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cs.AI2026
CondMSP: Condition-Informed and Resource-Aware Inorganic Materials Synthesis Planning
Heewoong Noh, Gyoung S. Na, Elton Pan +2
Materials synthesis planning (MSP) connects AI-driven materials discovery to experimental realization by proposing precursors, synthesis operations, and processing conditions for a…
cs.CV2026
From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet
Radib Bin Kabir, Tawsif Tashwar Dipto, Mehedi Ahamed +2
Spiking Neural Networks (SNNs) are increasingly studied as energy-efficient alternatives to Convolutional Neural Networks (CNNs), particularly for edge intelligence. However, prior…