ARTIFICIAL INTELLIGENCE



Research team Artificial Intelligence, within the Devices group


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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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SPINTEC has currently several postdoc positions open to work on spintransfer-torque nano-oscillators based on magnetic tunnel junctions. Spintorque driven excitations within magnetic tunnel junctions show a large range of interesting, non-linear dynamic effects that are promising for low power implementations within wireless communication or unconventional computing systems. The different projects address at the same time […]

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On Wednesday July 5th 2023, we have the pleasure to welcome in SPINTEC Mark Stiles from NIST. He will give us a seminar at 14:00, entitled : Can magnetic tunnel junctions help make cognitive computing more efficient? Place : IRIG/SPINTEC, auditorium 445 CEA Building 10.05 (access to CEA needs pass (*)) visio link (**) : […]

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On Wednesday, March 15th 2023, we have the pleasure to welcome in SPINTEC Prof. Flavio Abreu Araujo from Institute of Condensed Matter and Nanosciences UCL Louvain. He will give us seminar at 16:00, entitled : Neuromorphic Spintronics: Doing more with less Place : SPINTEC Seminar, CEA Building 10.05 auditorium 445 (access needs authorization *) skype […]

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  SPINTEC is opening a tenured assistant professor/lecturer position in the field of frugal digital electronics, design of embedded systems, design of digital architectures in disruptive technologies (MCF section 61-63). The recruited person will carry out his research at SPINTEC Laboratory affiliated with UGA, CEA, CNRS, Grenoble INP-UGA in a very promising field, linked to […]

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