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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 20104 results Ranking    Biases in AI systems Srinivasan R., Chander A. Communications of the ACM 64(8): 44-49, 2021.  Type: Article As Srinivasan and Chander discuss, software packages and algorithms encounter many biases related to images on the web. This is then an article on computer application control, not human user control. Machine learning (ML) and artificial intellige... 1      Explainability is not a game Marques-Silva J., Huang X. Communications of the ACM 67(7): 66-75, 2024.  Type: Article The increasing application of artificial intelligence (AI) in real-life decisions--from birth to death, from economic survival to irrecoverable debts by nations, from peace to war times and military manpower mobilization [1]--requires hi... 2     The science of detecting LLM-generated text Tang R., Chuang Y., Hu X. Communications of the ACM 67(4): 50-59, 2024.  Type: Article, Reviews: (2 of 2) While artificial intelligence (AI) applications for natural language processing (NLP) are no longer something new or unexpected, nobody can deny the revolution and hype that started, in late 2022, with the announcement of the first public version ... 3     Meta-learning approaches for few-shot learning: a survey of recent advances Gharoun H., Momenifar F., Chen F., Gandomi A. ACM Computing Surveys 56(12): 1-41, 2024.  Type: Article Gharoun et al. provide a comprehensive overview of meta-learning techniques, with a focus on how these methods facilitate learning from limited data (few-shot learning, FSL). They categorize recent advancements into metric-based, memory-based, and... 4     Towards combining commonsense reasoning and knowledge acquisition to guide deep learning Sridharan M., Mota T. Autonomous Agents and Multi-Agent Systems 37(1): 2023.  Type: Article In artificial intelligence (AI), commonsense reasoning refers to the ability to make assumptions about the characteristics and nature of everyday situations, similar to how humans perceive and interpret them. For example, it involves evaluating ph... 5     New computer evaluation metrics for a changing world Vahdat A., Ma X., Patterson D. Communications of the ACM 67(10): 31-33, 2024.  Type: Article The sheer number of artificial intelligence (AI) applications and increasing demand for cloud computing technologies require effective plans for coping with requests related to computing resources. But how should managers of humongous data centers... 6      Applying AI-based tools and technologies towards revitalization of indigenous and endangered languages Dash S., Parida S., Mohanty S., Springer International Publishing, Singapore, 2024. 220 pp.  Type: Book (9789819719860) Generative artificial intelligence (AI), and specifically large language models (LLMs), are generally trained using huge corpora, in the English language, gathered from the public and private domains. But what about endangered languages, for examp... 7      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 uni... 8      Critical systems thinking: a practitioner’s guide Jackson M., WILEY, Hoboken, NJ , 2024. 256 pp.  Type: Book (9781394203598) In the words of Bob Dylan: “To live outside the law, you must be honest” [1].... 9     Hands-on large language models Alammar J., Grootendorst M., OReilly Media, Inc., Sebastopol, CA, 2024. 428 pp.  Type: Book (9781098150938) Hands-on large language models, by Jay Alammar and Maarten Grootendorst, is a beginner-friendly guide to understanding and using large language models (LLMs). Designed for readers with some basic knowledge of Python and machine learning, th... 10         Display 510152550100 per page
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