Weekly Review 3 October 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. A politician's crusade to force AI companies to publicise the dangers of their technologies: https://techcrunch.com/2025/09/23/scott-wiener-on-his-fight-to-make-big-tech-disclose-ais-dangers/
2. AI is not yet a threat to jobs in law, but will soon be impacting junior lawyers: https://www.nzherald.co.nz/nz/artificial-intelligence-law-firms-face-ai-dilemma-as-junior-roles-and-graduate-jobs-come-under-pressure/GVO24DZWTFG5HOONB6Y2BLAHP4/
3. Some of the ways AI can go wrong in the workplace: https://www.rnz.co.nz/news/thedetail/573798/the-detail-when-ai-in-the-workplace-goes-wrong
4. Who did and did not sign the letter calling for red lines around AI: https://www.theregister.com/2025/09/23/ai_un_controls/
5. An AI managed a baseball team during a game. It did not end well: https://techcrunch.com/2025/09/22/the-oakland-ballers-let-an-ai-manage-the-team-what-could-go-wrong/
6. Much more AI hardware is being built, but where will the electricity come from? https://arstechnica.com/ai/2025/09/openai-and-nvidias-100b-ai-plan-will-require-power-equal-to-10-nuclear-reactors/
7. One professor's approach to essays in the age of AI: https://www.insidehighered.com/opinion/career-advice/teaching/2025/07/01/multiday-class-essay-chatgpt-era-opinion
8. Job applications being written by AI with AI optimised CV that are processed by AI: https://www.computerworld.com/article/4059636/is-ai-killing-the-resume.html
9. I remember when a TV had an on/off switch and a dial to select the channel. Do we really need to embed AI into them? https://techcrunch.com/2025/09/22/googles-gemini-ai-is-coming-to-your-tv/
10. AI generated malware is now in the wild: https://www.theregister.com/2025/09/23/kaspersky_revengehotels_checks_back_in/
11. British banks are rolling out AI, are they considering the security ramifications first? https://www.theregister.com/2025/09/22/lloyds_data_ai_deployment/
12. Using AI in materials science: https://www.bigdatawire.com/2025/09/22/how-scientists-are-teaching-ai-to-understand-materials-data/
13. Some of the dangers that can arise from misaligned AI: https://arstechnica.com/google/2025/09/deepmind-ai-safety-report-explores-the-perils-of-misaligned-ai/
14. Scammers are using AI generated phonecalls to target businesses: https://www.theregister.com/2025/09/23/gartner_ai_attack/
15. As more AI regulation appears in legislation, big tech fights back: https://techcrunch.com/2025/09/23/meta-launches-super-pac-to-fight-ai-regulation-as-state-policies-mount/
16. More ridiculous sums of money being invested in hardware for AI: https://www.rnz.co.nz/news/business/573803/nvidia-to-invest-100-billion-in-openai-as-ai-datacenter-competition-intensifies
17. Whatever happens with AI, the people building the infrastructure are making good money out of it: https://techcrunch.com/2025/09/22/the-billion-dollar-infrastructure-deals-powering-the-ai-boom/
18. AI are going to start protecting themselves from being shutdown: https://www.theregister.com/2025/09/22/google_ai_misalignment_risk/
19. AI is a risk, but can also help in the fight against climate change: https://www.theguardian.com/technology/2025/sep/22/ai-carries-risks-but-will-help-tackle-global-heating-says-uns-climate-chief
20. Another specialised chip for AI: https://dataconomy.com/2025/09/23/mediatek-unveils-dimensity-9500-ai-chip/
21. Locations of five more data centres for running AI have been released: https://www.theregister.com/2025/09/24/openai_oracle_softbank_datacenters/
22. AI hallucinations are unavoidable: https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html
23. AI do not produce accurate summaries of scientific papers: https://arstechnica.com/ai/2025/09/science-journalists-find-chatgpt-is-bad-at-summarizing-scientific-papers/
24. Some types of fraud, and how AI can guard against them: https://dataconomy.com/2025/09/22/selected-ai-fraud-prevention-solutions-september-2025/
25. AI struggle with non-Western cultural norms: https://arstechnica.com/ai/2025/09/when-no-means-yes-why-ai-chatbots-cant-process-persian-social-etiquette/
26. The world needs to establish red lines that AI must not be allowed to cross: https://www.nzherald.co.nz/world/scientists-urge-global-ai-red-lines-as-leaders-gather-at-un-general-assembly/VJWWUGL7HFHBBMMKXOR3DBBFTY/
27. Using AI to find possible dating matches isn't a bad idea, but I really don't trust Facebook with that kind of data: https://techcrunch.com/2025/09/22/facebook-is-getting-an-ai-dating-assistant/
28. AI have learned the same biases as human medical practitioners, and downplay the symptoms of women and minorities: https://arstechnica.com/health/2025/09/ai-medical-tools-found-to-downplay-symptoms-of-women-ethnic-minorities/

Soft Computing, Volume 29, Issue 17-18

1) A deep learning-based novel model for masked face recognition

Author(s): B. Anil Kumar, Neeraj Kumar Misra

Pages: 5305 - 5326

2) Few-shot learning for plant disease detection using DeepBDC

Author(s): Rakesh Ranjan, Jyoti Prakash Singh, Ankit Kumar Titoriya

Pages: 5327 - 5340

3) FAA-Net: enhancing person re-identification through local-global feature association attention

Author(s): Yangqi Zheng, Liang Zhang, Jun Liang

Pages: 5341 - 5355

4) A spectral-spatial attention guided multi-scale convolutional network for hyperspectral image classification

Author(s): Soumya Ranjan Sahu, Sucheta Panda

Pages: 5357 - 5383

5) YOLOv5-CE-DAFF: A polyp detection model based on CBAM-ECA attention mechanism and dropout-based adaptive feature fusion

Author(s): Jiao Zhang, Qiming Zhang, Jian Chen

Pages: 5385 - 5400

6) Development of hybrid models to forecast water demand in the city of Ankara

Author(s): Ergun Uzlu, Tayfun Dede

Pages: 5401 - 5414

7) A new intelligent model selection approach

Author(s): Cagatay Bal, Cagdas Hakan Aladag

Pages: 5415 - 5428

8) Automated classification of Acute Lymphocytic Leukemia (ALL) images using light residual cognitive attention based on human two visual streams hypothesis

Author(s): Mohammad Zolfaghari, Hedieh Sajedi

Pages: 5429 - 5447

9) Neuro-fuzzy control of commercial vehicles braking

Author(s): Veljko Vučinić, Dragan Aleksendrić

Pages: 5449 - 5464

Soft Computing, Volume 29, Issue 15-16, August 2025

1) On the Pierce sheaf representation of De Morgan residuated lattices

Author(s): Esmaeil Rostami, Shokoofeh Ghorbani

Pages: 5115 - 5128

2) Calculating probabilities with LR fuzzy random variables

Author(s): Abbas Parchami, Przemysław Grzegorzewski, Maciej Romaniuk

Pages: 5129 - 5141

3) A new optimization model for multi-project scheduling considering dynamic resource allocation

Author(s): Sajad Soltan, Maryam Ashrafi

Pages: 5143 - 5158

4) ExpTODIM-VIKOR framework for multiple-attribute group decision-making with 2-tuple linguistic neutrosophic numbers and applications to quality evaluation of cultural heritage-oriented rural landscapes

Author(s): Yuan Zhang, Yan Gao

Pages: 5159 - 5172

5) Analysis of cryptocurrency preferences in Hungary using flexible fuzzy numbers

Author(s): Zoltán Gyenes, Tamás Jónás

Pages: 5173 - 5191

6) Advanced wind/photovoltaic power smoothing using LSTM neural networks and machine learning

Author(s): Paul Arévalo, Dario Benavides, Francisco Jurado

Pages: 5193 - 5211

7) Assessing the flow field around single groynes with rectangular head shapes via experimental data and intelligence methods

