Results 11 to 20 of about 153 (43)
Single chip photonic deep neural network with accelerated training
, 2022 As deep neural networks (DNNs) revolutionize machine learning, energy consumption and throughput are emerging as fundamental limitations of CMOS electronics. This has motivated a search for new hardware architectures optimized for artificial intelligence,
Bandyopadhyay, Saumil +8 more
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An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats [PDF]
, 2022 We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed a method to encode neural correlates of mental activity as instructions for a quantum computer.
Hernani Morales, C. +5 more
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, 2023 Today, there are a plethora of In-Memory Computing (IMC) devices- SRAMs, PCMs & FeFETs, that emulate convolutions on crossbar-arrays with high throughput.
Bhattacharjee, Abhiroop +2 more
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Possible Applications of Quantum Computing, Especially in Vehicle Technology: A Review Article [PDF]
, 2022 Given the current trend in the development of quantum computing, it can be expected that it will revolutionize many areas of science, including vehicle technology.
Feszty, Dániel +2 more
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Fault Injection in Native Logic-in-Memory Computation on Neuromorphic Hardware
, 2023 Logic-in-memory (LIM) describes the execution of logic gates within memristive crossbar structures, promising to improve performance and energy efficiency.
Fetz, Thorben +6 more
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IMAC-Sim: A Circuit-level Simulator For In-Memory Analog Computing Architectures
, 2023 With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for machine learning applications, a tool that enables exploring their device- and circuit-level design ...
Amin, Md Hasibul +2 more
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Affinity-Division Multiplexing for Molecular Communications with Promiscuous Ligand Receptors
, 2023 A key challenge in Molecular Communications (MC) is low data transmission rates, which can be addressed by channel multiplexing techniques. One way to achieve channel multiplexing in MC is to leverage the diversity of different molecule types with ...
Araz, M. Okan +3 more
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Integrated Photonic AI Accelerators under Hardware Security Attacks: Impacts and Countermeasures
, 2023 Integrated photonics based on silicon photonics platform is driving several application domains, from enabling ultra-fast chip-scale communication in high-performance computing systems to energy-efficient optical computation in artificial intelligence ...
de Magalhães, Felipe Gohring +2 more
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Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs
, 2023 Ternary content addressable memory (TCAM), widely used in network routers and high-associativity caches, is gaining popularity in machine learning and data-analytic applications. Ferroelectric FETs (FeFETs) are a promising candidate for implementing TCAM
Amrouch, Hussam +4 more
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, 2022 Brain-inspired computing - leveraging neuroscientific principles underpinning the unparalleled efficiency of the brain in solving cognitive tasks - is emerging to be a promising pathway to solve several algorithmic and computational challenges faced by ...
M, Dhuruva Priyan G +2 more
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