Brain intelligence: go beyond artificial intelligence

H Lu, Y Li, M Chen, H Kim, S Serikawa - Mobile Networks and Applications, 2018 - Springer
Artificial intelligence (AI) is an important technology that supports daily social life and
economic activities. It contributes greatly to the sustainable growth of Japan's economy and …

Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead

M Capra, B Bussolino, A Marchisio, G Masera… - IEEE …, 2020 - ieeexplore.ieee.org
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning
(DL) is already present in many applications ranging from computer vision for medicine to …

[PDF][PDF] Scary dark side of artificial intelligence: A perilous contrivance to mankind

G Kumar, G Singh, V Bhatanagar… - Humanities & Social …, 2019 - pdfs.semanticscholar.org
Abstract Purpose of Study: The purpose of the study is to investigate the dark side of artificial
intelligence followed by the question of whether AI is programmed to do something …

Fleet: Flexible efficient ensemble training for heterogeneous deep neural networks

H Guan, LK Mokadam, X Shen… - … of Machine Learning …, 2020 - proceedings.mlsys.org
Parallel training of an ensemble of Deep Neural Networks (DNN) on a cluster of nodes is an
effective approach to shorten the process of neural network architecture search and hyper …

Exploring the prospects of using artificial intelligence in education

ZY Liu, E Yushchik - Cogent Education, 2024 - Taylor & Francis
The primary objective is to investigate the potential applications of AI in education to
enhance its quality and elevate students' knowledge levels. A comprehensive experiment …

MemBox: Shared Memory Device for Memory-Centric Computing Applicable to Deep Learning Problems

Y Choi, E Lim, J Shin, CH Lee - Electronics, 2021 - mdpi.com
Large-scale computational problems that need to be addressed in modern computers, such
as deep learning or big data analysis, cannot be solved in a single computer, but can be …

[PDF][PDF] Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

M SHAFIQUE - arxiv.org
ABSTRACT Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep
Learning (DL) is already present in many applications ranging from computer vision for …