Weekly Review 5 December 2025

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

1. The pressures on artists to use AI, and the backlash against it: https://arstechnica.com/features/2025/11/go-generate-a-bridge-and-jump-off-it-how-video-pros-are-navigating-ai/
2. The dangers AI pose to students' mental health: https://www.insidehighered.com/opinion/views/2025/11/25/chatgpt-poses-risk-student-mental-health-opinion
3. Another enormous investment in infrastructure for AI: https://techcrunch.com/2025/11/24/aws-is-spending-50b-build-ai-infrastructure-for-the-us-government/
4. I lived through the 80s, and enjoyed the 80s, but not enough to want to use AI to fake nostalgic videos: https://www.nzherald.co.nz/world/fake-ai-nostalgia-videos-have-a-new-generation-loving-1980s-life/7C2KVUHZQBDHZMRGUBYZ37W2GU/
5. 11.7% of the US workforce can be replaced with AI: https://www.cnbc.com/2025/11/26/mit-study-finds-ai-can-already-replace-11point7percent-of-us-workforce.html
6. AI produce novel proteins directly from bacterial genome: https://arstechnica.com/science/2025/11/generative-ai-meets-the-genome/
7. A tip for AI companies-if your AI helps a user commit suicide, don't blame the user: https://arstechnica.com/tech-policy/2025/11/openai-says-dead-teen-violated-tos-when-he-used-chatgpt-to-plan-suicide/
8. The current state of AI in cybersecurity, and where it's going: https://www.informationweek.com/cyber-resilience/what-ai-gets-right-in-cybersecurity-and-where-it-must-improve
9. The fundamental problem behind the AI bubble: https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problems
10. Really, it's still early days in using AI in the workplace: https://www.computerworld.com/article/4096980/ai-fluency-in-the-enterprise-still-a-horseless-carriage.html
11. How AI is improving job searches on LinkedIn: https://www.computerworld.com/article/4096076/how-linkedin-is-using-ai-to-improve-its-job-search-features.html
12. More and more AI generated slop is on the internet, will consumers get a chance to choose to say no? https://www.computerworld.com/article/4094557/the-world-is-split-between-ai-sloppers-and-stoppers.html
13. Students are increasingly using AI as a learning aid, rather than a cheating tool: https://www.insidehighered.com/opinion/views/2025/11/26/case-ai-accommodation-opinion
14. AI in search is changing how companies present themselves online: https://www.rnz.co.nz/news/business/580085/it-s-interesting-times-how-ai-is-changing-the-search-for-information-in-nz
15. The British government is investing more in growing the AI sector: https://arstechnica.com/information-technology/2025/11/uk-government-will-buy-tech-to-boost-ai-sector-in-130m-growth-push/
16. A new benchmark for measuring the capacity of an AI to cause harm: https://techcrunch.com/2025/11/24/a-new-ai-benchmark-tests-whether-chatbots-protect-human-wellbeing/
17. Are Microsoft's statements on AI meaningful? https://www.computerworld.com/article/4093970/is-microsofts-humanist-superintelligence-vision-more-than-an-empty-slogan.html
18. Guardrails. If you put AI in kids toys, you need really good guardrails: https://www.theguardian.com/technology/2025/nov/28/artificial-intelligence-smart-toys
19. AI don't get puns. Dads everywhere are safe: https://www.theguardian.com/technology/2025/nov/24/ai-doesnt-get-puns-study-finds
20. Scientific datasets need to be restructured to allow them to be used by AI: https://www.hpcwire.com/bigdatawire/2025/11/27/the-global-race-to-build-ai-ready-scientific-datasets/
21. Amazon staff start pushing back against AI: https://www.theguardian.com/technology/2025/nov/28/amazon-ai-climate-change
22. Why vibe coding won't last: https://www.theregister.com/2025/11/24/opinion_column_vibe_coding/
23. Can we really trust a government AI to keep our information private: https://www.rnz.co.nz/news/national/580094/mental-health-data-won-t-be-misused-by-new-ai-navigation-tool-minister
24. AI will break safety rules if it means getting things done under pressure: https://spectrum.ieee.org/ai-agents-safety

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 12, December 2025

1) Generative Agents in Agent-Based Modeling: Overview, Validation, and Emerging Challenges

Author(s): Carlo Adornetto, Adrian Mora, Kai Hu, Leticia Izquierdo Garcia, Parfait Atchade-Adelomou, Gianluigi Greco, Luis Alberto Alonso Pastor, Kent Larson

Pages: 3165 - 3183

2) KnowZRel: Common Sense Knowledge-Based Zero-Shot Relationship Retrieval for Generalized Scene Graph Generation

Author(s): M. Jaleed Khan, John G. Breslin, Edward Curry

Pages: 3184 - 3194

3) Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics

Author(s): Md Abrar Jahin, Md. Akmol Masud, Md Wahiduzzaman Suva, M. F. Mridha, Nilanjan Dey

Pages: 3195 - 3206

4) Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach

Author(s): Zhenbang Du, Jiayu An, Yunlu Tu, Jiahao Hong, Dongrui Wu

Pages: 3207 - 3216

5) Reinforcement Learning for Efficient Multiagent Task Allocation in Potential Game Model

Author(s): Yuxing Xing, Caixia Chen, Jie Wu, Jie Chen

Pages: 3217 - 3231

6) Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling

Author(s): Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang

Pages: 3232 - 3247

7) Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data

Author(s): Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph

Pages: 3248 - 3257

8) Fuzzy Information Quantity Measurement and Feature Selection by Macrogranular Entropy

Author(s): Zhilin Zhu, Chucai Zhang, Jianhua Dai

Pages: 3258 - 3272

9) Efficient Transformer Inference Through Hybrid Dynamic Pruning

Author(s): Ghadeer A. Jaradat, Mohammed F. Tolba, Ghada Alsuhli, Hani Saleh, Mahmoud Al-Qutayri, Thanos Stouraitis

Pages: 3273 - 3286

10) Is Perceptual Encryption Secure? A Security Benchmark for Perceptual Encryption Methods

Author(s): Umesh Kashyap, Sudev Kumar Padhi, Sk. Subidh Ali

Pages: 3287 - 3296

11) Location, Neighborhood, and Semantic Guidance Network for RGB-D Co-Salient Object Detection

Author(s): Wujie Zhou, Bingying Wang, Xiena Dong, Caie Xu, Fangfang Qiang

Pages: 3297 - 3311

12) RSMBSP-DON: RNA-Small Molecule Binding Sites Prediction by Dual-Path Feature Extraction and One-Dimensional Multiscale Feature Fusion Network

