Author

Aishwarya Natarajan

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Jul 2026

Multi-primitive in-memory computing for Monte Carlo tree search

Monte Carlo tree search (MCTS) enables artificial intelligence (AI) decision-making, but requires 55-300 W on conventional processors, limiting edge deployment. In-memory computing (IMC) is energy-efficient on regular workloads but has been considered incompatible with irregular multi-phase algorithms. We introduce pha...

Tergel Molom-Ochir, Benjamin F. Morris, Yin-Tao He et al. · arXiv.org · 0 citations

Jul 2026

A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks

An open-source hardware-aware simulation framework for mixed-signal SNNs that enables comparative analysis across neuron, synapse and architecture choices and helps identify neuron-synapse configurations that best satisfy application-specific constraints on accuracy, energy efficiency, area and hardware fidelity.

Sayma Nowshin Chowdhury, V. Nair, Taseen Forhad et al. · arXiv.org · 0 citations