Towards efficient in-memory computing architecture Remarkable advances in machine learning and artificial intelligence have been made in various domains, achieving near-human performance in a plethora of cognitive tasks including vision, speech and natural language processing. Read More about Towards efficient in-memory computing architecture
Emerging non-volatile memory for machine learning training acceleration Emerging non-volatile memories (NVMs) have exhibited great potential for accelerating machine learning (ML) computation. Read More about Emerging non-volatile memory for machine learning training acceleration
Stochastic Spintronics for Scalable AI Acceleration The significant energy consumption and latency of AI processing can be primarily attributed to the von Neumann memory bottleneck in today’s computers. Read More about Stochastic Spintronics for Scalable AI Acceleration