Author(s): Xiao Yang, Zhan-Li Sun, Mengya Liu, Zhigang Zeng, Kin-Man Lam, Xin Wang

Pages: 3312 - 3320

13) ECG_DEEPNet: A Novel Approach for Delineation and Classification of Electrocardiogram Signal Based on Ensemble Deep-Learning

Author(s): Neenu Sharma, Deepak Joshi

Pages: 3321 - 3335

14) Prescribed Performance Resilient Motion Coordination With Actor–Critic Reinforcement Learning Design for UAV-USV Systems

Author(s): Jawhar Ghommam, Maarouf Saad, Mohammad H. Rahman, Quanmin Zhu

Pages: 3336 - 3350

15) Quantization-Based 3D-CNNs Through Circular Gradual Unfreezing for DeepFake Detection

Author(s): Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas

Pages: 3351 - 3363

16) A Multitropical Cyclone Trajectory Prediction Method Based on Density Maps With Memory and Data Fusion

Author(s): Dongfang Ma, Zhaoyang Ma, Chengying Wu, Jianmin Lin

Pages: 3364 - 3376

17) EncryptFlow: Efficient and Lossless Image Encryption Network Based on Normalizing Flows

Author(s): Menglin Yang, Dong Xie, Guiting Zhang, Fulong Chen, Taochun Wang, Peng Hu

Pages: 3377 - 3390

18) Learn to Learn: A Mirror Meta-Learning Method for Retinal Disease Diagnosis on Fundus Images

Author(s): Haoran Peng, Jianqiang Li, Wenxiu Cheng, Linna Zhao, Yu Guan, Zhaosheng Li, Li Li, Xi Xu

Pages: 3391 - 3405

19) Video-Based Human-Posture Monitoring From RGB-D Cameras

Author(s): Pavana Pradeep Kumar, Krishna Kant, Francesco Di Rienzo, Carlo Vallati

Pages: 3406 - 3416

20) Production Disentanglement and Exogenous Analysis Transformer for Petroleum Production Prediction

Author(s): Ji Chang, Yu Kang, Wenjun Lv

Pages: 3417 - 3429

21) Towards Efficient Multi-UAV Air Combat: An Intention Inference and Sparse Transmission Based Multiagent Reinforcement Learning Algorithm

Author(s): Jinchao Han, Yan Yan, Baoxian Zhang

Pages: 3441 - 3452

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 9, Issue 6, December 2025

1) Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic Review

Author(s): Idrees A. Zahid, Salem Garfan, M.A. Chyad, A. S. Albahri, O. S. Albahri, A. H. Alamoodi, Muhammet Deveci, Raad Z. Homod, Laith Alzubaidi

Pages: 3728 - 3753

2) Towards a Comprehensive Taxonomy of Pointwise Reliability Assessment Techniques for Machine Learning Models

Author(s): João Loureiro, Lorena Petrella, Paulo Gil, Teresa Rocha, Simão Paredes, Jorge Henriques

Pages: 3754 - 3772

3) Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges

Author(s): Zubin Zheng, Shengcai Liu, Yew-Soon Ong

Pages: 3773 - 3787

4) RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis

Author(s): Md Mostafizer Rahman, Ariful Islam Shiplu, Yutaka Watanobe, Md Ashad Alam

Pages: 3788 - 3805

5) Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations

Author(s): Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang

Pages: 3806 - 3820

6) How to Characterize Imprecision in Multi-View Clustering?

Author(s): Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Zhe Liu, Weiping Ding

Pages: 3821 - 3832

7) A Surrogate-Assisted Multi-Phase Ensemble Feature Selection Algorithm With Particle Swarm Optimization in Imbalanced Data

Author(s): Xianfang Song, Zhi Jiang, Yong Zhang, Chao Peng, Yinan Guo

Pages: 3833 - 3848

8) Binary Tree Population Structure-Based Differential Evolution

Author(s): Lin Zhong, Yirui Wang, Kaiyu Wang, Qingya Sui, Zhenyu Lei, Shangce Gao

Pages: 3849 - 3861

9) CC-GBLS: Collaborative-Competitive Representation-Based Graph Regularized Broad Learning System for Osteoporosis Diagnosis

Author(s): Zhangtianyi Chen, Junwei Duan, Jing Wang, Weiping Ding, C. L. Philip Chen

Pages: 3862 - 3880

10) CMOA-Net: Competent Multi-Observant Attention Network for Single-Image Super-Resolution

Author(s): Inderjeet, J. S. Sahambi

Pages: 3881 - 3894

11) Collaborating Constrained and Unconstrained Encodings for Cross-Modal Salient Object Detection

Author(s): Zhaojian Yao, Wei Gao, Ge Li, Tiesong Zhao

Pages: 3895 - 3909

12) FedCGP: Cluster-Based Gradual Personalization for Federated Medical Image Segmentation

Author(s): Ke Niu, Wenjuan Tai, Jiuyun Cai, Yuhang Zhou, Heng Li

Pages: 3910 - 3921

13) MaNSGA-II: Many-Objective NSGA-II

Author(s): Lie Meng Pang, Hisao Ishibuchi, Kalyanmoy Deb, Ke Shang

Pages: 3922 - 3937

14) Semi-CLMT: A Semi-Supervised Framework for Medical Image Segmentation

Author(s): Xiangyu Kong, Zeyu Ren, Hengde Zhu, Shuihua Wang, Lu Liu

Pages: 3938 - 3950

15) 3DMM-GAN: Multi-Modal Alignment With Adversarial Learning for Compositional 3D Human Image Synthesis

Author(s): Tianyi Chen, Hongxin Fu, Hao Wang, Yan Huang, Si Wu, Yong Xu, Dapeng Wu

Pages: 3951 - 3963

16) A Concurrent Learning-Based Adaptive Observer for a Class of Uncertain Parabolic PDE Systems

Author(s): Yu Xiao, Mingxing Cai, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Tingwen Huang

Pages: 3964 - 3975

17) FLARE: Fuzzy Local Agnostic Rule-Based Explanations for Closed Box Classifiers

Author(s): Guillermo Fernández, Juan A. Aledo, Jose A. Gámez, Jose M. Puerta

Pages: 3976 - 3990

18) Self-Supervised Medical Adversarial Robustness With Two-Stage Contrastive Constraints

