MIT Open Access Articles: Recent submissions
Now showing items 1-3 of 32150
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CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks
(Institute of Electrical and Electronics Engineers (IEEE), 2018-12)This paper presents an energy-efficient static random access memory (SRAM) with embedded dot-product computation capability, for binary-weight convolutional neural networks. A 10T bit-cell-based SRAM array is used to store ... -
Conv-RAM: An Energy-efficient SRAM with Embedded Convolution Computation for Low-power CNN based Machine Learning Applications
(Institute of Electrical and Electronics Engineers (IEEE), 2018-03)Convolutional neural networks (CNN) provide state-of-the-art results in a wide variety of machine learning (ML) applications, ranging from image classification to speech recognition. However, they are very computationally ... -
eeDTLS: Energy-Efficient Datagram Transport Layer Security for the Internet of Things
(Institute of Electrical and Electronics Engineers (IEEE), 2018-01)In the fast growing world of the Internet of Things (IoT), security has become a major concern. Datagram Transport Layer Security (DTLS) is considered to be one of the most suited protocols for securing the IoT. However, ...
