing with Random Magnetic Textures (November 13th, 2019)Seminar - Reservoir Computing with Random Magnetic Textures
    On November 20th at 11:00, we have the pleasure to welcome Daniele Pinna from Johannes Gutenberg University. He will give us a seminar at CEA/SPINTEC (*) Bat 1005, room 445, entitled : Reservoir Computing with Random ...
  • Seminar – Dynamics and oscillations in spintronic neural nets (October 03rd, 2019)Seminar - Dynamics and oscillations in spintronic neural nets
    On Thursday October 17 at 11:00 we have the pleasure to welcome Julie Grollier from Unité Mixte de Physique CNRS/Thales. She will give us a seminar at CEA/SPINTEC, Bat 1005, room 434A entitled : Dynamics and ...
  • Masters thesis projects for Spring 2020 (September 30th, 2019)Masters thesis projects for Spring 2020
    You find here the list of proposals for Master-2 internships to take place at Spintec during Spring 2020. In most cases, these internships are intended to be suitable for a longer-term PhD work. Interested Master-1 ...
  • Seminar – Brownian computing using skyrmions (June 13th, 2019)Seminar - Brownian computing using skyrmions
    On Friday July 12 at 11:00 we have the pleasure to welcome Prof. Yoshishige SUZUKI from Osaka University. He will give us a seminar at CEA/IRIG, Bat 1005, room 445 entitled : Brownian computing using skyrmions We ...

Publications

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