Author(s): Yishu Liu, Shuobin Lin, Bingzhi Chen, Zheng Zhang, Guangming Lu

Pages: 3991 - 4002

19) Inter-Class and Intra-Class Re-Weighting for Topological-Imbalance Graph Neural Networks

Author(s): Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng, Guanfeng Liu

Pages: 4003 - 4014

20) Learning From Crowds by Class-Specific Instance Weighting

Author(s): Qiang Ji, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li

Pages: 4015 - 4025

21) Learn to Adapt: A Policy for History-Based Online Adaptation

Author(s): Peter Farkas, Laszlo Szoke, Szilard Aradi, Tamas Becsi

Pages: 4026 - 4036

22) Constrained Multi-Objective Optimization With Constraint Priority

Author(s): Xinyu Zhou, Yanjun Zhu, Yizhi Wang, Ruiqing Sun, Juan Zou

Pages: 4037 - 4050

23) Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation

Author(s): Yanhong Li, Yibing Zhan, Baosheng Yu, Zhonghai Wang, Chong Zhang, Da Zhu, Chengli Zhou, Bohao Zhou, Liang Ding, Weifeng Liu, Xiongbing Wang, Dapeng Tao

Pages: 4051 - 4065

24) Nonconvex Low-Tubal-Rank Tensor Completion With Temporal Regularization for Spatiotemporal Traffic Data Recovery

Author(s): Xiaobo Chen, Kaiyuan Wang, Qiaolin Ye

Pages: 4066 - 4079

25) FLAME: Federated Learning With Masked Autoencoders and Mean-Prototypes Embedding for Sparsely Labeled Medical Images

Author(s): Mayank Kumar Kundalwal, Deepak Mishra

Pages: 4080 - 4091

26) Swarm Imitation Learning From Observations

Author(s): Aya Hussein, Eleni Petraki, Hussein A. Abbass

Pages: 4092 - 4105

27) Object-Aware Image Augmentation for Audio-Visual Zero-Shot Learning

Author(s): Yujie Dong, Shiming Chen, Bowen Duan, Weiping Ding, Yisong Wang, Xinge You

Pages: 4106 - 4118

28) Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems

Author(s): Yuzhe Liu, Wenjian Luo, Yingying Qiao, Kesheng Chen, Yuhui Shi

Pages: 4119 - 4132

29) In Vivo Computational Strategy for Tumor Targeting in Co-Associated Biological Landscapes

Author(s): Shaolong Shi, Zhaoyang Jiang, Qiang Liu, Qingfu Zhang, Yifan Chen

Pages: 4133 - 4144

30) Robust Low-Rank Tensor Constrained Orthogonal Symmetric Non-Negative Matrix Factorization for Multi-Layer Networks Community Detection

Author(s): Qianlong Zhou, Hangjun Che, Wei Guo, Xing He, Man-Fai Leung, Shiping Wen

Pages: 4145 - 4160

31) GA-ComFit: A Genetic Algorithm With Community Fitness Sharing Niching for Multimodal Opinion Maximization

Author(s): Rong Wan, Feng-Feng Wei, Wei-Neng Chen

Pages: 4161 - 4174

32) Prototype Combination for Multi-Source Unsupervised Domain Adaptation

Author(s): Min Huang, Zifeng Xie, Han Huang, Chang Zhang, Liuqi Zhao, Ziyan Feng

Pages: 4175 - 4190

33) E2G-Net: Enhancing Efficiency in Graph Neural Networks With Early-Exit Branches

Author(s): Haseena Rahmath P, Kuldeep Chaurasia, Anika

Pages: 4191 - 4201

34) FedSlate: A Federated Deep Reinforcement Learning Recommender System

Author(s): Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Yaochu Jin

Pages: 4202 - 4216

35) Enhancing Federated Learning Through Differential Privacy: Introducing FedHybrid for Multicenter Diverse Heart Disease Datasets

Author(s): Madhuri Dubey, Jitendra Tembhurne, Richa Makhijani

Pages: 4217 - 4230

36) Novel Pooling-Based VGG-Lite for Pneumonia and Covid-19 Detection From Imbalanced Chest X-Ray Datasets

Author(s): Santanu Roy, Ashvath Suresh, Palak Sahu, Achintya Roy, Tulika Rudra Gupta

Pages: 4231 - 4242

37) MSPredictor: A Multi-Scale Dynamic Graph Neural Network for Multivariate Time Series Prediction

Author(s): Jiashan Wan, Na Xia, Gongwen Li, Jingyang Li, Jinhua Wu, Xulei Pan, Mengqi Lian

Pages: 4243 - 4257

38) Generalization-Enhanced Feature-Wise and Correlation Attentions for Cross-Database Facial Expression Recognition

Author(s): Weicheng Xie, Tao Zhong, Fan Yang, Siyang Song, Zitong Yu, Linlin Shen

Pages: 4258 - 4272

39) Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification

Author(s): Chunli Sun, Qinghai Guo, Luziwei Leng, Feng Wu, Feng Zhao

Pages: 4273 - 4287

40) Textual Graph Representation With Syntactic Weighting for Implicit Sentiment Analysis

Author(s): Shunxiang Zhang, Jiawei Li, Shuyu Li, Wenjie Duan, Zhongliang Wei, Kuan-Ching Li

