Integrated Architecture for Neural Networks and Security Primitives using RRAM Crossbar
, 2023 This paper proposes an architecture that integrates neural networks (NNs) and hardware security modules using a single resistive random access memory (RRAM) crossbar.
Chattopadhyay, Anupam +6 more
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Scalable Multiuser Immersive Communications with Multi-numerology and Mini-slot
, 2023 This paper studies multiuser immersive communications networks in which different user equipment may demand various extended reality (XR) services. In such heterogeneous networks, time-frequency resource allocation needs to be more adaptive since XR ...
Hu, Ming +3 more
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Design Space Exploration for PCM-based Photonic Memory
, 2023 The integration of silicon photonics (SiPh) and phase change materials (PCMs) has created a unique opportunity to realize adaptable and reconfigurable photonic systems.
Charbonnier, Benoit +3 more
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On Interfacing the Brain with Quantum Computers: An Approach to Listen to the Logic of the Mind [PDF]
, 2020 Miranda, ER
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SerIOS: Enhancing Hardware Security in Integrated Optoelectronic Systems
, 2023 Silicon photonics (SiPh) has different applications, from enabling fast and high-bandwidth communication for high-performance computing systems to realizing energy-efficient optical computation for AI hardware accelerators. However, integrating SiPh with
de Magalhaes, Felipe Gohring +2 more
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Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation
, 2023 Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density and non-volatility.
George, Sumitha +9 more
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Integration of Physics-Derived Memristor Models with Machine Learning Frameworks
Simulation frameworks such MemTorch, DNN+NeuroSim, and aihwkit are commonly used to facilitate the end-to-end co-design of memristive machine learning (ML) accelerators.
Menzel, Stephan +3 more
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[DC] bRight XR: How to train designers to keep on the bright side?
This research project aims to promote ethical principles among designers engaged in adaptive-XR by providing tools for self-assessment. We introduce a Design-Based Research (DBR) methodology to build bRight-XR, a framework including a heuristic ...
Bourguignon, David +2 more
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Scaling-up Memristor Monte Carlo with magnetic domain-wall physics
, 2023 By exploiting the intrinsic random nature of nanoscale devices, Memristor Monte Carlo (MMC) is a promising enabler of edge learning systems. However, due to multiple algorithmic and device-level limitations, existing demonstrations have been restricted ...
Dalgaty, Thomas +10 more
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Green growth - Mirage or reality? (Europe 2020. A promising strategy?) [PDF]
, 2010 Csaba, László
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