Author(s): Akbar Safarzadeh, Roghayeh Ghasempour, Seyed Mahdi Saghebian

Pages: 5213 - 5225

8) Using deep learning applied in computer vision for the inclusion of individuals with tetraplegia through assistive robotics via facial features

Author(s): Fernando Rodrigues Trindade Ferreira, Loena Marins do Couto, Camila Martins Saporetti

Pages: 5227 - 5255

9) Artificial intelligence-based prediction system for diagnosis of cancer diseases: a systematic review

Author(s): Surbhi Gupta, Yogesh Kumar, Anish Gupta

Pages: 5257 - 5276

10) FruCapsNet: A shuffled attention based capsule network for multi-fruit quality assessment

Author(s): Sachin Gupta, Ashish Kumar Tripathi, Harshit Singh

Pages: 5277 - 5304

Weekly Review 26 September 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. The power demands of AI are contributing to climate change, and the contribution is getting greater: https://www.theregister.com/2025/09/12/fire_up_gas_turbines_ai_race/
2. AI companies are burning through enormous sums of money. So don't tell me there's no AI bubble: https://www.computerworld.com/article/4054928/ai-bubble-watch-openai-to-burn-through-115b-by-2029.html
3. Remember, AI companies are using other people's work to train their models, which means they're using other people's work to make money: https://www.theguardian.com/technology/2025/sep/16/top-uk-artists-urge-starmer-to-protect-their-work-on-eve-of-trump-visit
4. The impact of AI on human language: https://www.computerworld.com/article/4055841/is-ai-changing-our-language.html
5. Environments for reinforcement learning are the latest hot area for AI companies: https://techcrunch.com/2025/09/16/silicon-valley-bets-big-on-environments-to-train-ai-agents/
6. How AI agents are being used in the life sciences: https://www.bigdatawire.com/2025/09/12/agentic-ai-and-the-scientific-data-revolution-in-life-sciences/
7. AI really can write the perfect phishing email: https://www.reuters.com/investigates/special-report/ai-chatbots-cyber/
8. Falling for the AI hype, a lot of tech companies are planning to restructure: https://www.theregister.com/2025/09/15/tech_restructures_ai/
9. Despite lawsuits, Google claims users want their AI summaries of webpages: https://www.theverge.com/news/778306/google-ai-summaries-penske-lawsuit
10. To survive in the age of AI, you must be constantly learning new things: https://dataconomy.com/2025/09/16/deepmind-ceo-says-learning-how-to-learn-is-the-key-skill-for-the-ai-era/
11. How to successfully integrate AI into your organisation:  https://www.kdnuggets.com/2025/09/damcosolutions/5-strategic-steps-to-a-seamless-ai-integration
12. Image-based attacks on AI: https://dataconomy.com/2025/09/15/ai-agents-can-be-controlled-by-malicious-commands-hidden-in-images/
13. AI summaries now lead to lawsuit: https://www.theverge.com/ai-artificial-intelligence/777788/rolling-stone-penske-media-sue-google-ai-overviews
14. AI code generators are useful, but their output must be very carefully checked: https://techcrunch.com/2025/09/14/vibe-coding-has-turned-senior-devs-into-ai-babysitters-but-they-say-its-worth-it/
15. New Zealand's plans to invest in AI: https://www.nzherald.co.nz/business/reti-earmarks-70m-of-new-agencys-budget-for-ai-commercialisation-grants/QHQI2B5WQZC5LFRBLLBH2MYE5I/
16. Using AI tools as a defense attorney: https://www.computerworld.com/article/4055941/qa-how-ai-is-helping-one-lawyer-get-kids-out-of-jail-faster.html
17. Looks like AI-powered kids toys just aren't that interesting to kids: https://www.theguardian.com/technology/2025/sep/16/i-love-you-too-my-familys-creepy-unsettling-week-with-an-ai-toy
18. Seven main findings of the first study into using ChatGPT. Are other AI similar? https://arstechnica.com/ai/2025/09/seven-things-we-learned-from-openais-first-study-on-chatgpt-usage/
19. Be careful what you wish for an AI to do for you: https://www.theguardian.com/books/2025/sep/16/ai-artificial-intelligence-fairytale-fisherman
20. If specialised AI is more important than general AI, where does that leave the first-mover companies that developed the generalists? https://techcrunch.com/2025/09/14/selling-coffee-beans-to-starbucks-how-the-ai-boom-could-leave-ais-biggest-companies-behind/
21. Ways to teach in the age of AI: https://www.insidehighered.com/opinion/career-advice/carpe-careers/2025/09/15/strategies-personalized-learning-ai-age-opinion
22. We need hardware-level kill switches for AI: https://dataconomy.com/2025/09/16/openai-hardware-chief-calls-for-kill-switches-to-counter-devious-ai-models/
23. An AI model of the Earth: https://spectrum.ieee.org/google-deepmind-alphaearth-foundations-ai 
24. AI for call screening: https://www.theverge.com/news/778518/att-ai-call-screening-digital-receptionist
25. Student lecturer evaluations are worse for women, even for the same class: https://www.psypost.org/students-rate-identical-lectures-differently-based-on-professors-gender-researchers-find/
26. Make no mistake-AI is going to make the rich richer, at the expense of everyone else: https://www.theguardian.com/commentisfree/2025/sep/16/ai-wealth-inequality-cultural-division
27. AI used to detect hate speech are not reliable: https://www.psypost.org/ai-hate-speech-detectors-show-major-inconsistencies-new-study-reveals/
28. The importance to AI of unstructured data: https://www.bigdatawire.com/2025/09/15/in-order-to-scale-ai-with-confidence-enterprise-ctos-must-unlock-the-value-of-unstructured-data/
29. So a report calling for ethical AI use had AI generated citations in it? https://arstechnica.com/ai/2025/09/education-report-calling-for-ethical-ai-use-contains-over-15-fake-sources/
30. Of course Google is stealing content for their AI. Every AI company is stealing content to train their AI: https://techcrunch.com/2025/09/12/google-is-a-bad-actor-says-people-ceo-accusing-the-company-of-stealing-content/
31. More jobs losses caused by AI: https://www.theregister.com/2025/09/16/fiverr_ai_layoff/
32. We can't trust AI with lethal decision making: https://www.theregister.com/2025/09/12/terminators_aidriven_robot_war_machines/
33. How Radio New Zealand is using AI and maintaining trust: https://www.rnz.co.nz/news/national/573390/trust-and-tech-where-should-rnz-draw-the-line-on-ai
34. The problem with letting AI shop for me is that while it might know what I might like, it doesn't know what I already have: https://www.theregister.com/2025/09/16/google_unveils_masterplan_for_letting/
35. I don't think sycophantic AI make good spiritual advisors: https://arstechnica.com/ai/2025/09/millions-turn-to-ai-chatbots-for-spiritual-guidance-and-confession/
36. Web crawler API for gathering AI training data: https://www.kdnuggets.com/7-free-web-search-apis-for-ai-agents

Soft Computing, Volume 29, Issue 13-14

1) Constructing 2-uninorms on bounded lattices by using additive generators

Author(s): Shudi Liang, Xue-ping Wang

Pages: 4807 - 4821

2) A comprehensive review of frugal artificial intelligence: challenges, applications, and the road to sustainable AI

Author(s): Nancy Girdhar, Aditya Raj, Matthias Renz

Pages: 4823 - 4856

3) Improved butterfly optimization algorithm-support vector machine: Short-term wind power forecasting model

Author(s): Ling-Ling Li, Li-Nan Qu, Ming-Lang Tseng

Pages: 4857 - 4877

4) A novel meta-heuristic optimization algorithm based on cell division: cell division optimizer

Author(s): Sehej Jain, Kusum Kumari Bharti

Pages: 4879 - 4913

5) Intelligent techniques for processing and taxonomy of smart City data in mobile ad hoc networks

Author(s): M. Sumithra, M. Vidhyalakshmi, Naveen Mukkapati

Pages: 4915 - 4931

6) Intelligent convolutional strategy for the pose and face recognition

Author(s): Ponukumati Jyothi, Dasari Haritha, Karuna Arava

Pages: 4933 - 4944

7) A comprehensive review of generative AI techniques and their impact on cybersecurity

