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SRAM Design with Embedded XNOR Functionality for Binary and Ternary Neural Networks

Background Deep neural networks, and in particular convolutional neural networks, are being used with increasing frequency for a number of tasks such as image classification, image clustering, and object recognition. In a forward propagation of a conventional convolutional neural network, a kernel is passed over one or more tensors to produce one or...

Published: 2/15/2024 | Inventor(s): Jae-Sun Seo, Shihui Yin, Mingoo Seok, Zhewei Jiang

Keywords(s):

Category(s): Physical Science, Computing & Information Technology

Programmable In-Memory Computing Accelerator for Low-Precision Deep Neural Network Inference

Background In the era of artificial intelligence, various deep neural networks (DNNs), such as multi-layer perceptron, convolutional neural networks, and recurrent neural networks, have emerged and achieved human-level performance in many recognition tasks. These DNNs usually require billions of multiply-and-accumulate (MAC) operations, soliciting...

Published: 2/23/2023 | Inventor(s): Jae-Sun Seo, Shihui Yin, Mingoo Seok, Bo Zhang

Keywords(s): Artificial Intelligence, Circuits, Computational Machine, Electronics, Machine Learning

Category(s): Physical Science, Computing & Information Technology, Intelligence & Security