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Published in December 2017   Authors Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer Abstract Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on…

Published in August 2019   Authors J. Chen and X. Ran Abstract Deep learning is currently widely used in a variety of applications, including computer vision and natural language processing. End devices, such as smartphones and Internet-of-Things sensors, are generating data that need to…

Published in November 2019   Authors J. Park, S. Samarakoon, M. Bennis and M. Debbah Abstract Fueled by the availability of more data and computing power, recent breakthroughs in cloud-based machine learning (ML) have transformed every aspect of our lives from face recognition and…

Published in October 2019   Authors G. Cheng, E. Dean-Leon, F. Bergner, J. R. Guadarrama Olvera, Q. Leboutet, and P. Mittendorfer Abstract This article presents a holistic approach to the engineering of an artificial robot skin for robots. An example of a multimodal skin…

Published in April 2019   Authors Xiuquan Qiao, Pei Ren, Schahram Dustdar, Ling Liu, Huadong Ma, and Junliang Chen Abstract Mobile augmented reality (Mobile AR) is gaining increasing attention from both academia and industry. Hardware-based Mobile AR and App-based Mobile AR are the two…

Published in January 2015   Authors Diego Kreutz, Fernando M. V. Ramos, Paulo Esteves Veríssimo, Christian Esteve Rothenberg, Siamak Azodolmolky, and Steve Uhlig Abstract The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from…

Published in January 2016   Authors Michael K. K. Leung, Andrew Delong, Babak Alipanahi, and Brendan J. Frey Abstract In this paper, we provide an introduction to machine learning tasks that address important problems in genomic medicine. One of the goals of genomic medicine…