On Monday, April 29th 2023, we have the pleasure to welcome in SPINTEC Advait Madhavan from University of Maryland. He will give us a seminar at 14:00 entitled : Novel information encoding schemes for energy efficient cognitive computing Place : IRIG/SPINTEC, auditorium 445 CEA Building 10.05 (access to CEA requires an entry authorization. Request it […]

Context: In the frame of the CEA (PTC-ID) project SpinTrain, Spintec laboratory is opening a postdoctoral researcher position. The candidate will work on stochastic magnetic tunnel junctions grown and fabricated at Spintec, and will use them to explore brain-inspired schemes promising for building energy-efficient computing hardware. The project will have a strong interdisciplinary aspect (Spintronic, […]

Context: The last decade has seen the emergence of numerous studies around integrated nanoelectronic technologies for a growing number of application areas, ranging from the Internet of Things, to integrated components specialized in the management and optimization of energy consumption, environmental monitoring, safety and security in the automotive and space industries, support and control in […]

One PhD position and one 12 months postdoc position are available for the following topic. Spintronics concepts and devices, such as magnetic tunnel junctions, offer novel low power hardware approaches for implementing unconventional computing schemes. Some of these make use of the phase dynamics of spintronics oscillators that have the capability to convert a DC […]

On Wednesday March 13th 2024, we have the pleasure to welcome in SPINTEC Tristan da Câmara presently at Université Catholique de Louvain la Neuve. He will give us a seminar on his work done in Lab. Albert Fert, Univ. Paris-Saclay at 14:00 entitled : Neuromorphic weighted sum with magnetic skyrmions Place : IRIG/SPINTEC, auditorium 445 […]

On Friday February 16th, at 14:00 Louis Farcis (SPINTEC) will defend in English his PhD thesis entitled : MRAM based neuromorphic cell for Artificial Intelligence Place : IRIG/SPINTEC, CEA Building 10.05, auditorium 445 (access needs authorization request it before February 5th to admin.spintec@cea.fr) video conference : https://grenoble-inp.zoom.us/j/94805219154 Passcode: 980674 Abstract : The rapid evolution of […]

We study recurrent networks of binary stochastic Magnetic Tunnel Junctions (sMTJ), aiming at efficiently solving computationally hard optimization problems. After validating a prototyping route, we investigate the impact of hybrid CMOS+MTJ building block variants on the quality of stochastic sampling, a key feature for optimum search in a complex landscape. We carry out a functional […]

Bayesian NN (BayNN) using Dropout-based approximation provides a systematic approach for estimating the uncertainty of predictions. Despite such merit, they are not suitable for implementation in an embedded device and in most cases cannot meet high-performance demands for certain applications. Computation in-memory (CiM) architecture with spintronics emerging non-volatile memories (NVMs) is a great candidate for […]

Context The automated resolution of cognitive tasks primarily relies on learning algorithms applied to neural networks which, when executed on standard CMOS based digital architectures, lead to a power consumption several orders of magnitude larger than what the brain would require. Moreover, Conventional Edge neural network solutions can only provide output predictions, lacking the ability […]

On Monday September 04th, at 14:00, Manon DAMPFHOFFER (SPINTEC) will defend her PhD thesis entitled : Models and algorithms for implementing energy-efficient spiking neural networks on neuromorphic hardware at the edge Place : GreEn-ER – Grenoble INP- Ense3, amphi 2A006 zoom link : https://grenoble-inp.zoom.us/j/3741741553 ID : 374 174 1553 Password : 062839 Abstract : Deep […]