Machine learning plays a critical role in extracting meaningful information out of the
zetabytes of sensor data collected every day. For some applications, the goal is to analyze …

Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …

This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …

COVID-19 is now regarded as the most lethal disease caused by the novel coronavirus
disease of humans. The COVID-19 pandemic has spread to every country on the planet and …

2017-08-09 Assigned to INTEL CORPORATION reassignment INTEL CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …

Student attendance is essential in the learning process. To record student attendance,
several ways can be done; one of them is through student signatures. The process has …

Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks
(CNN). However, CNNs have massive compute demands that far exceed the performance …

Recently, deep learning (DL) has become best-in-class for numerous applications but at a
high computational cost that necessitates high-performance energy-efficient acceleration …

Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI)
applications including computer vision, speech recognition, and robotics. While DNNs …

Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL
TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL …