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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) | Versailles, Île-de-France | France | 20 days ago
: implementing the QML-IDS on the NGN team's 5G core testbed, integrating quantum simulation frameworks (PennyLane, Qiskit, Cirq) under real-time constraints. Algorithm design: developing and evaluating QML
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experience in algorithm, computer and microcontroller programming or FPGA programming. An experience in some following topics such as laser fault injection and/or laser thermal stimulation, photo
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languages ( e.g. , Python, C++) for algorithm development, simulation, and data analysis Background in real-time signal processing ( e.g. , time-series data, filtering, feature extraction
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 14 days ago
algorithm to triangulate the implicit solution surface of these equations. For further information on the proposed research topic: A state-of-the-art review, bibliography, and scientific references are
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algorithm-hardware co-design of adaptive Transformer architectures using ReRAM analog in-memory computing. Using PyTorch and in-house ReRAM characterization data, you will develop reference models and
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initially focus on algorithm development and simulation. Starting from reference methods, you will evaluate different strategies and progressively incorporate realistic ReRAM device characteristics
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Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning that sparsely updates network state and parameters in complex reasoning scenarios. Explore hardware
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will involve: - Understanding the various sensors. - Implementing a calibration algorithm using AI-based methods. - Adopting a rigorous scientific approach to validate the relevance of the proposed