Search Results - "Roy, Kaushik"
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X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories
Published in IEEE transactions on circuits and systems. I, Regular papers (01-12-2018)“…Silicon-based static random access memories (SRAM) and digital Boolean logic have been the workhorse of the state-of-the-art computing platforms. Despite…”
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Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
Published in Scientific reports (28-08-2018)“…The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration…”
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3
8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing
Published in IEEE transactions on very large scale integration (VLSI) systems (01-11-2019)“…Large-scale digital computing almost exclusively relies on the von Neumann architecture, which comprises separate units for storage and computations. The…”
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4
Logistics of the First Anglo-Burma War, 1824-1826
Published in Journal of imperial and Commonwealth history (02-09-2024)“…One of the principal props of British imperialism in South Asia was the British Imperial Army in India. Logistics was important for supplying and transporting…”
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5
A Vision for All-Spin Neural Networks: A Device to System Perspective
Published in IEEE transactions on circuits and systems. I, Regular papers (01-12-2016)“…Spin-transfer torque (STT) mechanisms in vertical and lateral spin valves and magnetization reversal/domain wall motion with spin-orbit torque (SOT) have…”
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STDP-Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01-04-2019)“…Spiking neural networks (SNNs) with a large number of weights and varied weight distribution can be difficult to implement in emerging in-memory computing…”
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7
Inclusive prompt photon production in electron-nucleus scattering at small x
Published in The journal of high energy physics (01-05-2018)“…A bstract We compute the differential cross-section for inclusive prompt photon production in deeply inelastic scattering (DIS) of electrons on nuclei at small…”
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Design Space Exploration of Hysteresis-Free HfZrOx-Based Negative Capacitance FETs
Published in IEEE electron device letters (01-08-2017)“…In this letter, we investigate the design space of hysteresis-free negative capacitance FETs (NCFETs) by performing a cross-architecture analysis using HfZrO x…”
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Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets
Published in IEEE transactions on biomedical circuits and systems (01-12-2016)“…Non-Boolean computing based on emerging postCMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on…”
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10
1T Non-Volatile Memory Design Using Sub-10nm Ferroelectric FETs
Published in IEEE electron device letters (01-03-2018)“…In this letter, we propose one-transistor ferroelectric NOR type (Fe-NOR) non-volatile memory based on HfZrOx ferroelectric FETs (FeFETs). The enhanced…”
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11
Artificial Intelligence, Warfare and Ethics in India
Published in Journal of military ethics (02-04-2024)“…In the second decade of the new millennium, artificial intelligence (AI) became a catchword among senior politicians and the military officers of India. Indian…”
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12
Small Wars and Pacification in the British Empire: A Case Study of Lushai Hills, 1850-1900
Published in Journal of imperial and Commonwealth history (04-03-2023)“…The British Empire was at the height of its power in the late nineteenth century. Most scholars focus on imperial expansion. However, not much light has been…”
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13
Neuro-Ising: Accelerating Large-Scale Traveling Salesman Problems via Graph Neural Network Guided Localized Ising Solvers
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01-12-2022)“…One of the most extensively studied combinatorial optimization problems is the Travelling Salesman Problem (TSP). Considerable research efforts in the past…”
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14
RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01-02-2021)“…Resistive crossbars designed with nonvolatile memory devices have emerged as promising building blocks for deep neural network (DNN) hardware, due to their…”
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DIET-SNN: A Low-Latency Spiking Neural Network With D irect I nput E ncoding and Leakage and T hreshold Optimization
Published in IEEE transaction on neural networks and learning systems (01-06-2023)“…Bioinspired spiking neural networks (SNNs), operating with asynchronous binary signals (or spikes) distributed over time, can potentially lead to greater…”
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Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How)
Published in IEEE intelligent systems (01-01-2024)“…The rapid progression of artificial intelligence (AI) systems, facilitated by the advent of large language models (LLMs), has resulted in their widespread…”
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IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array
Published in IEEE transactions on circuits and systems. I, Regular papers (01-08-2020)“…'In-memory computing' is being widely explored as a novel computing paradigm to mitigate the well known memory bottleneck. This emerging paradigm aims at…”
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18
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Published in IEEE access (2020)“…Deep convolutional neural network (DCNN) based supervised learning is a widely practiced approach for large-scale image classification. However, retraining…”
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19
Spin-Transfer Torque Memories: Devices, Circuits, and Systems
Published in Proceedings of the IEEE (01-07-2016)“…Spin-transfer torque magnetic memory (STT-MRAM) has gained significant research interest due to its nonvolatility and zero standby leakage, near unlimited…”
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20
Neurosymbolic Artificial Intelligence (Why, What, and How)
Published in IEEE intelligent systems (01-05-2023)“…Humans interact with the environment using a combination of perception-transforming sensory inputs from their environment into symbols, and cognition-mapping…”
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