Pages: 4288 - 4299

Weekly Review 28 November 2025

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

1. AI generated workslop just makes more work for other people: https://www.rnz.co.nz/life/lifestyle/what-is-workslop
2. Everyone should be using AI so they can learn the difference between a good AI output and a bad AI output: https://www.informationweek.com/it-leadership/is-it-time-for-everyone-to-become-ai-power-users-
3. A new programming AI that can handle larger codebases: https://dataconomy.com/2025/11/20/openai-says-its-new-coding-model-can-work-for-24-hours-straight/
4. AI combined with drones speed power line maintenance: https://www.rnz.co.nz/news/business/579344/drones-linked-to-ai-used-to-help-fix-power-grids
5. What people are really sharing with AI: https://www.stuff.co.nz/world-news/360891883/what-you-should-know-trove-chatgpt-conversations-was-analysed
6. Even with mitigation techniques, AI still uses a lot of energy and a lot of water: https://www.techrepublic.com/article/news-energy-water-demands-sustainability-fears/
7. I would never use AI generated material in any course I teach: https://www.theguardian.com/education/2025/nov/20/university-of-staffordshire-course-taught-in-large-part-by-ai-artificial-intelligence
8. Attacks on AI guardrails are increasing and the protection is mostly inadequate: https://www.theregister.com/2025/11/14/ai_guardrails_prompt_injections_echogram_tokens/
9. Even having an AI generated book cover on a human written book is enough to get the book disqualified from a literary prize: https://www.rnz.co.nz/life/books/top-writers-ruled-out-of-nz-book-awards-due-to-ai-covers
10. The people who work to build AI are the ones who trust it the least: https://www.theguardian.com/technology/2025/nov/22/ai-workers-tell-family-stay-away
11. Google's ambitious plans to build more AI compute infrastructure: https://arstechnica.com/ai/2025/11/google-tells-employees-it-must-double-capacity-every-6-months-to-meet-ai-demand/
12. New Zealand retailers are using AI to stay competitive: https://www.nzherald.co.nz/nz/retailers-adopting-artificial-intelligence-to-compete-against-global-giants/6VST4BKTDBDPXBOMVXTQQYU3BU/
13. Curiosity Stream is now making most of its money licensing material to AI companies: https://arstechnica.com/gadgets/2025/11/curiosity-stream-expects-to-make-most-of-its-money-from-ai-deals-by-2027/
14. Higher education was not in a golden age before the appearance of generative AI: https://www.insidehighered.com/opinion/views/2025/11/20/no-pre-ai-era-was-not-great-opinion
15. The problem with using AI to provide advice on moving people off of ACC is that bureaucrats are lazy and will just do what the AI says: https://www.rnz.co.nz/news/national/579083/acc-s-use-of-ai-to-help-decide-who-gets-help-shocks-advocate
16. New Zealand hospitals are rolling out an AI tool for transcribing clinical notes: https://www.rnz.co.nz/news/national/579400/ai-scribe-tool-rolled-out-to-emergency-departments-promises-to-slash-clinicians-admin
17. Science uses AI more and more, but that means that those who can't afford to access the AI get shut out: https://www.hpcwire.com/bigdatawire/2025/11/21/the-compute-divide-in-ai-driven-science/
18. Microsoft continues to be disconnected from what its users really want with AI: https://www.theregister.com/2025/11/21/microsoft_ai_boss_comment/
19. A new maths benchmark shows that AI are actually bad at maths: https://www.theregister.com/2025/11/17/ai_bad_math_orca/
20. AI is accelerating scientific discoveries: https://www.theregister.com/2025/11/18/future_of_scientific_computing/
21. The AI bubble is destabilising the market:  https://www.rnz.co.nz/news/business/579606/stocks-lose-steam-on-ai-concerns-us-jobs-data
22. AI generated music is being produced at such a rate it risks overwhelming human made music: https://www.theregister.com/2025/11/17/ai_music/
23. When the AI bubble bursts it's going to cause a lot of damage: https://www.stuff.co.nz/money/360890298/ai-bubble-worlds-most-important-stock-could-shake-your-kiwisaver-week
24. It looks like Google's AI can't tell the difference between a person and 5.6m high statue: https://www.stuff.co.nz/culture/360884919/blurred-vision-what-google-and-apple-have-done-famous-new-zealand-statue

Weekly Review 21 November 2025

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

1. Microsoft says there is no AI bubble: https://www.computerworld.com/article/4087593/about-that-ai-bubble-microsoft-doesnt-see-one.html
2. AI country songs have come a long way since "You Can't Take My Door": https://www.rnz.co.nz/news/world/578654/ai-country-song-rollicks-to-the-top-of-us-sales-chart
3. AI mostly memorise, they don't really learn how to do things: https://arstechnica.com/ai/2025/11/study-finds-ai-models-store-memories-and-logic-in-different-neural-regions/
4. AI give themselves away by being too polite: https://arstechnica.com/information-technology/2025/11/being-too-nice-online-is-a-dead-giveaway-for-ai-bots-study-suggests/
5. This is the precedent AI companies didn't want: https://www.theguardian.com/technology/2025/nov/11/chatgpt-violated-copyright-laws-german-court-rules 
6. AI are still limited in their self-awareness of their reasoning processes: https://dataconomy.com/2025/11/11/anthropic-study-finds-ai-has-limited-self-awareness-of-its-own-thoughts/
7. Could AI reallt prevent prisoners from being released by mistake? https://www.theguardian.com/society/2025/nov/10/ai-chatbots-stop-prisoner-release-errors
8. While AI needs more and more data centres, in some parts of the world the environmental cost is causing push back: https://www.theguardian.com/technology/2025/nov/10/data-centers-latin-america
9. Most organisations are still seeing only minimal gains from rolling out AI: https://www.hpcwire.com/bigdatawire/2025/11/11/ai-is-everywhere-but-progress-is-slow-mckinsey-explains-why/
10. AI hasn't eliminated as many jobs as feared: https://www.rnz.co.nz/news/business/578397/is-ai-really-coming-for-our-jobs-and-wages-past-predictions-of-a-robot-apocalypse-offer-some-clues
11. Five free books to help you get into AI: https://www.kdnuggets.com/the-5-free-must-read-books-for-every-ai-engineer
12. AI chatbots can make eating disorders worse: https://www.theverge.com/news/818508/chatbot-eating-disorder-mental-health
13. The excuses lawyers have come up with after getting caught using AI to generate filings: https://arstechnica.com/tech-policy/2025/11/lawyers-keep-giving-weak-sauce-excuses-for-fake-ai-citations-in-court-docs/
14. A new AI framework that allows AI to train themselves without human involvement: https://www.computerworld.com/article/4088523/metas-spice-framework-pushes-ai-toward-self-learning-without-human-supervision-2.html
15. AI companies keep leaking their own secrets: https://www.techrepublic.com/article/news-ai-giants-secrets-github/
16. AI tools could program better than the Vibe Coding currently in use: https://www.theregister.com/2025/11/07/researchers_detail_legible_software_model/
17. The AI bubble is real and a collapse is coming: https://www.rnz.co.nz/news/thedetail/578574/artificial-intelligence-is-here-to-stay-but-what-about-the-companies-booming-from-it
18. Dealing with the hidden costs of AI: https://www.informationweek.com/it-leadership/how-a-cio-can-detect-and-address-ai-s-hidden-costs
19. Five AI industry terms you should know: https://www.theregister.com/2025/11/10/ai_credibility_buzzwords/
20. AI won't reach superintelligence anytime soon, but it is still useful: https://www.theregister.com/2025/11/11/ai_experts_forecast/
21. Most tertiary students know how and when to use AI, because their teachers told them: https://www.insidehighered.com/news/student-success/academic-life/2025/11/11/faculty-lead-ai-usage-conversations-college-campuses
22. Global divisions in the backend and application layers of AI: https://techcrunch.com/2025/11/11/the-global-race-for-the-ai-app-layer-is-still-on/
23. Excessive use of AI shows such intellectual laziness it's unattractive: https://www.theguardian.com/lifeandstyle/2025/nov/10/chatgpt-dating-ick
24. A smart bandage that uses AI to accelerate wound healing: https://spectrum.ieee.org/smart-bandage-ai-electrical-stimulation

