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   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...

1  
   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...

2  
   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...

3  
  Analysis of COVID-19 tracking tool in India: case study of Aarogya Setu mobile application
Gupta R., Bedi M., Goyal P., Wadhera S., Verma V.  Digital Government: Research and Practice 1(4): 1-8, 2020. Type: Article, Reviews: (2 of 2)

Coronavirus, like cold and flu viruses, will perhaps remain prevalent in societies around the world, even with the available vaccinations and drug treatments. Despite the existing high-tech tools for tracking and preventing the spread of COVID-19,...

4  
  Analysis of COVID-19 tracking tool in India: case study of Aarogya Setu mobile application
Gupta R., Bedi M., Goyal P., Wadhera S., Verma V.  Digital Government: Research and Practice 1(4): 1-8, 2020. Type: Article, Reviews: (1 of 2)

Gupta et al. focus on the development of tests, methods, and reference data, and the reliability of information used in proximity sensing for health and safety-related software, such as the Aarogya Setu mobile application provided by the governmen...

5  
  Market engineering: insights from two decades of research on markets and information
Gimpel H., Neumann D., Seifert S., Veit D., Krämer J., Pfeiffer J., Teubner T., Weidlich A.,  Springer International Publishing, Cham, Switzerland, 2021. 253 pp. Type: Book (978-3-030666-60-6)

This special book is mostly devoted to honoring one person, who, thanks to his activity and outstanding ideas, was able to influence many people involved in widely understood information engineering, marketing engineering, market design, and servi...

6  
  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...

7  
   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...

8  
   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...

9  
  Here we go again: Why is it difficult for developers to learn another programming language?
Shrestha N., Botta C., Barik T., Parmin C.  Communications of the ACM 65(3): 91-99, 2022. Type: Article

It is common for programmers to switch programming languages--quite often, new work happens to involve a new programming language and the programmer has to just dive into it. Many have experienced this, along with the ups and downs involved.<...

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