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	These reviews are the most popular with readers.   Options: All Media Types Journals Proceedings Div Books Whole Books Other Ranking Date Reviewed Title Author Published Date Descending Ascending For the last: 30 days 60 days 90 days 6 months 1 year all time     1-10 of 16263 results Ranking   Why academics under-share research data: a social relational theory Mattern J., Kohlburn J., Moulaison-Sandy H. The Journal of the Association for Information Science and Technology (JASIST) 75(9): 988-1001, 2024.  Type: Article As an academic, I have cheered for and welcomed the open access (OA) mandates that, slowly but steadily, have been accepted in one way or another throughout academia. It is now often accepted that public funds means public research. Many of our un... 1     Private crypto versus public digital Cusumano M. Communications of the ACM 67(10): 22-25, 2024.  Type: Article Money is a representation of wealth. A US dollar represents a fraction of the total wealth of the country. This definition underlies any discussion of currency, whether physical cash or digital tokens. Gold and silver have traditionally been used ... 2      Shortcut learning of large language models in natural language understanding Du M., He F., Zou N., Tao D., Hu X. Communications of the ACM 67110-120, 2024.  Type: Article Du et al. write: “The shortcut learning behavior has significantly affected the robustness of [large language models, LLMs].” Predictions in these models “rely on dataset artifacts and biases within the hypothesis sentence.”... 3     Artificial intelligence to automate the systematic review of scientific literature Torre-López J., Ramírez A., Romero J. Computing 105(1): 2171-2194, 2023.  Type: Article The study shows that artificial intelligence (AI) has become highly important in contemporary computing because of its capacity to efficiently tackle intricate jobs that were typically carried out by people. The authors provide scientific literatu... 4     The science of detecting LLM-generated text Tang R., Chuang Y., Hu X. Communications of the ACM 67(4): 50-59, 2024.  Type: Article While large language models (LLMs) like ChatGPT can assist writers with editing, they might hinder students from learning to generate ideas or write creatively.... 5      The man who saved geometry: the multidimensional mind of Donald Coxeter Roberts S., PRINCETON UNIVERSITY PRESS, Princeton, NJ, 2024. 416 pp.  Type: Book (9780691264745) “Thanks, I needed that!” I hasten to ask forgiveness for setting a seemingly frivolous tone in this review of a biography that far transcends the cradle-to-grave story of a great mathematician--as well told as that story is in thi... 6     Natural language processing: a textbook with Python implementation Lee R., Springer International Publishing, Cham, Switzerland, 2023. 437 pp.  Type: Book (9789819919987) I had one big question after taking on this review: How relevant is this book with the advent of large language models (LLMs)? In the past two years, the launches of OpenAI’s GPT and Google’s Gemma, amongst others, have severely disrup... 7      Why machines learn: the elegant math behind modern AI Ananthaswamy A., Penguin Random House, New York, NY, 2024. 480 pp.  Type: Book (9780593185742) Anil Ananthaswamy’s Why machines learn provides a captivating deep dive into the mathematical principles that power modern machine learning and artificial intelligence (AI). The book offers a rich, narrative-driven exploration of the ... 8      The heart and the chip: our bright future with robots Rus D., Mone G., W. W. Norton, New York, NY, 2024. 272 pp.  Type: Book (9781324050230) The heart and the chip: our bright future with robots, by Daniela Rus and Gregory Mone, is an insightful exploration of the future of robotics and artificial intelligence (AI), focusing on how these technologies will transform every aspect ... 9     Recommender systems: frontiers and practices Li D., Lian J., Zhang L., Ren K., Lu T., Wu T., Xie X., Springer International Publishing, Singapore, 2024. 280 pp.  Type: Book (9789819989638) With this book, Dongsheng Li et al. offer a comprehensive exploration of recommendation algorithms. They start with traditional recommendation systems, introducing readers to basic principles while critically analyzing their strengths and weakness... 10         Display 510152550100 per page
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