Weekly Review 14 November 2025

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

1. When the AI bubble bursts, how much damage is it going to cause? https://www.stuff.co.nz/business/360877272/fears-ai-bubble-correction-mount-despite-wall-st-rises
2. No, AI written ransomware is not in the wild: https://www.theregister.com/2025/11/03/mit_sloan_updates_ai_ransomware_paper/
3. It looks like most tests for AI safety are fundamentally flawed: https://www.theguardian.com/technology/2025/nov/04/experts-find-flaws-hundreds-tests-check-ai-safety-effectiveness
4. What should CIO do when IT staff get laid off in favour of AI? https://www.informationweek.com/machine-learning-ai/when-ai-is-the-reason-for-mass-layoffs-how-must-cios-respond-
5. A lot of money has been spent on data centres for AI. Will it pay off? https://www.theguardian.com/technology/2025/nov/02/global-datacentre-boom-investment-debt
6. Is prompt injection an unfixable security flaw in AI browsers? https://www.theregister.com/2025/10/28/ai_browsers_prompt_injection/
7. Are orbital AI data centres really feasible? https://arstechnica.com/google/2025/11/meet-project-suncatcher-googles-plan-to-put-ai-data-centers-in-space/
8. Grok's AI encyclopedia either reproduces Wikipedia's material or produces complete garbage: https://www.theguardian.com/technology/2025/nov/03/grokipedia-academics-assess-elon-musk-ai-powered-encyclopedia
9. A class of students were caught using AI to cheat, and used AI to write their apology letters: https://arstechnica.com/culture/2025/10/when-caught-cheating-in-college-dont-apologize-with-ai/
10. arXiv bans certain types of submissions after rise of AI generated slop: https://www.404media.co/arxiv-changes-rules-after-getting-spammed-with-ai-generated-research-papers/
11. When students use AI to do their homework, they become lass able to do the work themselves: https://www.theregister.com/2025/11/03/chatgpt_real_understanding/
12. AI browsers can do some useful things, but cannot be trusted: https://www.computerworld.com/article/4083528/ai-web-browsers-are-cool-helpful-and-utterly-untrustworthy.html
13. More AI slop advertising: https://dataconomy.com/2025/11/04/coca-colas-new-ai-generated-christmas-ad-shows-why-generative-video-still-struggles-with-realism/
14. Which AI markets are dominated by current players, and which are still open: https://techcrunch.com/2025/11/03/elad-gil-on-which-ai-markets-have-winners-and-which-are-still-wide-open/
15. Microsoft apologises for its confusing pricing around its AI offerings: https://www.stuff.co.nz/nz-news/360878414/microsoft-apologises-offer-refunds-after-ai-price-hike
16. A decentralised AI, that doesn't need a data centre: https://www.theregister.com/2025/11/02/fortytwo_dcentralized_ai/
17. When the big names in finance start to bet against AI, it's a pretty strong sign the bubble is close to bursting: https://www.rnz.co.nz/news/world/577884/concern-on-share-markets-as-the-big-short-s-michael-burry-bets-against-top-ai-stocks
18. Yet another AI model is yanked from public use after it hallucinates facts, this time about a US senator: https://www.theverge.com/news/812376/google-removes-gemma-senator-blackburn-hallucination
19. UK court rules AI does not store copyrighted images: https://www.theguardian.com/media/2025/nov/04/stabilty-ai-high-court-getty-images-copyright
20. The latest copyright ruling on AI does not really set a useful precedent: https://www.theregister.com/2025/11/04/uk_court_getty_stability_ai/
21. Large scale AI requires large scale nuclear: https://www.theregister.com/2025/10/31/datacenter_biz_and_nuke_startup/
22. LLM AI still can't explain their internal reasoning: https://arstechnica.com/ai/2025/11/llms-show-a-highly-unreliable-capacity-to-describe-their-own-internal-processes/
23. Massive amounts of money are being poured into AI, mostly for data centres to run them: https://www.theguardian.com/global/2025/nov/04/the-mind-boggling-valuations-of-ai-companies
24. Developer roles for AI agents are less in demand as AI takes over more roles: https://www.theregister.com/2025/11/03/demand_for_software_skills_ai_jobs/
25. Students fear that AI is destroying their ability to study, but use it anyway: https://www.theguardian.com/technology/2025/oct/15/pupils-fear-ai-eroding-study-ability-research
26. Energy is now the bottleneck of large scale AI rollout, not chip shortages: https://techcrunch.com/2025/11/03/altman-and-nadella-need-more-power-for-ai-but-theyre-not-sure-how-much/
27. Enzyme design by AI-in this case an enzyme to break down and recycle polyurethane: https://arstechnica.com/science/2025/10/polyurethane-is-the-latest-polymer-broken-down-by-designer-enzymes/
28. An AI lawnmower: https://www.theregister.com/2025/11/01/robotic_lawnmower_ai/

IEEE Transactions on Neural Networks and Learning Systems, Volume 36, Issue 11, November 2025

1) Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition

Author(s): Zechao Li, Hao Tang, Zhimao Peng, Guo-Jun Qi, Jinhui Tang

Pages: 19474 - 19488

2) Hierarchical Dynamic Graph Convolutional Network With Interpretability for EEG-Based Emotion Recognition

Author(s): Mengqing Ye, C. L. Philip Chen, Tong Zhang

Pages: 19489 - 19500

3) Robust and Rotation-Equivariant Contrastive Learning

Author(s): Gairui Bai, Wei Xi, Xiaopeng Hong, Xinhui Liu, Yang Yue, Songwen Zhao

Pages: 19501 - 19514

4) Multiagent Reinforcement Learning With Graphical Mutual Information Maximization

Author(s): Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

Pages: 19515 - 19524

5) A Survey of Attacks on Large Vision–Language Models: Resources, Advances, and Future Trends

Author(s): Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu

Pages: 19525 - 19545

6) SpeGCL: Self-Supervised Graph Spectrum Contrastive Learning Without Positive Samples

