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Large language models: a deep dive: bridging theory and practice
Large language models (LLMs) represent a groundbreaking advancement in natural language processing (NLP), enabling unprecedented capabilities in text generation, understanding, and context comprehension. Their potential extends across various domains, including software engineering. As a reviewer... more
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| The reading and listening public “knows,” among other things: that in our culture there are two cultures, composed of the men of science and... more |
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Replication in requirements engineering: the NLP for RE case: ACM Transactions on Software Engineering and Methodology
This paper presents a novel solution to a common problem: how to better share and replicate research.
The “NLP” in the title refers to natural language processing, a research method for requirements engineering (RE) research given that system... more
Requirements/Specifications (D.2.1) | Mar 20 25
Measuring GitHub Copilot's impact on productivity: Communications of the ACM
Artificial intelligence (AI)-powered coding assistants are transforming how developers write, debug, and optimize code. Leveraging machine learning and natural language processing (NLP), these tools offer real-time suggestions... more
Software Development (K.6.3...) | Mar 7 25
Variational inference based adversarial domain adaptation: Pattern Analysis & Applications
Zonoozi et al. present a novel approach to unsupervised domain adaptation by integrating variational autoencoders (VAEs) with adversarial learning. Their proposed model, variational inference based on adversarial domain adaptation (VIADA), aims to... more
Learning (I.2.6) | Mar 4 25
ChatGPT is bullshit: Ethics and Information Technology
As people around the world understand how large language models (LLMs) behave, more and more of us wonder why these models “hallucinate”--and what can be done to reduce it. Hicks et al.’s provocatively named paper is an... more
Ethics (K.4.1...) | Feb 25 25
A disruptive research playbook for studying disruptive innovations: ACM Transactions on Software Engineering and Methodology
This paper introduces a novel tool, useful for high-level analysis of innovation in software engineering and long-term impacts on the software engineering community. The authors call it a “playbook” to distinguish it... more
Methodologies (D.2.1...) | Feb 20 25
Diversity, equity, and inclusion in artificial intelligence: an evaluation of guidelines: Applied Artificial Intelligence
In her book The age of surveillance capitalism [1], Shoshana Zuboff asks: “Are we all going to be working for a smart machine, or will we have smart people around the machine?”
This is an equal opportunity review. Together we will strive to create a... more
Artificial Intelligence (I.2) | Feb 19 25
Knowledge editing for large language models: a survey: ACM Computing Surveys
Wang et al. provide a comprehensive survey on knowledge-based model editing (KME) techniques, focusing on methods to efficiently and precisely update large language models (LLMs) without negatively impacting unrelated knowledge. The paper... more
Language Models (I.2.7...) | Feb 18 25
Embodied and dialogical basis for understanding humans with information: a sustainable view: JASIST
Anna Suorsa’s paper explores human-information interactions (HIIs) through hermeneutic phenomenology, emphasizing embodiment, dialogicality, and temporality. Drawing from Alfred Schutz’s The phenomenology of the social world and Merleau... more
Computers & Society (K.4) | Feb 10 25
AI should challenge, not obey: Communications of the ACM
As artificial intelligence (AI) continues to revolutionize how we learn and work, Sarkar questions whether the way we are leveraging AI as an assistant that efficiently completes tasks is the right one. In this article, Sarkar argues for AI’s role as a “provocateur” that... more
Ethics (K.4.1...) | Feb 5 25
Mapping the ethics of generative AI: a comprehensive scoping review: Minds and Machines
The advent of generative artificial intelligence (GenAI) has seen much debate in academic and professional circles of late, as well as significant hype in public media and heated discussion on... more
Ethics (K.4.1...) | Feb 4 25
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Artificial intelligence for science (AI4S): frontiers and perspectives based on parallel intelligence
The “SpringerBriefs in Service Science” series aims to provide a concise but thorough description of the evolution of digital service design and delivery in the context of big data and artificial intelligence (AI). The books in this... more
Parallel (B.2.1...) | Mar 21 25
The AI edge: sales strategies for unleashing the power of AI to save time, sell more, and crush the competition
In an era where artificial intelligence (AI) is transforming industries at an unprecedented pace, The AI edge by Jeb Blount and Anthony Iannarino offers a compelling and practical guide for sales professionals seeking to leverage AI to enhance performance and gain a... more
Business (J.1...) | Mar 19 25
Large language models: a deep dive: bridging theory and practice
Large language models (LLMs) represent a groundbreaking advancement in natural language processing (NLP), enabling unprecedented capabilities in text generation, understanding, and context comprehension. Their potential extends across... more
Language Models (I.2.7...) | Mar 18 25
Special topics in information technology
Special topics in information technology offers a concise yet insightful exploration of emerging themes and critical issues within the rapidly evolving field of information technology (IT). The book serves as a specialized resource intended for researchers... more
Computer Science Education (K.3.2...) | Mar 17 25
Architecting data and machine learning platforms: enable analytics and AI-driven innovation in the cloud
Cloud computing offers several advantages for businesses. In the age of energy savings and green information technology (IT), organizations are following the trend of implementing positive green IT and eco-design by redesigning... more
Business (J.1...) | Mar 14 25
Introduction to data science in biostatistics: using R, the tidyverse ecosystem, and APIs
When thinking about data science and biostatistics, it is reasonably certain that the statistical programming language R will be included as one of the most important tools. In this problem space, one can think of R as present in a couple of ways: as the base... more
Biology & Genetics (J.3...) | Mar 13 25
Fusion strategy: how real-time data and AI will power the industrial future
Fusion strategy ends with a question and a challenge. How can businesses transform themselves by taking advantage of the power of digital technology, and what could it mean for the discipline of management as we know it? Fusing together the underlying academic disciplines of... more
Real Time (J.7...) | Mar 12 25
Principles of verification: cycling the probabilistic landscape
This book is the second part of a three-volume Festschrift in honor of Joost-Pieter Katoen’s 60th birthday. The included papers pertain to probabilistic model checking using the theoretical achievements and computational tools that originated in his... more
Probabilistic Algorithms (G.3...) | Mar 11 25
Human + machine: reimagining work in the age of AI (updated and expanded)
In the words of physicist David Bohm: “Thought creates the world and then says, ‘I didn’t do it.’”
Recently I asked a colleague to review an artificial intelligence (AI)-generated welcome message for a course I’m refreshing, hoping to determine whether it made... more
Business (J.1...) | Mar 10 25
Supportive smart homes: their role in aging in place
What is the role of supportive smart homes for “aging in place”? Supportive smart homes utilize AgeTech technology, including networks of sensors, devices, and systems, to address the needs of older adults [1].
This book has six substantial coauthors with... more
General (K.4.0) | Mar 6 25
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