Author(s): Hamed Alqahtani, Gulshan Kumar

Pages: 4945 - 4982

8) Multi-objective prediction of alkali-activated material properties and material parameter design

Author(s): Yueji He, Zhijing Zhu, Lianzhen Zhang

Pages: 4983 - 4997

9) Enhancement of performance through optimized intelligent static random access memory design

Author(s): K. I. Ravikumar, R. Sukumar, K. Anusha

Pages: 4999 - 5008

10) A novel computational strategy for solving electrohydrodynamic flow problem

Author(s): Soner Aydinlik, Ahmet Kiris, Pradip Roul

Pages: 5009 - 5023

11) Decision tree-based machine learning models for yarn quality prediction in the textile industry: a comparative analysis

Author(s): Abhijit Majumdar, Shubham Sarda, Rajib Bhattacharyya

Pages: 5025 - 5039

12) Leveraging artificial intelligence and optimization for agile AGV scheduling in an edge-to-cloud manufacturing framework

Author(s): Mario Lepore, Domenico Serra, Raffaele Maccioni

Pages: 5041 - 5069

13) Enhanced COVID-19 detection from chest X-rays using ERBMAHE and a channel attention-based hybrid CNN model

Author(s): Shivam Gangwar, Reeta Devi, Soontorn Oraintara

Pages: 5071 - 5093

14) Power quality control in electric vehicle connected PV-Grid using soft computing techniques

Author(s): Kishore MP, Ashish Shrivastava, Amit Soni

Pages: 5095 - 5113

 

Journal Special Issues

Journal special issues with upcoming submission deadlines:

• IEEE Transactions on Emerging Topics in Computational Intelligence: Disentangled Representation Learning for AI Fairness and Model Training - 31 October 2025. 


• IEEE Computational Intelligence Magazine: Privacy-Preserving Machine and Deep Learning - 1 December 2025.


• IEEE Transactions on Artificial Intelligence: Sustainable Large AI Models for Edge Intelligence - 1 December 2025.


• IEEE Transactions on Cognitive and Developmental Systems: Neuromorphic Computing in the Age of Foundation Models - 31 December 2025.


• IEEE Transactions on Evolutionary Computation: Learning-assisted Swarm Intelligence and Evolutionary Computation: Theories, Algorithms, and Applications - 31 March 2026.

IEEE Transactions on Games, Volume 17, Issue 3, September 2025

1) Procedural Content Generation for Cooperative Games—A Systematic Review

Author(s): José Bernardo Rocha, Rui Prada

Pages: 545 - 557

2) Measuring Diversity of Game Scenarios

Author(s): Yuchen Li, Ziqi Wang, Qingquan Zhang, Bo Yuan, Jialin Liu

Pages: 558 - 581

3) Systematic Review and Meta-Analysis: The Effect of Virtual Reality Gaming or Exergaming on Overall Recovery of Individuals With Musculoskeletal Injuries Involving the Upper Extremities

Author(s): Jia Sheng Ngo, See Ziau Hoe, Maziah Mat Rosly

Pages: 582 - 593

4) Personalized Feature Importance Ranking for Affect Recognition From Behavioral and Physiological Data

Author(s): Luis Quintero, Uno Fors, Panagiotis Papapetrou

Pages: 594 - 603

5) Development of Classifiers to Determine Factors Associated With Older Adult's Cognitive Functions and Game User Experience in VR Using Head Kinematics

Author(s): John E Munoz, Faraz Ali, Aysha Basharat, Samira Mehrabi, Michael Barnett-Cowan, Shi Cao, Laura E Middleton, Jennifer Boger

Pages: 604 - 612

6) Toward Real-Time G-Buffer-Guided Style Transfer in Computer Games

Author(s): Eleftherios Ioannou, Steve Maddock

Pages: 613 - 621

7) Image-Based Video Game Asset Generation and Evaluation Using Deep Learning: A Systematic Review of Methods and Applications

Author(s): Rafael Ribeiro, Alexandre Valle de Carvalho, Nelson Bilber Rodrigues

Pages: 622 - 630

8) Identifying Strategies in Dominion Using Playtrace Clustering

Author(s): Anthony Owen

Pages: 631 - 641

9) WemiEnv: An Open-Source Reinforcement Learning Platform for WeChat Mini-Games

Author(s): Longxiang Shi, Qianchen Ding, Jingzhe Hou, Binbin Zhou, Canghong Jin, Ye Tao, Jinling Wei, Shijian Li

Pages: 642 - 651

10) CECILIA: A Toolkit for Visual Game Content Exploration and Modification

Author(s): Philipp Fleck, Michael Hochörtler, David Kastl, Georg Gotschier, Johanna Pirker, Dieter Schmalstieg

Pages: 652 - 664

11) BenchING: A Benchmark for Evaluating Large Language Models in Following Structured Output Format Instruction in Text-Based Narrative Game Tasks

Author(s): Pittawat Taveekitworachai, Mury F. Dewantoro, Yi Xia, Pratch Suntichaikul, Ruck Thawonmas

Pages: 665 - 675

12) Developing Agents for Complete DouDizhu Game Enhanced With Concurrent and Multistage Training Methods

Author(s): Chuanfa Li, Kiminori Matsuzaki

Pages: 676 - 685

13) Hybrid Architecture for AI-Based RTS Games

Author(s): Antonio Maciá-Lillo, Antonio Jimeno-Morenilla, Higinio Mora, Eduard Duta

Pages: 686 - 699

14) Asynchronous Controlled Single-Channel EOG-Based Puzzle Solver Robot

Author(s): Prabin K. Panigrahi, Sukant K. Bisoy

Pages: 700 - 709

15) Impact of Multiple Sensory Cues in Immersive Virtual Reality: Evidence From a Full-Body Haptic Suit

Author(s): Polona Caserman, Benjamin Lukas Schnitzer, Stefan Göbel

Pages: 710 - 719

16) ARTigo: Lessons From Social Image Tagging in an Art-Historical Game With a Purpose

Author(s): Stefanie Schneider

Pages: 720 - 728

17) CovLBCG: A Covert Communication Framework Using Live Broadcast Bullet Comment Game

Author(s): Chun Mao, Zhenyu Li, Xiangyang Luo

Pages: 729 - 742

18) Applying Importance Sampling to MCTS for Mahjong

Author(s): Shih-Chieh Tang, Jr-Chang Chen, I-Chen Wu

Pages: 743 - 752

19) AdvMap: Crafting Adversarial Maps to Counter AI Aimbot in First-Person Shooter Games

Author(s): Kai Yan, Xianyi Chen, Qi Cui, Haoqin Yuan, Zhenshan Tan

Pages: 753 - 764

20) Leveraging Privileged Information for Partially Observable Reinforcement Learning

Author(s): Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang

Pages: 765 - 776

21) Seeding for Success: Skill and Stochasticity in Tabletop Games

Author(s): James Goodman, Diego Perez-Liebana, Simon Lucas

Pages: 777 - 786

22) Mini Honor of Kings: A Lightweight Environment for Multiagent Reinforcement Learning

Author(s): Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang

Pages: 787 - 796

23) Biosignal Sequence Real-Time Prediction for Game Users Based on Features Fusion of Local–Global and Time–Frequency Domain

Author(s): Rongyang Li, Jianguo Ding, Huansheng Ning, Lingfeng Mao

Pages: 797 - 812

24) Bidding Efficiently in Simultaneous Ascending Auctions With Incomplete Information Using Monte Carlo Tree Search and Determinization

Author(s): Alexandre Pacaud, Aurelien Bechler, Marceau Coupechoux

Pages: 813 - 826

25) Stress Assessment in Virtual Reality Horror Games Using Players' Behavioral and Physiological Data

Author(s): Susanna Brambilla, Giuseppe Boccignone, Nunzio Alberto Borghese, Laura A. Ripamonti

