Wenshuo Yue
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View article: Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip
Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip Open
Computing‐in‐memory (CIM) architecture inspired by the hierarchy of human brain is proposed to resolve the von Neumann bottleneck and boost acceleration of artificial intelligence. Whereas remarkable progress has been achieved for CIM, mak…
View article: Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling
Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling Open
Markov chain Monte Carlo (MCMC) is a widely used sampling method in modern artificial intelligence and probabilistic computing systems. It involves repetitive random number generations and thus often dominates the latency of probabilistic …
View article: Probabilistic Compute-in-Memory Design For Efficient Markov Chain Monte Carlo Sampling
Probabilistic Compute-in-Memory Design For Efficient Markov Chain Monte Carlo Sampling Open
Markov chain Monte Carlo (MCMC) is a widely used sampling method in modern artificial intelligence and probabilistic computing systems. It involves repetitive random number generations and thus often dominates the latency of probabilistic …
View article: Integrated Memristor Network for Physiological Signal Processing
Integrated Memristor Network for Physiological Signal Processing Open
Humans are complex organisms made by millions of physiological systems. Therefore, physiological activities can represent physical or mental states of the human body. Physiological signal processing is essential in monitoring human physiol…