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Found 6 papers, 1 papers with code
Analog Feedback-Controlled Memristor programming Circuit for analog Content Addressable Memory
With the proposed algorithm, the programming and the verification of a memristor can be performed in a single-direction sequential process.
High-Speed and Energy-Efficient Non-Volatile Silicon Photonic Memory Based on Heterogeneously Integrated Memresonator
Recently, interest in programmable photonics integrated circuits has grown as a potential hardware framework for deep neural networks, quantum computing, and field programmable arrays (FPGAs).
Experimentally realized memristive memory augmented neural network
Memory augmented neural network has been proposed to achieve the goal, but the memory module has to be stored in an off-chip memory due to its size.
Prospects for Analog Circuits in Deep Networks
Emerging dense non-volatile memory technologies can help to provide on-chip memory and analog circuits can be well suited to implement the needed multiplication-vector operations coupled with in-computing memory approaches.
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
We also present the PUMA compiler which translates high-level code to PUMA ISA.
Emerging Technologies Hardware Architecture
Long short-term memory networks in memristor crossbars
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence.
Emerging Technologies Applied Physics