Author(s): Yuntao Shou, Xiangyong Cao, Deyu Meng

Pages: 19546 - 19559

7) Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection

Author(s): Zhen Zhou, Ziyuan Gu, Pan Liu, Wenwu Yu, Zhiyuan Liu

Pages: 19560 - 19573

8) Learning a Better SPD Network for Signal Classification: A Riemannian Batch Normalization Method

Author(s): Rui Wang, Shaocheng Jin, Zhenyu Cai, Ziheng Chen, Xiao-Jun Wu, Josef Kittler

Pages: 19574 - 19588

9) Learning Granularity-Aware Affordances From Human-Object Interaction for Tool-Based Functional Dexterous Grasping

Author(s): Fan Yang, Wenrui Chen, Kailun Yang, Haoran Lin, Dongsheng Luo, Conghui Tang, Zhiyong Li, Yaonan Wang

Pages: 19589 - 19603

10) Solving Scalable Multiagent Routing Problems With Reinforcement Learning

Author(s): Yujiao Hu, Yuan Yao, Jinchao Chen, Zhihao Wang, Qingmin Jia, Yan Pan

Pages: 19604 - 19618

11) Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models

Author(s): Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco

Pages: 19619 - 19630

12) Unsupervised Visible–Infrared ReID via Pseudo-Label Correction and Modality-Level Alignment

Author(s): Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos, Lin Wang

Pages: 19631 - 19643

13) Cluster-Aware Few-Shot Molecular Property Prediction With Factor Disentanglement

Author(s): Haodong Zhang, Tao Ren, Yifan Wang, Fanchun Meng, Wei Ju, Ying Tian

Pages: 19644 - 19656

14) ChebMixer: Efficient Graph Representation Learning With MLP Mixer

Author(s): Xiaoyan Kui, Haonan Yan, Qinsong Li, Min Zhang, Liming Chen, Beiji Zou

Pages: 19657 - 19668

15) SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection

Author(s): Zhijie Zhong, Zhiwen Yu, Xing Xi, Yue Xu, Wenming Cao, Yiyuan Yang, Kaixiang Yang, Jane You

Pages: 19669 - 19680

16) Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models

Author(s): Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye

Pages: 19681 - 19692

17) SMTLNet: Domain Prior-Inspired Tooth Segmentation Based on Self-Supervised Manifold Transfer Learning

Author(s): Yue Zhao, Ruoyu Wu, Pengyu Dai, Hong Huang, Yang Liu

Pages: 19693 - 19707

18) A Switched System Model for Exponential Stability and Dissipativity of Delayed Neural Networks

Author(s): Hong-Bing Zeng, Zong-Jun Zhu, Shen-Ping Xiao, Xian-Ming Zhang

Pages: 19708 - 19717

19) Enhancing Domain Generalization in Medical Image Segmentation With Global and Local Prompts

Author(s): Chuang Zhao, Xiaomeng Li

Pages: 19718 - 19732

20) Anchor-Based Multiview Subspace Clustering With Anchor-wise and Class-wise Alignments

Author(s): Ye Liu, Hongshan Pu, Junjun Pan, Michael K. Ng, Hongmin Cai

Pages: 19733 - 19747

21) Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Author(s): Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu

Pages: 19748 - 19761

22) Online Adaptable Offline RL With Guidance Model

Author(s): Xun Wang, Jingmian Wang, Zhuzhong Qian, Bolei Zhang

Pages: 19762 - 19774

23) Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs

Author(s): Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay

Pages: 19775 - 19789

24) Vector Quantization-Based Clustered Federated Learning With Global Feature Anchors for Improved Representation and Generalization

Author(s): Xiaohong Chen, Yuhang Zhang, Xuesong Xu, Dongbin Hu, Guanying Xu

Pages: 19790 - 19804

25) FedLSC: Improving Communication Efficiency and Robustness in Federated Learning With Stragglers and Adversaries

Author(s): Hyeong-Gun Joo, Songnam Hong, Dong-Joon Shin

Pages: 19805 - 19819

26) Distilling Reasoning Ability From Large Language Models With Adaptive Thinking

Author(s): Xiaoshu Chen, Sihang Zhou, Ke Liang, Xinwang Liu

Pages: 19820 - 19833

27) Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach

Author(s): Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo

Pages: 19834 - 19848

28) Domain Information Mining and State-Guided Adaptation Network for Multispectral Image Segmentation

Author(s): Boyu Zhao, Mengmeng Zhang, Wei Li, Yunhao Gao, Junjie Wang

Pages: 19849 - 19863

29) OS-RRG: Observation State-Aware Radiology Report Generation With Balanced Diagnosis and Attention Intervention

Author(s): Honglong Yang, Hui Tang, Shanshan Song, Xiaomeng Li

Pages: 19864 - 19878

30) Find Hidden Modality Divergence: Adversarial Aware Learning for Unsupervised Visible–Infrared Person Re-Identification

Author(s): Yuxuan Liu, Hongwei Ge, Yong Luo, Chunguo Wu

Pages: 19879 - 19893

31) Interpretable Cross-Modal Alignment Network for EEG Visual Decoding With Algorithm Unrolling

Author(s): Daowen Xiong, Liangliang Hu, Jiahao Jin, Yikang Ding, Congming Tan, Jing Zhang, Yin Tian

Pages: 19894 - 19908

32) Wormhole Dynamics in Deep Neural Networks

Author(s): Yen-Lung Lai, Zhe Jin

Pages: 19909 - 19923

33) Interactive Graph Learning for Multilevel Network Alignment

Author(s): Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Huijun Tang, Zhidong Zhao, Shirui Pan

Pages: 19924 - 19938

34) An Adaptive Neighborhood-Resonated Graph Convolution Network for Undirected Weighted Graph Representation

Author(s): Jiufang Chen, Ye Yuan, Xin Luo, Xinbo Gao

Pages: 19939 - 19950

35) Progressive Training for Learning From Label Proportions

Author(s): Jiabin Liu, Bo Wang, Yuping Zhang, Huadong Wang, Biao Li, Xin Shen, Gang Kou

Pages: 19951 - 19963

36) Robust Fault-Aware Extreme Learning Machine Based on Maximum Correntropy

Author(s): Yuqi Xiao, Muideen Adegoke, Chi-Sing Leung, Kwok Wa Leung

Pages: 19964 - 19972

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 10, November 2025

1) A Review on Interval Type-2 Fuzzy-Model-Based Control Systems: Membership-Function-Dependent Perspectives

Author(s): Hak-Keung Lam, Bo Xiao, Ming Chen

Pages: 3856 - 3870

2) Advancing Multiscale Information Systems: A Synthesis of Theoretical Insights, Practical Applications, and Emerging Challenges