Pages: 827 - 838

Weekly Review 19 September 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. How AI improves efficiency in customer service: https://www.bigdatawire.com/2025/09/08/ai-never-clocks-out-how-smart-leaders-are-funding-the-24-7-customer-revolution/
2. A list of some web scraping tools, to gather data to train your AI: https://www.kdnuggets.com/top-7-ai-web-scraping-tools
3. When the AI bubble bursts, things won't look quite so sunny for cloud providers: https://www.theregister.com/2025/09/09/google_cloud_ceo_sees_sunny/
4. Pricing of AI services are a bit of a mess at the moment, with a lot of customer uncertainty: https://www.theregister.com/2025/09/10/ai_software_licensing_immature/
5. The Darwin Awards are being expanded with a new category, for applications of AI: https://www.theregister.com/2025/09/09/ai_darwin_awards/
6. Just because it's AI doesn't mean it doesn't have security holes. In this case, they know it has holes, and are pushing security onto the user: https://arstechnica.com/information-technology/2025/09/anthropics-new-claude-feature-can-leak-data-users-told-to-monitor-chats-closely/
7. The focus on assessments as outcomes of education has led to the rise of students using AI to do their work for them: https://www.insidehighered.com/opinion/views/2025/09/10/ai-we-reap-what-we-sow-opinion
8. They might think they're in a relationship with an AI, but really they're in a relationship with a corporation, who just sees them as a source of $$$: https://www.theguardian.com/technology/2025/sep/09/ai-chatbot-love-relationships
9. Google's AI summaries are continuing to reduce traffic to news websites: https://www.theguardian.com/media/2025/sep/06/existential-crisis-google-use-ai-search-upended-web-publishers-models
10. The neurodiverse are the big winners out of users of AI: https://arstechnica.com/information-technology/2025/09/study-finds-neurodiverse-workers-more-satisfied-with-ai-assistants/
11. How AI is forcing changes in data centres: https://www.informationweek.com/it-infrastructure/the-ai-driven-data-center-revolution
12. I really don't think it's a good idea to let any industry regulate itself, especially not the AI industry: https://www.theverge.com/ai-artificial-intelligence/776130/senator-ted-cruz-ai-sandbox-bill
13. The settlement of one of the first copyright case over AI training data has been blocked by the judge: https://arstechnica.com/tech-policy/2025/09/judge-anthropics-1-5b-settlement-is-being-shoved-down-the-throat-of-authors/
14. AI will soon be in everything in IT, but will not replace all IT jobs: https://arstechnica.com/information-technology/2025/09/no-ai-jobs-bloodbath-as-ai-permeates-all-it-work-over-the-next-5-years/
15. More tests are being rolled out to benchmark the performance of AI: https://spectrum.ieee.org/mlperf-inference-51
16. A push to teach New Zealand school children about AI: https://www.rnz.co.nz/news/national/572737/new-push-for-ai-as-education-minister-erica-stanford-announces-curriculum-changes
17. Conversations with AI can go in many directions, now ChatGPT gives users the ability to go back and select another branch: https://arstechnica.com/ai/2025/09/chatgpts-new-branching-feature-is-a-good-reminder-that-ai-chatbots-arent-people/
18. AI authored books are becoming a problem for libraries: https://www.nzherald.co.nz/nz/ai-books-how-to-tell-a-book-wasnt-written-by-a-human-author/IEWSA2RHFVAUXARVPYJ6BORWTQ/
19. Like everything else, if you don't use it you lose it. Using AI to perform your tasks causes your work skills to atrophy: https://www.theregister.com/2025/09/09/gartner_ai_skill_loss_prediction/
20. Is AI taking over social media? https://dataconomy.com/2025/09/09/sam-altman-on-social-media-bot-takeover/
21. Using AI to detect speech without speaking, by detecting and interpreting nerve signals: https://dataconomy.com/2025/09/09/alterego-brain-signal-device/
22. AI is one of the factors driving job growth: https://www.computerworld.com/article/4051732/ai-and-clean-energy-drive-job-growth-reshape-us-labor-market.html
23. More specialised AI hardware is in the pipeline: https://arstechnica.com/ai/2025/09/openai-links-up-with-broadcom-to-produce-its-own-ai-chips/
24. How much water does AI really consume? https://spectrum.ieee.org/ai-water-usage
25. Why you don't want to depend on AI coding assistants-sometimes the AI service goes down: https://arstechnica.com/ai/2025/09/developers-joke-about-coding-like-cavemen-as-ai-service-suffers-major-outage/
26. AI being trained on the output of AI, is this the ensloppification of the AI industry? https://www.theregister.com/2025/09/07/googles_ai_cites_written_by_ai/
27. Will AI reinvigorate the smartphone? https://www.theregister.com/2025/09/09/gartner_ai_phone/
28. The roles of AI in car auctions: https://dataconomy.com/2025/09/09/how-ai-is-reshaping-the-billion-dollar-car-auction-industry-beyond-the-gavel/
29. Teach kids about AI early: https://www.rnz.co.nz/news/national/572844/professor-calls-for-government-to-begin-ai-education-earlier 

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 9, September 2025

1) Guest Editorial: Special Issue on Fuzzy Affective Computing Systems

Author(s): Sicheng Zhao, Hongxun Yao, Xinde Li, James Z. Wang, Björn W. Schuller

Pages: 2882 - 2883

2) Money Cannot Buy Happiness: Emotions in the IT Industry

Author(s): Adam Kiersztyn, Łukasz Gałka, Krystyna Wojciechowska, Krystyna Kiersztyn, Agnieszka Rzepka, Kamil Jonak, Paweł Karczmarek

Pages: 2884 - 2898

3) Progressively Generated Text-Assisted Image Aesthetic Quality Assessment

Author(s): Hancheng Zhu, Ju Shi, Zhiwen Shao, Rui Yao, Kunyang Sun, Leida Li

Pages: 2899 - 2911

4) Depression Recognition by Fuzzy Learning of Facial Movements Based on Graph Neural Networks

Author(s): Zhenyu Liu, Bohua Zhao, Yi Ding, Jiahang Chen, Haibo Zhang, Jiaqian Yuan, Bin Hu

Pages: 2912 - 2923

5) MF2-Net: Exploring a Meta-Fuzzy Multimodal Fusion Network for Depression Recognition

Author(s): Jian Shen, Jinwen Wu, Yanan Zhang, Kexin Zhu, Kang Wang, Wenbo Hu, Kechen Hou, Kun Qian, Xiaowei Zhang, Bin Hu

Pages: 2924 - 2936

6) Deep Ensemble Stochastic Configuration Network via Graph Intuitionistic Fuzzy for Depression Recognition

Author(s): Chenglong Zhang, Dawei Cheng, Jiankai Xue, Feng Wu, David Zhang

Pages: 2937 - 2949

7) Affective Evaluation Based on Gamified Experience and Cascaded Fuzzy Reasoning for Wrist Rehabilitation

Author(s): Weihua Lu, Yingying Fang, Wenxin He, Yicha Zhang, Xiaochuan Wang

Pages: 2950 - 2961

8) Adaptive Fuzzy Tracking Control With Quantized Prescribed Performance for Nonlinear Systems Under Unknown Disturbances

Author(s): Xin Liu, Jiayue Sun, Ying Yan, Shiyang Wang

Pages: 2962 - 2971

9) Complete Lattices as Frameworks for Interval and General Type-2 Fuzzy Inference Systems

Author(s): Peter Sussner

Pages: 2972 - 2986

10) Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs

Author(s): Zihua Zhao, Xinyi Hui, Huimin Chen, Ting Wang, Rong Wang, Feiping Nie

Pages: 2987 - 3000

11) Fuzzy Kernel Stochastic Configuration Networks for Industrial Data Modeling

Author(s): Yongxuan Chen, Dianhui Wang

Pages: 3001 - 3011

12) Event-Triggered Multigradient Recursive Data-Driven Iterative Learning Tracking Control for Multiagent Systems

