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.
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.
- SPINBRAIN (2020-2022) – Spintronic-based Neural Network
- HANS, UGA (2019-2022) –
- Thales TRT
- SpinSpike – An ANR project (January 19th, 2021)
SpinSpike stands for Spintronic Spiking Neurons. It is a 42-month-long ANR project (2021/2024). Spintronics has recently shown its promise for neuromorphic computing, but is lacking an essential ingredient of biological neural networks: spiking neurons. In this ...
- Philippe Talatchian joins SPINTEC (December 17th, 2020)
Philippe Talatchian arrives at SPINTEC as CEA research engineer on December 10, 2020 to strengthen the artificial intelligence team in the design and experimental realization of neuromorphic spintronic devices. Philippe is bringing to Spintec an ...
- Post-doctoral position – Spintronic Spiking Neurons (December 07th, 2020)
In the frame of the French national ANR project SpinSpike, Spintec laboratory is opening a postdoctoral researcher position. The candidate will work in collaboration with UMPhy CNRS-Thales and Thales TRT. The objective is the realization ...
- Masters thesis projects for Spring 2021 (September 15th, 2020)
You find here the list of proposals for Master-2 internships to take place at Spintec during Spring 2021. In most cases, these internships are intended to be suitable for a longer-term PhD work. Interested Master-1 ...
- Recruiting a Research Scientist on spintronic neuromorphic computing (June 11th, 2020)
Spintec Positioned at the crossroad of science and technology, SPINTEC (SPINtronique et TEchnologie des Composants, http://www.spintec.fr) is one of the leading spintronics research laboratories worldwide. SPINTEC was created in 2002 and rapidly expanded to currently reach ...