Author(s): Xueling Ma, Yibin Xiao, Jianming Zhan

Pages: 3871 - 3892

3) Resilient Cyber-Physical Co-Design for Fuzzy Renewable-Integrated Power System Under Frequency-Driven Cyberattacks

Author(s): Jia Ding, Jun Wang, Kaibo Shi, Xiao Cai, Oh-Min Kwon, Shiping Wen

Pages: 3893 - 3903

4) Adaptive Multigranularity Fuzzy Transfer Learning Algorithm

Author(s): Hongxu Liu, Honggui Han, Xuan Hu

Pages: 3904 - 3915

5) The Hesitant Fuzzy LSTM-Transformer Model and Its Application in Power and Energy Balance of Smart Grids

Author(s): Wei Zhou, Danxue Luo, Yiming Ma

Pages: 3916 - 3929

6) Multiview Fuzzy Clustering for Multilayer and Multiattribute Graphs

Author(s): Xianghui Hu, Jie Chen, Guorui Chen, Yiming Tang, Witold Pedrycz, Yichuan Jiang

Pages: 3930 - 3945

7) Exploring Fuzzy Priors From Multimapping GAN for Robust Image Dehazing

Author(s): Shengdong Zhang, Xiaoqin Zhang, Wenqi Ren, Li Zhao, En Fan, Feng Huang

Pages: 3946 - 3958

8) Classic Fuzzy Cognitive Maps Are Not Universal Approximators

Author(s): Leonardo Concepción, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof

Pages: 3959 - 3966

9) Fully Interpretable Gaussian Centralized TSK Fuzzy Classifier From Probabilistic Perspective: Concepts, Output-Stability-Based Learning, and Ensemble

Author(s): Yuchen Li, Fu-Lai Chung, Yusuke Nojima, Shitong Wang

Pages: 3967 - 3980

10) Fuzzy Spatiotemporal Knowledge Graph Queries via Global and Local Uncertain Dynamic Subgraph Reasoning Using Embedding

Author(s): Hao Ji, Li Yan, Zongmin Ma

Pages: 3981 - 3991

11) Memory-Event-Based Distributed T-S Fuzzy Security Control for a Class of Cyber-Physical Systems Under Replay Attack

Author(s): Yi Shui, Lu Dong, Ya Zhang, Changyin Sun

Pages: 3992 - 4002

12) Two-Stage Heterogeneous Noncooperative Behavior for Consensus in Large-Scale Group Decision Under Fuzzy Distributed Preference Relation

Author(s): Xinyu Fan, Mi Zhou, Bayi Cheng, Jian Wu, Hamido Fujita

Pages: 4003 - 4016

13) H−/L∞ Time-Delay Unknown Input Actuator Fault Detection Observer for Discrete-Time Takagi–Sugeno Fuzzy Singular Systems and Zonotopic Residual Analysis

Author(s): Jiafeihong Chen, Zhiguang Feng, Hak-Keung Lam, Ligang Wu

Pages: 4017 - 4029

14) Fuzzy Bicausal Random Forest

Author(s): Tao Zhang, Yichen Xie, Jingge Wang, Tao Li, Zaifa Xue, Zesheng Huo, Le Gao

Pages: 4030 - 4043

15) Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection

Author(s): Qiong Liu, Mingjie Cai, Qingguo Li

Pages: 4044 - 4054

16) An Efficient Survival Prediction Framework Based on Multimodal Multi-Instance Fuzzy Optimal Transport

Author(s): Hui Luo, Jiashuang Huang, Tianyi Zhou, Erlv Wu, Weiping Ding

Pages: 4055 - 4068

17) Robust Control Under Servo Constraint Following via Nash Equilibrium Theory for Bimanual Humanoid Manipulation

Author(s): Xiaoli Liu, Chenhao Wu, Shengchao Zhen, Hao Sun, Changyin Sun, Ye-Hwa Chen

Pages: 4069 - 4082

18) Group Emotion Recognition Using Fuzzy Emotional Hierarchical Shared Space

Author(s): Chenhao Li, Wenti Huang, Xi Yu, Zhan Yang, Jun Long

Pages: 4083 - 4096

19) FCIGPG: An Approach to Fuzzy Classification Based on Information Granule Purity and Granularity

Author(s): Bin Yu, Xu He, Tian Yang

Pages: 4097 - 4110

20) Constructing Concise Instance-Based Takagi–Sugeno–Kang Fuzzy Systems via Multiobjective Particle Swarm Optimization

Author(s): Qin Chang, Yu Chen, Jiahao Liang, Chanjuan Liu, Jian Wang

Pages: 4111 - 4123

21) ORB-SLAM3-Enhanced 3-D Reconstruction via Underwater Teleoperator With Global Prescribed Performance

Author(s): Hongshuang Xu, Xian Yang, Junfeng Zhu, Jing Yan, Changchun Hua

Pages: 4124 - 4136

22) Association Rules and Refined Information Granulation-Based Time-Series Long-Term Forecasting

Author(s): Hongyue Guo, Yating Yu, Yunzhen Liu, Lidong Wang, Peng Jia, Witold Pedrycz

Pages: 4137 - 4151

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 11, November 2025

1) Robust Real-Time Audio–Visual Speech Enhancement Based on DNN and GAN

Author(s): Mandar Gogate, Kia Dashtipour, Amir Hussain

Pages: 2860 - 2869

2) Optimizing Neural Network Training: A Markov Chain Approach for Resource Conservation

Author(s): Ke Wang, Xianting Huang, Cong Tan, Siu-Ming Yiu, Zicong Chen, Xiaolin Lei

Pages: 2870 - 2883

3) LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models

Author(s): Zihan Zhao, Yiyang Jiang, Heyang Liu, Yu Wang, Yanfeng Wang

Pages: 2884 - 2895

4) From Routine to Reflection: Pruning Neural Networks in Communication-Efficient Federated Learning

Author(s): Jiaming Pei, Wei Li, Shahid Mumtaz

Pages: 2896 - 2905

5) Response Generation Honeypot With Antidetection Capabilities for IoT Botnet Lifecycle Detection

Author(s): Hao Tang, Hui He, Yuming Feng, Junxiong Meng, Weizhe Zhang

Pages: 2906 - 2921

6) Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning

Author(s): Md Tamjid Hossain, Shahriar Badsha, Hung La, Shafkat Islam, Ibrahim Khalil

Pages: 2922 - 2939

7) C2RS: Multimodal Knowledge Graph Completion With Cross-Modal Consistency and Relation Semantics

