In-memory computing using a static random-access memory (SRAM)
PulseAugur coverage of In-memory computing using a static random-access memory (SRAM) — every cluster mentioning In-memory computing using a static random-access memory (SRAM) across labs, papers, and developer communities, ranked by signal.
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New IPZO architecture enhances SNN fine-tuning on IMC accelerators
Researchers have developed an Event-triggered Implicit Perturbation (IPZO) architecture to improve the efficiency of fine-tuning spiking neural networks (SNNs) on in-memory computing (IMC) accelerators. This new approac…
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New in-memory computing method boosts AI decision-making efficiency
Researchers have developed a novel in-memory computing (IMC) approach to significantly improve the energy efficiency of Monte Carlo Tree Search (MCTS), a core AI decision-making algorithm. By decomposing MCTS phases int…
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New ECRAM system accelerates edge continual learning, slashing energy use
Researchers have developed CLASP, a novel system designed to accelerate continual learning on edge devices by integrating in-memory computing (IMC) with a specialized ECRAM device. This approach addresses the significan…
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New FPGA Architecture Boosts ML Inference Efficiency
Researchers have developed a novel FPGA architecture called NIFA that enhances deep learning inference efficiency. This architecture integrates an ADC-free In-Memory Computing (IMC) block using analog content-addressabl…
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Modern analog computing paper explores AI and scientific applications
A new paper explores the advancements and applications of modern analog computing, particularly for solving differential and matrix equations. It highlights resistive memory arrays as a promising hardware implementation…