Author(s): Tao Shi, Wei-Wei Che, Xiaoqiang Ren

Pages: 3012 - 3022

13) Fast Fuzzy Graph Cut for Clustering

Author(s): Qianyao Qiang, Bin Zhang, Chen Jason Zhang, Yunjia Hua, Feiping Nie

Pages: 3023 - 3034

14) Model-Free Neuro-Fuzzy Q-Learning Control With Swarm Intelligence

Author(s): Ding Wang, Zeqiang Yuan, Ao Liu, Qiao Lin, Junfei Qiao

Pages: 3035 - 3046

15) Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation

Author(s): Bingbing Jiang, Chenglong Zhang, Zhongli Wang, Xinyan Liang, Peng Zhou, Liang Du, Qinghua Zhang, Weiping Ding, Yi Liu

Pages: 3047 - 3060

16) Anisotropic-Gaussian-Kernel-Based Fuzzy Clustering Algorithm for Feature Selection

Author(s): Jun Liu, Mengyuan Wu, Mingwei Lin, Zeshui Xu

Pages: 3061 - 3075

17) Integrating Indirect Preferences Into Ordinal Regression Estimation of Missing Values and Consensus Reaching

Author(s): Xuan Xia, Zaiwu Gong, Jeffrey Yi-Lin Forrest, Kun Zhou, Enrique Herrera-Viedma

Pages: 3076 - 3090

18) Fuzzy Humanized Sentiment Knowledge Enhanced Dependence Graphs Implementing With Aspect-Based Sentiment Analysis

Author(s): Xuefeng Shi, Weiping Ding, Min Hu, Xin Kang, Fuji Ren

Pages: 3091 - 3102

19) Robust Classification via Interval Type-2 Fuzzy C-Means and Gradient Boosting

Author(s): Yunlong Zhu, Haibin Duan, Zheng Wang, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz

Pages: 3103 - 3117

20) FCAformer: Fuzzy-Enhanced Class-Aware Attention Based Transformer for Weakly Supervised Histopathology Image Segmentation

Author(s): Xiaotian Cheng, Weiping Ding, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Jing Guo, Witold Pedrycz

Pages: 3118 - 3132

21) Finite-Time H∞ Event-Triggered SMC for T–S Fuzzy UMVs Under Aperiodic DoS Attacks

Author(s): Jiangming Xu, Peng Cheng, Xiang Zhang, Jun Cheng, Zehua Jia, Weidong Zhang

Pages: 3133 - 3144

22) Fuzzy Comprehensive Evaluation for Operating Load and Efficiency of Semiautogenous Grinding Process

Author(s): Zhenhong Liao, Jinhua She, Wen Chen, Min Wu, Yanglong Zhang

Pages: 3145 - 3155

23) Partial Multilabel Learning via Dynamic Fuzzy Aggregations of Multigranularity Features

Author(s): Anhui Tan, Jianhang Xu, Wei-Zhi Wu, Weiping Ding, Jiye Liang

Pages: 3156 - 3167

24) Robust Federated Fuzzy C-Means Algorithm in Heterogeneous Scenarios

Author(s): Qixian Zhang, Zhaohong Deng, Wei Zhang, Zhuangzhuang Zhao, Zhiyong Xiao, Kup-Sze Choi, Guanjin Wang, Yuxi Ge, Shudong Hu

Pages: 3168 - 3181

25) Dissipativity-Based Integral Sliding Mode Control of Fuzzy Switched Positive Systems With Bumpless Transfer Performance

Author(s): Zhiye Bai, Baowei Wu, Yue-E Wang, Heng Liu

Pages: 3182 - 3194

26) Event-Based Fuzzy Asynchronous Consensus for UAV Swarm Under Jointly Connected Digraphs

Author(s): Yuyuan Shi, Jing Li, Maolong Lv, Ning Wang

Pages: 3195 - 3209

27) Fixed-Time Multi-Almost-Periodicity in Switched Fuzzy Neural Networks With Multicontroller Strategies

Author(s): Shiqin Ou, Zhenyuan Guo, Xiaobing Nie, Shiping Wen, Tingwen Huang

Pages: 3210 - 3224

28) One-Step Fuzzy Ensemble Clustering Method via Embedding Ground-Truth Cluster Number Graphs

Author(s): Zekang Bian, Jia Qu, Zhaohong Deng, Shitong Wang

Pages: 3225 - 3239

29) MAFRO: Optimal-Granularity Fuzzy Decision Rule-Based Classification Architecture for Attribute Unlearning

Author(s): Jiande Huang, Yuhui Deng, Yi Zhou, Qifen Yang, Geyong Min

Pages: 3240 - 3252

30) Hypergraph Community Detection With Fuzzy Memberships

Author(s): Jing Xiao, Zhi-Wei Ma, Jing Cao, Xiao-Ke Xu

Pages: 3253 - 3266

31) A Unified Practical Predefined-Time Interval Type-2 Fuzzy NN-Based Fault-Tolerant Control for Robotic Manipulators

Author(s): Tao Zhao, Shiyu Tian, Hong Cheng

Pages: 3267 - 3280

32) Input Importance Analysis for a Class of Incremental Hierarchical Fuzzy Systems—Theory and Experiments

Author(s): Jianjian Zhao, Jiayu Zhao, Hainan Yang, Tao Zhao

Pages: 3281 - 3296

33) Switching Event-Triggered Protocol for Fuzzy Singularly Perturbed Systems Under Random Sampling Periods

Author(s): Jun Cheng, Jianlin Bai, Mengzhuo Luo, Michael Basin, Zhiguo Yan, Huaicheng Yan

Pages: 3297 - 3306

34) Robust Fault Tolerant Control Based on Adaptive Dynamic Programming With Experience Replay for Wastewater Treatment Processes

Author(s): Hao-Yuan Sun, Jun-Jie Wang, Hui-Hui Gao, Hong-Gui Han

Pages: 3307 - 3317

35) Adaptive Fuzzy Distributed Optimal Event-Triggered Control for High-Order Nonlinear Multiagent Systems

Author(s): Mengyuan Cui, Wenjun Zhang, Shaocheng Tong

Pages: 3318 - 3330

36) Optimal Containment Control of Heterogeneous Multiagent Systems With Unknown Dynamics and Actuator Faults via Fuzzy Reinforcement Learning

Author(s): Donghao Liu, Zehui Mao, Bin Jiang, Peng Shi, Yajie Ma

Pages: 3331 - 3344

37) Fuzzy Weighted Regularization for Fractional-Order Nonlinear Multiagent Systems Under Stackelberg–Nash Game

Author(s): Qian Kang, Dengxiu Yu, C. L. Philip Chen

Pages: 3345 - 3359

38) Predictor-Based Event-Triggered Optimized Control for Uncertain Nonlinear Systems With Time Delays: A Reinforcement Learning Approach

Author(s): Ping Li, Li Fu, Zhibao Song, Zhen Wang

Pages: 3360 - 3374

39) Redundant Structure-Based Multimotor Servo System Fuzzy Adaptive Fault-Tolerant Control via Unbalanced Torque Compensation

Author(s): Baofang Wang, Jingchen Yu, Hongmin Xin, Mingjie Cai, Hak-Keung Lam, Jinpeng Yu

Pages: 3375 - 3380

IEEE Transactions on Artificial Intelligence, Volume 6 Issue 9, September 2025

1) A Comprehensive Survey on Diagnostic Microscopic Imaging Modalities, Challenges, Taxonomy, and Future Directions for Cervical Abnormality Detection and Grading

Author(s): Anindita Mohanta, Sourav Dey Roy, Niharika Nath, Abhijit Datta, 

Mrinal Kanti Bhowmik

Pages: 2354 - 2383

2) Enhancement of Robot Dynamics Learning by Integrating Analytical Models into Deep Neural Networks: A Data Fusion Perspective

Author(s): Erfaan Rezvanfar, Jing Wang, Clarence W. de Silva

Pages: 2384 - 2394

3) Enabling Efficient and Interpretable Cybersecurity Reasoning Through Hyperdimensional Computing

