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Understand, manage, and prevent algorithmic bias: a guide for business users and data scientists
Baer T., Apress, New York, NY, 2019. 260 pp. Type: Book (978-1-484248-84-3)
This is one of the most enlightening books about the hidden risks of applying machine learning techniques, and particularly algorithms, in decision making. The book unveils the many potential sources of algorithmic bias, raising serious questions ...
Artificial intelligence and inclusive education: speculative futures and emerging practices
Knox J., Wang Y., Gallagher M., Springer International Publishing, New York, NY, 2019. 206 pp. Type: Book
The recent foray of artificial intelligence (AI) applications into the domain of education has generated both excitement and concern among experts.
Artificial intelligence and inclusive education
, edited by Jeremy Knox, Yuchen Wang, and Mic...
The physics of quantum information: quantum cryptography, quantum teleportation, quantum computation
Bouwmeester D., Ekert A., Zeilinger A. Springer-Verlag, London, UK, 2000. Type: Divisible Book
A century ago, the discovery of quantum mechanics initiated a revolution in physics that challenged many deeply-held intuitions. Within the last 20 years, the application of quantum mechanics to computation has opened the door to a similar revolu...
The blockchain developer: a practical guide for designing, implementing, publishing, testing, and securing distributed blockchain-based projects
Elrom E., Apress, New York, NY, 2019. 532 pp. Type: Book (978-1-484248-46-1)
“Blockchain” and “cryptocurrency” are now common terms in news headlines. They promise a huge revolution--not only in the finance sector, but also in other activities--by removing intermediaries. This book gives a...
Introduction to formal philosophy
Kjeldahl E., Hansson S., Hendricks V., Springer Publishing Company, Incorporated, New York, NY, 2018. 733 pp. Type: Book (978-3-319774-33-6)
The physicist Richard Feynman, famed in nonscientific circles for his autobiographical books describing his scientific adventures, as well as some of his more popularly accessible lectures in physics (originally delivered to undergraduate classes ...
Learning from human-robot interactions in modeled scenes
Murnane M., Breitmeyer M., Ferraro F., Matuszek C., Engel D. SIGGRAPH 2019 (ACM SIGGRAPH 2019 Posters, Los Angeles, CA, Jul 28, 2019) 1-2, 2019. Type: Proceedings
Usually robots are checked and tested in virtual environments before delivering them to the real world. In this poster, however, the robot is only virtual, and users interacting with it are also rendered in virtual reality....
Embedded EthiCS: integrating ethics across CS education
Grosz B., Grant D., Vredenburgh K., Behrends J., Hu L., Simmons A., Waldo J. Communications of the ACM 62(8): 54-61, 2019. Type: Article
Motivated by a plethora of exemplary “intelligent” information enterprises, this article presents results related to Embedded EthiCS, “a Harvard-based pilot program [that] integrates class sessions on ethical reasoning into cours...
Joint online coflow routing and scheduling in data center networks
Tan H., Jiang S., Li Y., Li X., Zhang C., Han Z., Lau F. IEEE/ACM Transactions on Networking 27(5): 1771-1786, 2019. Type: Article
With the proliferation of big data initiatives across corporations and academia, the importance of distributed computing frameworks has created many research opportunities related to routing and scheduling the multiple groups of parallel flows gen...
Adversarial machine learning
Joseph A., Nelson B., Rubinstein B., Tygar J., Cambridge University Press, New York, NY, 2019. 338 pp. Type: Book (978-1-107043-46-6)
Machine learning is behind many of the systems we typically use, both online and offline, and behind even more of the systems we might use in the future. Given their economic importance, they attract attackers who might be interested in interferin...
Identifying pathways to computer science: the long-term impact of short-term game programming outreach interventions
Lakanen A., Kärkkäinen T. ACM Transactions on Computing Education (TOCE) 19(3): 1-30, 2019. Type: Article
There is a consensus in computer science (CS) education that student numbers are not growing; furthermore, the number of female students is still very low. This situation attracts considerable research, and this article supports similarly themed r...
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