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1-10 of 33 results Date
Fifty years of P vs. NP and the possibility of the impossible
Fortnow L.  Communications of the ACM 65(1): 76-85, 2022. Type: Article

The P versus NP problem is one of the most fundamental and well-known unresolved questions in computer science. In comparison with the 2009 Communications article by the same author [1], the current survey is less about progress toward a so...

Aug 15 2022
Automation and autonomy: labour, capital and machines in the artificial intelligence industry
Steinhoff J.,  Palgrave Macmillan, Cham, Switzerland, 2021. 221 pp. Type: Book (978-3-030716-88-2), Reviews: (2 of 2)

The three foundational components of Marxist philosophies of economics and politics are listed in the title of this book: labor, capital, and machines. They are all affected by the growth of artificial intelligence (AI) and, especially, machine le...

Aug 8 2022
Essential discrete mathematics for computer science
Lewis H., Zax R.,  PRINCETON UNIVERSITY PRESS, Princeton, NJ, 2019. 388 pp. Type: Book (978-0-691179-29-2)

The authors have brilliantly and solidly achieved their aim “to teach reasoning as well as concepts and skills,” with a breadth that characterizes the scope of today’s computing science. Although the target audience is undergradu...

Aug 1 2022
Artificial intelligence and Its discontents: critiques from the social sciences and humanities
Hanemaayer A.,  Palgrave Macmillan, New York, NY, 2022. 290 pp. Type: Book (978-3-030886-14-1)

Stanley Kubrick’s 2001: A Space Odyssey opened in 1968, during a time when a general artificial intelligence (AI), embodied in the film’s HAL 9000 computer, was thought to be possible, if not achievable, by the year in the movie...

Jul 25 2022
Foundations of deep reinforcement learning: theory and practice in Python
Graesser L., Loon Keng W.,  Pearson, Boston, MA, 2019. 416 pp. Type: Book (978-0-135172-38-4)

Even for specialists well acquainted with more classical topics in machine learning, for example, plain supervised or unsupervised tasks (regression, classification, clustering, and the like), reinforcement learning (RL) can be quite challenging t...

Jul 18 2022
Statistics for data scientists: an introduction to probability, statistics, and data analysis
Kaptein M., van den Heuvel E.,  Springer International Publishing, Cham, Switzerland, 2022. 348 pp. Type: Book (978-3-030105-30-3)

One would hope that professionals calling themselves data scientists would have extensive training in both statistical theory and practice. Yet current data analytics curricula, while naturally including at least one general statistics course, oft...

Jul 11 2022
A world without email
Newport C.,  Penguin Random House, New York, NY, 2021. 320 pp. Type: Book (978-5-255365-58-6)

Intellectual work draws a lot from communication between collaborating parties. Speed and ease of communication have enormously improved--both qualitatively and quantitatively--in the course of the last decades. So, how come the day-to-d...

Jul 4 2022
Clean craftsmanship: disciplines, standards, and ethics
Martin R.,  Pearson, Columbus, OH, 2021. 416 pp. Type: Book (978-0-136915-71-3)

Software craftsmanship is a mindset that emphasizes technical excellence over mere execution. The author of this book, Robert C. Martin, commonly referred to as “Uncle Bob,” is one of the signatories of the manifesto on software crafts...

Jun 27 2022
A survey on end-edge-cloud orchestrated network computing paradigms: transparent computing, mobile edge computing, fog computing, and cloudlet
Ren J., Zhang D., He S., Zhang Y., Li T.  ACM Computing Surveys 52(6): 1-36, 2019. Type: Article

Recognizing the limits of (distant) cloud computing, modern Internet of things (IoT) architectures recognize the so-called edge continuum between cloud applications and IoT devices and machines. “Continuum” implies that “edgeR...

Jun 20 2022
Automation and autonomy: labour, capital and machines in the artificial intelligence industry
Steinhoff J.,  Palgrave Macmillan, Cham, Switzerland, 2021. 221 pp. Type: Book (978-3-030716-88-2), Reviews: (1 of 2)

This book is a Marxist critique of the impact that artificial intelligence (AI), specifically machine learning, will have on labor. It was originally a dissertation, which was modified for release as a book. This is problematic for a reviewer, as ...

Jun 13 2022
 
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