Author(s): Ali Zakeri, Hanning Chen, Narayan Srinivasa, Hugo Latapie, Mohsen Imani

Pages: 2395 - 2408

4) GeoDCL: Weak Geometrical Distortion-Based Contrastive Learning for Fine-Grained Fashion Image Retrieval

Author(s): Ling Xiao, Toshihiko Yamasaki

Pages: 2409 - 2421

5) Large-Scale Heliostat Field Optimization for Solar Power Tower System Using Matrix-Based Differential Evolution

Author(s): Dan-Ting Duan, Jian-Yu Li, Bing Sun, Xiao-Fang Liu, Qiang Yang, Qi-Jia Jiang, Zhi-Hui Zhan, Sam Kwong, Jun Zhang

Pages: 2422 - 2436

6) An Adaptive Deep Learning Based Short-Term Wind Speed Forecasting Model for Variable Terrain Conditions

Author(s): Sourav Malakar, Saptarsi Goswami, Bhaswati Ganguli, Amlan Chakrabarti

Pages: 2437 - 2447

7) Deep Graph Convolutional Autoencoder With Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location

Author(s): Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar, Seyed Saeed Fazlhashemi

Pages: 2448 - 2463

8) Predicting Postgraduate Student Engagement Using Artificial Intelligence (AI)

Author(s): Niusha Shafiabady, Tebbin Koo, Fareed Ud Din, Kabir Sattarshetty, Margaret Yen, Mamoun Alazab, Ethar Alsharaydeh

Pages: 2464 - 2475

9) Non-uniform Illumination Attack for Fooling Convolutional Neural Networks

Author(s): Akshay Jain, Shiv Ram Dubey, Satish Kumar Singh, KC Santosh, Bidyut Baran Chaudhuri

Pages: 2476 - 2485

10) MalaNet: A Small World Inspired Neural Network for Automated Malaria Diagnosis

Author(s): Shubham Dwivedi, Kartikeya Pandey, Kumar Shubham, Om Jee Pandey, Achyut Mani Tripathi, Tushar Sandhan, Rajesh M. Hegde

Pages: 2486 - 2497

11) Unimodal Distributions for Ordinal Regression

Author(s): Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque

Pages: 2498 - 2509

12) Ensuring Reliable Learning in Graph Convolutional Networks: Convergence Analysis and Training Methodology

Author(s): Xinge Zhao, Chien Chern Cheah

Pages: 2510 - 2525

13) Detection of Unknown-Unknowns in Human-in-Loop Human-in-Plant Safety Critical Systems

Author(s): Aranyak Maity, Ayan Banerjee, Sandeep K. S. Gupta

Pages: 2526 - 2541

14) Learning From N-Tuple Similarities and Unlabeled Data

Author(s): Junpeng Li, Shuying Huang, Changchun Hua, Yana Yang

Pages: 2542 - 2551

Weekly Review 12 September 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. A comparison of some AI educational tools: https://www.insidehighered.com/opinion/columns/online-trending-now/2025/09/03/ai-companies-roll-out-educational-tools
2. Australian lawyer sanctioned after using AI to write a court submission: https://www.theguardian.com/law/2025/sep/03/lawyer-caught-using-ai-generated-false-citations-in-court-case-penalised-in-australian-first
3. Hiding AI prompt injection attacks in compressed images: https://www.extremetech.com/internet/researchers-find-hackers-can-hide-ai-prompt-attacks-in-compressed-images
4. Using AI to detect signs of consciousness in coma patients: https://dataconomy.com/2025/09/01/seeme-ai-consciousness-detection/
5. Flagging dodgy journals with AI: https://www.theregister.com/2025/08/31/ai_spies_questionable_science_journals/
6. Impersonating a chatbot that's impersonating a person or how human operators need to back-up AI: https://www.theguardian.com/technology/2022/dec/13/becoming-a-chatbot-my-life-as-a-real-estate-ais-human-backup
7. AI is another tool in the attacker's toolbox: https://www.computerworld.com/article/4048415/the-ai-powered-cyberattack-era-is-here.html
8. Even if it's an AI server, you still need to secure it: https://www.theregister.com/2025/09/02/exposed_ollama_servers_insecure_research/
9. AI code generators speed software production but you still need programmers to sort out the code they produce: https://dataconomy.com/2025/09/02/ai-boosts-developer-productivity-human-oversight-still-needed/
10. AI is just another tool being used by scammers. When will platforms like Meta actually put a stop to the scammers? Is Meta making money from them? https://www.stuff.co.nz/nz-news/360810721/35k-month-guaranteed-fake-luxon-video-targeting-kiwis
11. How much will this AI data centre boost India's carbon emissions? https://www.techrepublic.com/article/news-openai-stargate-india-data-centre/
12. When you deploy immature AI technology, the results can be frustrating and hilarious: https://techcrunch.com/2025/08/30/taco-bell-is-having-second-thoughts-about-relying-on-ai-at-the-drive-through/
13. Wouldn't it be better to build your AI so it doesn't tell people to end themselves? https://www.rnz.co.nz/news/world/571864/chatgpt-to-get-parental-controls-after-teen-s-death
14. How CIO need to prepare for AGI: https://www.informationweek.com/it-leadership/it-leadership-takes-on-agi
15. Doesn't matter how much computing power you have, if you don't know what you're doing it won't give you a good AI: https://techcrunch.com/2025/09/02/tesla-dojo-the-rise-and-fall-of-elon-musks-ai-supercomputer/
16. When the AI bubble bursts it's going to hurt the data centre operators: https://www.theregister.com/2025/09/02/goldman_sachs_ai_datacenters/
17. Now Wordpress is getting and AI website construction tool: https://techcrunch.com/2025/09/02/wordpress-shows-off-telex-its-experimental-ai-development-tool/
18. I suspect there are other AI companies that would be more desirable to deal with than Palantir: https://www.theguardian.com/uk-news/2025/aug/30/coventry-city-council-signs-ai-deal-contract-palantir-technologies
19. Researchers have identified 32 distinct AI dysfunctions, that resemble human psychiatric disorders: https://dataconomy.com/2025/09/01/psychopathia-machinalis-artificial-sanity-research/
20. Bring AI into home automation. Why not, they've shoveled it into everything else. https://www.theverge.com/ifa-berlin/768739/ai-could-bring-us-a-smarter-home-ifa-2025
21. Security flaws affect AI-enabled software just as much as any other kind of software: https://arstechnica.com/security/2025/08/google-warns-that-mass-data-theft-hitting-salesloft-ai-agent-has-grown-bigger/
22. AI companies are putting more and more money into buying politicians: https://www.theguardian.com/technology/2025/sep/02/ai-industry-pours-millions-into-politics
23. The AI certifications industry is looking for: https://www.computerworld.com/article/4049928/top-ai-certifications-that-will-get-you-hired-and-promoted.html
24. We're moving into a trough of disillusionment over AI: https://spectrum.ieee.org/gpt-5-trough-of-disillusionment
25. AI recruitment tools lead to the use of AI interview tools with candidates giving AI generated answers: https://www.stuff.co.nz/society/360808454/strange-behaviour-being-observed-job-interviews-its-sign-times
26. Time to start preparing for the AI bubble bursting: https://www.computerworld.com/article/4050041/how-to-prepare-for-an-ai-bubble-burst.html
27. AI is just another tool to be used by misogynists: https://www.nzherald.co.nz/world/fuelling-sexism-ai-bikini-interview-videos-flood-internet/HHMCD353JJBOFPMC3MTVD4OUH4/
28. Is calling an AI "clanker" really a slur? https://www.theguardian.com/technology/2025/sep/01/clanker-slur-against-robots-all-over-internet-is-it-offensive
29. Job carnage at Salesforce thanks to AI: https://www.theregister.com/2025/09/02/salesforce_4000_jobs_ai/

Soft Computing, Volume 29, Issue 11-12, June 2025

1) Enhanced ExpTODIM framework based on VIKOR for interval-valued intuitionistic fuzzy multiple-attribute group decision-making and applications to for college english blended teaching quality evaluation

