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architecture beyond the CMOS-based scheme and suitable energy-efficient hardware for the unconventional scheme is highly desired for future highly-integrated AI hardware on a chip. The French team at IEMN has
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
: The recruited person will be in connection with the hardware engineer recruited in parallel on task T3.3, who designs and fabricates the physical actuated phantom prototype, for the joint integration and
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researcher to develop next-generation methodologies for control design and dynamic stability assessment of converter-dominated AC, DC and hybrid AC/DC systems. Research topics include converter control design
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NVIDIA BlueField, AMD Pensando or similar. Driver Development: Develop and optimize Linux kernel modules and userspace drivers (DPDK) to manage flows. Hardware/Software Co-Design: Collaborate with optical
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the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in the Quantitative MRI research group
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
(health insurance, paid leave, restaurant subsidy, etc.). Access to Inria’s computing infrastructure and to the ĀnandaBot project’s dedicated hardware (GPU servers, robot platforms). Integration in a well
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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multimodal. Furthermore, law enforcement agencies cannot afford to share sensitive data with external parties, so methods must avoid external cloud APIs and be light enough to run on limited hardware. Your job