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| We build computers and programs for many reasons. We build them to serve society and as tools for carrying out the economic tasks of society. But as... more |
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| - A. Newell & H.A. Simon (1975) |
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New computer evaluation metrics for a changing world: Communications of the ACM
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... more
Hardware (K.2...) | Jan 15 25
Towards combining commonsense reasoning and knowledge acquisition to guide deep learning: Autonomous Agents and Multi-Agent Systems
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... more
Learning (I.2.6) | Jan 13 25
Explainability is not a game: Communications of the ACM
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 highly reliable machine learning (ML)... more
General (I.2.0) | Dec 27 24
Meta-learning approaches for few-shot learning: a survey of recent advances: ACM Computing Surveys
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 learning... more
General (I.2.0) | Dec 20 24
The science of detecting LLM-generated text: Communications of the ACM
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... more
Natural Language (H.5.2...) | Dec 16 24
Adopting and sustaining microservice-based software development: Communications of the ACM
When a new software development paradigm appears, eager potential adopters often rush into it, not knowing what they do not know. Microservice-based software development is one of the latest hot ideas in the... more
Software Development (K.6.3...) | Dec 13 24
Deep learning in medical image super resolution: a review: Applied Intelligence
Medical image super-resolution (SR) reconstruction is an active area of research, with the potential to make medical imaging safer and more accessible by enhancing the quality of images produced with low-cost equipment or reduced radiation doses. This paper provides... more
Learning (I.2.6) | Dec 11 24
Exploding the myths: an introduction to artificial neural networks for prediction and forecasting: Environmental Modelling & Software
Maier et al. examine artificial neural networks (ANNs) in this paper, aiming to clarify misconceptions and outline best practices for their application in prediction and forecasting.
The... more
Neural Nets (C.1.3...) | Dec 9 24
Sequential-hierarchical attention network: exploring the hierarchical intention feature in POI recommendation: World Wide Web
A point-of-interest (POI) recommender system has become an important and powerful tool for travelers. Such systems “model the impact of external factors on user behavior, such as time [and] geographical location, to predict future check-ins.” This paper proposes... more
General (H.3.0) | Dec 5 24
Shortcut learning of large language models in natural language understanding: Communications of the ACM
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.” LLMs (GPT-3 and T5) use a prompt... more
Natural Language (H.5.2...) | Nov 21 24
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Quantum machine learning: quantum algorithms and neural networks
Writing a book about a rapidly evolving technology like quantum computing (QC) is no easy task, especially in light of its potential impact on other rapidly developing fields such as deep machine learning, reinforcement learning (RL), natural language processing (NLP)... more
General (B.0) | Jan 20 25
High-performance web apps with FastAPI: the asynchronous web framework based on modern Python
For the software developer seeking to quickly build application programming interfaces (APIs) in Python using a modern approach, this is an excellent resource. The book quickly moves from introductory concepts, assuming some basic knowledge of Python, to... more
Web (I.7.1...) | Jan 17 25
Using artificial intelligence: absolute beginner’s guide
This book introduces artificial intelligence (AI) in a simple and practical way, making it perfect for readers with no prior experience. Michael Miller explains key AI concepts like machine learning, natural language processing (NLP), and computer vision, focusing on how AI is... more
General (I.2.0) | Jan 14 25
Open radio access network (O-RAN) systems architecture and design
Along with long-term evolution (LTE), 5G promises not only high-speed data rate transferring but also Internet of Things (IoT) services, edge computing, and more. This book covers the technical details of 5G and the open radio access network (O-RAN) platform... more
System Architectures (C.0...) | Jan 10 25
Digital and strategic innovation for Alpine health tourism: natural resources, digital tools and innovation practices from HEALPS 2 project
To quote Romanian-French playwright Eugène Ionesco, “It is not the answer that enlightens, but the question.”
The dining table was a medieval innovation. And what was it for a wealthy Roman? The table was a... more
Tools (D.2.1...) | Jan 8 25
Petri net primer: a compendium on the core model, analysis, and synthesis
Modeling is used to analyze complex systems, and computer simulation of the systems is many decades old now. The model has to be computation-friendly in order to carry out the simulations. The book describes Petri nets, the computation-friendly models. It... more
Petri Nets (D.2.2...) | Jan 6 25
How to solve real-world optimization problems: from theory to practice
Optimization problems occur everywhere. As more industrial tasks are automated, solving a problem takes us to the next set of problems with additional criteria, where further improvement is possible and our investigation goes on.
Industries like paper... more
Optimization (B.1.4...) | Jan 3 25
Metainferential logics
Metainferential logics, by Federico Pailos and Bruno Da Ré, appears in Springer’s “Trends in Logic” series as volume 61. The book delves into the specialized field of substructural logics, with a particular focus on how they address metainferences. It is structured in a... more
Logic Programming (I.2.3...) | Dec 31 24
Applying AI-based tools and technologies towards revitalization of indigenous and endangered languages
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 example, Indigenous... more
Artificial Intelligence (I.2) | Dec 26 24
Hands-on large language models
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, the book breaks... more
Language Models (I.2.7...) | Dec 24 24
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