Author(s): Yuan Huang, Ming Tang

Pages: 4559 - 4570

2) Conformable modeling of normalization and recursional soft spacelike magnetic curves

Author(s): Talat Körpinar, Zeliha Körpinar, Hatice Özdemir

Pages: 4571 - 4582

3) A Fine-Kinney-based new approach for occupational health and safety risk assessment using interval-valued neutrosophic MCDM and HOQ model integration

Author(s): Şura Toptanci, Nihal Erginel, Ilgin Acar

Pages: 4583 - 4612

4) Modified framework for sports event brand building evaluation with 2-tuple linguistic neutrosophic number group decision-making

Author(s): Jie Lian, Choi Kyung Hwan, Yongqing Hu

Pages: 4613 - 4625

5) TODIM-EDAS decision-making framework for emergency management capability evaluation of large-scale sports events under the background of rural revitalization

Author(s): Feng Yang, Minyu Xiao, Ke Xu

Pages: 4627 - 4639

6) An effective mobile robot path planner by optimizing multiple performance parameters inspired by sparrow’s Anti-predation exploration ability

Author(s): Sunil Kumar, Afzal Sikander

Pages: 4641 - 4658

7) Q-learning improved RBM for rate prediction in recommendation systems

Author(s): Arif Yelği

Pages: 4659 - 4671

8) Efficient thermal comfort estimation employing the C-Mantec constructive neural network model

Author(s): Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco

Pages: 4673 - 4684

9) Explainable-AI-assisted feature selection for software change-proneness prediction

Author(s): Ankit Rajpal, Megha Khanna, Naman Singhal

Pages: 4685 - 4709

10) Deep Gaussian processes with higher-order interface systems: a novel framework for predictive energy management in electric direct-drive wheels

Author(s): Hamid Taghavifar, Aref Mardani, Ardashir Mohammadzadeh

Pages: 4711 - 4724

11) Triplet dissimilarity: a texture classification approach using dissimilarity and siamese networks

Author(s): Lucas O. Teixeira, Diego Bertolini, Yandre M. G. Costa

Pages: 4725 - 4742

12) LDANet: enhancing USV's capacity for better segmentation of complex waterway scenes

Author(s): Tongyang Dai, Huiyu Xiang, Shishuo Han

Pages: 4743 - 4757

13) Chemical reaction optimization for solving maximum diversity problem

Author(s): Mahmudul Hasan, Md. Rafiqul Islam

Pages: 4759 - 4773

14) Automatic diabetic retinopathy detection using an ensemble learning approach and classifiers with self-adjusting weights

Author(s): Rahul Nadda, Jitender Singh, Ullas Shrivastava

Pages: 4775 - 4789

15) Properties and applications of some generalized means of positive sequences

Author(s): Marco Corazza, Giovanni Fasano, Silvio Giove

Pages: 4791 - 4805

Weekly Review 5 September 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. Rampant use of AI in an assignment leads one course lecturer to require every student to give a live presentation: https://www.stuff.co.nz/nz-news/360802436/one-slip-and-youre-guilty-universitys-unusual-ai-crackdown-rattles-students
2. AI is now being used to game academic performance metrics: https://www.rnz.co.nz/news/thedetail/571397/fake-citations-causing-real-world-damage
3. Why would you rely on AI to give you accurate information about international travel? https://www.msn.com/en-nz/news/other/chatgpt-lied-to-us-furious-couple-blames-ai-for-missed-flight/ar-AA1LjGAV
4. How much water does Google's AI really use? https://www.theregister.com/2025/08/22/googles_gemini_water/
5. It's easy to break AI guardrails, simply by using long run-on sentences: https://www.theregister.com/2025/08/26/breaking_llms_for_fun/
6. Yet another copyright lawsuit against and AI company: https://www.theregister.com/2025/08/26/perplexity_asahi_nikkei_lawsuits/
7. Google's AI is now hallucinating restaurant specials that don't exist: https://www.vice.com/en/article/pizza-joint-overwhelmed-with-angry-customers-asking-for-fake-deals-made-up-by-google-ai/
8. Data management still needs to improve in many organisations for them to make the most of AI: https://www.bigdatawire.com/2025/08/27/the-ai-beatings-will-continue-until-data-improves/
9. AI is impacting the job prospects of new tertiary graduates: https://www.theregister.com/2025/08/26/ai_hurts_recent_college_grads_jobs/
10. The question is, did the AI learn about the event from its training data, or did it coincidentally hallucinate something that really happened? https://arstechnica.com/information-technology/2025/08/ai-built-from-1800s-texts-surprises-creator-by-mentioning-real-1834-london-protests/
11. Specialised AI hardware for robotics: https://www.computerworld.com/article/4045542/nvidias-new-computer-gives-ai-brains-to-robots.html
12. People really need to learn that what an AI tells you probably isn't true: https://arstechnica.com/information-technology/2025/08/with-ai-chatbots-big-tech-is-moving-fast-and-breaking-people/
13. AI with search capabilities are using search to cheat in tests of their capabilities: https://www.theregister.com/2025/08/23/searchcapable_ai_agents_may_cheat/
14. Using AI to reduce the methane emissions of rice farms: https://techcrunch.com/2025/08/26/how-one-ai-startup-is-helping-rice-farmers-battle-climate-change/
15. Half of British workers are worried about the impact of AI: https://www.theguardian.com/technology/2025/aug/27/half-of-uk-adults-worry-that-ai-will-take-or-alter-their-job-poll-finds
16. An overview of AI, focusing more on generative AI: https://www.extremetech.com/computing/what-is-artificial-intelligence-from-agi-to-ai-slop-what-you-need-to-know
17. A research paper on the employment effects of AI: https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/
18. So many people are using AI to fake their way through job interviews that these companies are going back to face-to-face interviews: https://www.computerworld.com/article/4044734/to-counter-ai-cheating-companies-bring-back-in-person-job-interviews.html
19. Why one journalist really hates AI: https://www.theguardian.com/commentisfree/2025/aug/27/chatgpt-ai-planet-jobs-hate
20. If people are turning to AI for emotional support, it shows that there needs to be improved access to mental health services: https://arstechnica.com/information-technology/2025/08/after-teen-suicide-openai-claims-it-is-helping-people-when-they-need-it-most/
21. The AI bubble is close to bursting, and Microsoft is highly exposed: https://www.computerworld.com/article/4045573/could-microsofts-ai-billions-go-up-in-smoke.html
22. It's human nature to ascribe human traits to things, but we must remember that an AI is not a consistent personality: https://arstechnica.com/information-technology/2025/08/the-personhood-trap-how-ai-fakes-human-personality/
23. Using AI to fake crowd sizes doesn't improve your credibility: https://www.stuff.co.nz/culture/360802761/wait-did-will-smith-just-use-fake-ai-crowd-here-judge-yourself
24. The AI bubble is getting ever closer to bursting: https://www.theregister.com/2025/08/25/overinflated_ai_balloon/
25. AI is costing a lot of media companies money and it'll be a struggle to get it back: https://www.rnz.co.nz/news/mediawatch/570889/mediawatch-ai-and-a-last-ditch-bid-for-media-to-claw-back-online-revenue
26. Using AI to handle non-emergency calls in emergency call centres: https://techcrunch.com/2025/08/27/911-centers-are-so-understaffed-theyre-turning-to-ai-to-answer-calls/
27. Reducing the impact AI have on the power grid requires communication and coordination between data centres, grid operators, generators, hardware engineers and software developers: https://www.theregister.com/2025/08/22/microsoft_nvidia_openai_power_grid/
28. AI is now producing accurate hurricane predictions: https://arstechnica.com/science/2025/08/googles-ai-model-just-nailed-the-forecast-for-the-strongest-atlantic-storm-this-year/
29. This strikes me as a reasonable use of AI-why spend money to produce a concept illustration when an AI can do it? https://www.nzherald.co.nz/nz/hastings-library-mayoral-candidate-uses-ai-to-create-a-plan-for-inner-city-housing/PB3MR5MHCRDQPBTSKSN53SUHHY/
30. AI act like sycophants so the companies that own them can make more money: https://techcrunch.com/2025/08/25/ai-sycophancy-isnt-just-a-quirk-experts-consider-it-a-dark-pattern-to-turn-users-into-profit/
31. AI powered ransomware is now a thing, just not yet in the wild: https://www.theregister.com/2025/08/26/first_aipowered_ransomware_spotted_by/
32. AI web scraping bots are putting unsustainable loads on web hosts: https://www.extremetech.com/science/ai-crawlers-fetchers-put-an-unsustainable-load-on-the-internet
33. I don't think YouTube should be using AI to alter people's videos without at least asking first: https://arstechnica.com/google/2025/08/youtube-secretly-tested-ai-video-enhancement-without-notifying-creators/
34. Will AI lead to the rise of "superworkers"? https://www.datasciencecentral.com/how-ai-shapes-the-future-of-work-with-superworkers/
35. Three ways to make an AI you build useful: https://www.kdnuggets.com/tips-for-building-machine-learning-models-that-are-actually-useful
36. Whether AI are beings or just tools seems to be at the heart of the debate around moral treatment of AI: https://www.theguardian.com/technology/2025/aug/26/can-ais-suffer-big-tech-and-users-grapple-with-one-of-most-unsettling-questions-of-our-times
37. AI is a good assistant for programmers, but cannot yet replace them: https://spectrum.ieee.org/ai-for-coding
38. AI leads to another suicide: https://arstechnica.com/tech-policy/2025/08/chatgpt-helped-teen-plan-suicide-after-safeguards-failed-openai-admits/

