Evaluating economic opportunities for product recycling via the Sherwood principle and machine learning

Author(s):  
Sidi Deng ◽  
Xiaoyu Zhou ◽  
Aihua Huang ◽  
Yuehwern Yih ◽  
John W. Sutherland
2021 ◽  
Author(s):  
Creig Lamb ◽  
Matt Lo

The advent and rapid adoption of new technologies, such as machine learning and advanced robotics, have resurfaced concerns over technology eliminating jobs. Many now worry that more jobs are at risk than ever before. However, this debate all too often ignores the complexity of technology’s relationship to labour. Technological advancements throughout Canada’s history have helped to drive innovation and raise productivity, improve wealth and increase consumption, and give rise to entirely new industries and economic opportunities. As a result, in the long run technology has often helped to produce more jobs than it destroyed.


Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7572
Author(s):  
Mari Carmen Domingo

Currently, over a billion people, including children (or about 15% of the world’s population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in education, fewer economic opportunities, and higher rates of poverty. Artificial intelligence and 5G can make major contributions towards the assistance of people with disabilities, so they can achieve a good quality of life. In this paper, an overview of machine learning and 5G for people with disabilities is provided. For this purpose, the proposed 5G network slicing architecture for disabled people is introduced. Different application scenarios and their main benefits are considered to illustrate the interaction of machine learning and 5G. Critical challenges have been identified and addressed.


2021 ◽  
Author(s):  
Creig Lamb ◽  
Matt Lo

The advent and rapid adoption of new technologies, such as machine learning and advanced robotics, have resurfaced concerns over technology eliminating jobs. Many now worry that more jobs are at risk than ever before. However, this debate all too often ignores the complexity of technology’s relationship to labour. Technological advancements throughout Canada’s history have helped to drive innovation and raise productivity, improve wealth and increase consumption, and give rise to entirely new industries and economic opportunities. As a result, in the long run technology has often helped to produce more jobs than it destroyed.


2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  

Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols

Author(s):  
Shai Shalev-Shwartz ◽  
Shai Ben-David
Keyword(s):  

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