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January 15, 2025
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Explainability is not a game
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) algorithms. But how should creators of future robust ML models... more
Quote
For the first time I heard Russian scientists—concerned with programming computers, with machine translation of natural languages, with computer... more
- Warren S. McCulloch (1961)
Articles
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... 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 public version of ChatGPT. By then... 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... 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 authors first address myths about ANNs, such as the perception of them as black... 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... more

Natural Language (H.5.2...) | Nov 21 24

Books
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 prepares... 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

Sync problems collection: synchronization and time distribution in telecommunications

Sync problems collection, by Nickolay Biriukov and Nataliya Triska, provides a clear and practical exploration of synchronization issues in the telecommunications field. Unlike many technical textbooks, this book focuses more on practical... more
Synchronization (D.4.1...) | Dec 18 24

Critical systems thinking: a practitioner’s guide

In the words of Bob Dylan: “To live outside the law, you must be honest” [1]. I first met Dr. Michael C. Jackson, dean, professor, and rebel, at the grand opening of the University of Lincoln and Humberside, in 1996. During my visit, we discussed jacket potatoes, thinking hats, British Mexican food, fireworks, and the proper... more
General (K.6.0) | Dec 6 24


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