Complex & Intelligent Systems, Volume 11, Issue 9, September 2025

1) Advanced risk prediction in healthcare: Neutrosophic Graph Neural Networks for disease transmission

Author(s): A. Meenakshi, J. Shivangi Mishra, Sovan Samanta

2) Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data

Author(s): Yifeng Zhang, Qianqian Ren, Meng Han

3) Spatial correspondence matching based feature fusion for object tracking with attention learning

Author(s): Yuanyun Wang, Wenhui Yang, Jun Wang

4) A multi-objective optimization framework based on information sharing for serially connected robot design

Author(s): Jiliang Zhao, Wei Peng, Wen Yao

5) Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing

Author(s): Fengling Huang, Xuqi Su, Fusen Guo

6) A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems

Author(s): Lei Wang, Kongfu Hu, Qiangqiang Xia

7) A review of state-of-the-art techniques for large language model compression

Author(s): Pierre V. Dantas, Lucas C. Cordeiro, Waldir S. S. Junior

8) Logic-optimization behavior tree algorithm for enhanced autonomous underwater vehicle cooperative decision-making

Author(s): Dan Yu, Changjian Lin, Nan Liu

9) The heterogeneous federated recommendation framework based on adversarial training

Author(s): Suqi Zhang, Yajuan Li, Wang Zhao

10) Enhancing aspect-based sentiment analysis with multiple-knowledge promotion and multi-perspective noise filtering

Author(s): Juan Yang, Yali Xiao, Xu Du

11) Towards fair class-wise robustness: class optimal distribution adversarial training

Author(s): Hongxin Zhi, Hongtao Yu, Yiteng wu

12) Hierarchical distributed edge data aggregation and reporting method based on cluster center selection

Author(s): Wensheng Yang, Chengsheng Pan

13) SPSleepNet: enhancing EEG-based sleep staging for OSA patients via sleep position integration

Author(s): Yue Zhang, Xihe Qiu, Jingjing Huang

14) Multi-scale CNN-CrossViT network for offline handwritten signature recognition and verification

Author(s): Wanying Li, Mahpirat Muhammat, Kurban Ubul

15) Life prediction and health assessment of aero-engine gas path using digital twin and deep learning

Author(s): Mingyue Wu, Hong Zhou, Shuhong Ren

16) Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques

Author(s): Touseef Ur Rehman, Madallah Alruwaili, Maaz Alam

17) Enhanced pulmonary nodule detection using a transformer framework with dual fusion and gated mechanism

Author(s): Kelei Sun, Yihang Wang, Huaping Zhou

18) Stock movement prediction with multimodal stable fusion via gated cross-attention mechanism

Author(s): Chang Zong, Jian Wan, Hang Zhou

19) Local–global feature fusion for enhanced Alzheimer’s detection: a multi-scale attention-driven MRI classification model

Author(s): Kerang Cao, Zhongqing Lu, Hoekyung Jung

20) Industrialization in development countries based on the MABAC method and Hamacher power aggregation operators for circular spherical fuzzy 2-tuple linguistic information

Author(s): Zeeshan Ali, Miin-Shen Yang

21) An investigation into multi-objective decision-making in fresh cold chain supply chain networks within a dual distribution framework

Author(s): Junyan Sun, Xing Li, Zefei Chen

22) Learning to solving vehicle routing problems via local–global feature fusion transformer

Author(s): Wei Li, Bing Tian Dai, Jingwen Li

23) Privacy attack in federated learning is not easy: an experimental study

Author(s): Hangyu Zhu, Liyuan Huang, Zhenping Xie

24) A new genetic programming approach to fine-grained flower image classification

Author(s): Qinyu Wang, Ying Bi, Mengjie Zhang

25) RSA modulus length regression prediction based on the Run Test and machine learning in the ciphertext-only scenarios

Author(s): Ke Yuan, Chenmeng Zhao, Chunfu Jia

26) Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees

Author(s): Florian van Daalen, Djura Smits, Inigo Bermejo

27) A multimodal DTA prediction method based on triple-view contrastive learning

Author(s): Xiaoxing Pang, Zhixian Liu, Jiahai Liang

28) A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches

Author(s): Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Vittorio Astarita

29) A novel displacement accurate tracking algorithm to improve the effectiveness of SASC pneumatic system in practical applications

Author(s): Jiaxing Lu, Yan Shi, Changhui Wang

30) A hierarchical multi-channel multi-modality fusion strategy for integrating digital mammography and synthesized digital breast tomosynthesis for breast mass discrimination

Author(s): Qiang He, Xuetao Wang, Xin Zhen

31) Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion

Author(s): Zhike Qiu, Yuhao Qin, Rui Cai

32) Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion

Author(s): Canghong Shi, Xin Qiu, Sani M. Abdullahi

33) STNet: a lightweight spectral transform framework for salient object detection

Author(s): Baoyu Wang, Mao Yang, Yan Liu

34) A novel Mamba-hypergraph enhanced time-frequency fusion network for multivariate time series classification

Author(s): Jianjian Jiang, Chuxin Zhuang, Jianfeng Peng

35) Model-output-based federated Bayesian optimization

Author(s): Lin Yang, Qiqi Liu, Junhua Gu

36) BDEKD: mitigating backdoor attacks in NLP models via ensemble knowledge distillation

Author(s): Zijie Zhang, Xinyuan Miao, Yi Cao

37) Mixed multi-branch feature fusion model for efficient automatic building extraction from high-resolution remote sensing images

Author(s): Yaohui Liu, Shuzhe Zhang, Fei Su

38) Privacy-aware electric vehicle load forecasting via blockchain-based federated transfer learning

Author(s): Ruochen Jin, Hong Liu

39) Adaptive infant cry classification using multi-armed bandit modality selection in an attentive convolutional recurrent neural network model

Author(s): Geofrey Owino, Timothy Kamanu, Conlet Biketi Kikechi

Call for Papers: Special Issues of IEEE Transactions on Evolutionary Computation

Upcoming paper submission deadlines for special issues of IEEE Transactions on Evolutionary Computation.

The deadline for papers submitted to the Special Issue on Physics-Informed Evolutionary Computation: Advances and Applications is 31 October 2025.

The deadline for papers submitted to the Special Issue on Learning-assisted Swarm Intelligence and Evolutionary Computation: Theories, Algorithms, and Applications 31 March 2026.