Author(s): Yulou Shu, Wengen Li, Jiaqi Wang, Yichao Zhang, Jihong Guan, Shuigeng Zhou

Pages: 2940 - 2952

8) Parallel Inductive Shift Learning Based Recommendation System

Author(s): Nilufar Zaman, Angshuman Jana

Pages: 2953 - 2965

9) Adaptive Head Pruning for Attention Mechanism in the Maritime Domain

Author(s): Walid Messaoud, Rim Trabelsi, Adnane Cabani, Fatma Abdelkefi

Pages: 2966 - 2976

10) Deep Residual Learning of a Probabilistic’ Partial Least Squares Model for Predictive Data Analytics

Author(s): Zhiqiang Ge, Duxin Chen, Wenwu Yu

Pages: 2977 - 2989

11) Incremental Semisupervised Learning With Adaptive Locality Preservation for High-Dimensional Data

Author(s): Guojie Li, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen

Pages: 2990 - 3004

12) EEG Emotion Recognition Based on an Implicit Emotion Regulatory Mechanism

Author(s): Dongdong Li, Zhishuo Jin, Yujun Shen, Zhe Wang, Suo Jiang

Pages: 3005 - 3017

13) Ownership Infringement Detection for Generative Adversarial Networks Against Model Stealing

Author(s): Hailong Hu, Jun Pang

Pages: 3018 - 3029

14) Integrating Large Language Model for Improved Causal Discovery

Author(s): Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Qiang Tu, Huanhuan Chen

Pages: 3030 - 3042

15) A Novel Privacy-Enhancing Framework for Low-Dose CT Denoising

Author(s): Ziyuan Yang, Huijie Huangfu, Maosong Ran, Zhiwen Wang, Hui Yu, Mengyu Sun, Yi Zhang

Pages: 3043 - 3055

16) Empirical Evaluation of Public HateSpeech Datasets

Author(s): Sardar Jaf, Basel Barakat

Pages: 3056 - 3069

17) Enhancing Facial Expression Recognition With AI Agents: A Semisupervised Guided Adaptive β-VAE Coupled With Interval Type-2 Fuzzy Classifier

Author(s): Mohd Aquib, Nishchal K. Verma, M. Jaleel Akhtar

Pages: 3070 - 3086

18) DrugMAP: Deep Multimodal Transformers for Drug-Target Mechanism of Action Prediction

Author(s): Rangan Das, Swadesh Jana, Anannyo Dey, Pascal Le Corre, Marc Cuggia, Ujjwal Maulik, Sanghamitra Bandyopadhyay

Pages: 3087 - 3099

19) n-LIPO: Framework for Diverse Cooperative Agent Generation Using Policy Compatibility

Author(s): Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

Pages: 3100 - 3114

20) Lightweight Dynamic Convolutional Network for Crowd Counting Based on Curriculum Reinforcement Learning

Author(s): Yange Li, Fan Yu, Qun Chen

Pages: 3115 - 3131

21) K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Author(s): Yi Zheng, Xuanbin Ding, Xiang Zhao, Xiaoqin Pan, Lei Zhou

Pages: 3132 - 3147

22) TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking

Author(s): Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan

Pages: 3148 - 3162

Weekly Review 7 November 2025

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

1. Prompt injection is a new attack vector made possible by AI browsers: https://www.theregister.com/2025/10/28/ai_browsers_prompt_injection/
2. Using AI is changing how our brains use language: https://www.rnz.co.nz/life/wellbeing/how-generative-ai-could-change-how-we-think-and-speak
3. AI is making the rich and powerful richer and more powerful: https://www.theregister.com/2025/10/30/meta_alphabet_q3_2025/
4. Scientists must take responsibility for responsible AI: https://spectrum.ieee.org/responsible-ai
5. Your AI search result is based on less popular pages. Does less popular mean less reliable though? https://arstechnica.com/ai/2025/10/ai-powered-search-engines-rely-on-less-popular-sources-researchers-find/
6. I don't think the kind of performative Christianity American oligarchs preach is going to be improved by AI: https://www.theguardian.com/technology/2025/oct/28/patrick-gelsinger-christian-ai-gloo-silicon-valley
7. More corporate job losses because of AI: https://www.stuff.co.nz/world-news/360868458/amazon-cuts-14000-corporate-jobs-spending-artificial-intelligence-accelerates AI is making the rich richer, while distracting the rest of us with fake videos.
8. The majority of businesses that lay people off in favour of AI end up regretting it, mostly because AI can't deliver: https://www.theregister.com/2025/10/29/forrester_ai_rehiring/
9. AI is good at discovering new algorithms: https://www.theregister.com/2025/10/25/openevolve_ai_better_algorithms/
10. As AI hardware gets more powerful, AI models get more demanding. Just like every other piece of software: https://spectrum.ieee.org/mlperf-trends
11. AI will lead to neither utopia or disaster. But it will certainly make the rich richer: https://www.computerworld.com/article/4078090/whos-right-the-ai-zoomers-or-doomers.html
12. Socialising with AI might make teenage boys feel less lonely, but how well prepared will they be for the real world afterwards? https://www.theguardian.com/technology/2025/oct/30/teenage-boys-using-personalised-ai-for-therapy-and-romance-survey-finds
13. Will the AI bubble burst, or just slowly deflate? https://www.theregister.com/2025/10/28/forrester_ai_spending/
14. RNZ used AI to clone a dead man's voice, But only with the consent of his estate and family, and only to read words he had written in life. Ethical? https://www.rnz.co.nz/news/nark/577167/nark-how-and-why-we-used-ai-to-recreate-a-dead-man-s-voice
15. Enough people discuss self-harm with AI that the AI really need guardrails: https://arstechnica.com/ai/2025/10/openai-data-suggests-1-million-users-discuss-suicide-with-chatgpt-weekly/
16. AI agents are now a vulnerability when it comes to phishing attacks: https://spectrum.ieee.org/ai-agent-phishing
17. It doesn't matter if you are an AI company, you still have to follow the law: https://www.theregister.com/2025/10/28/noyb_criminal_charges_clearview/
18. Energy is still the limiting factor in building more capacity in AI: https://www.theregister.com/2025/10/28/openai_100gw_power_demand/
19. Every AI will have some biases inherited from its creators/owners. When that owner is a right-wing oligarch, those biases will be more obvious and more damaging: https://www.theguardian.com/technology/2025/oct/28/elon-musk-grokipedia
20. AI might listen more than human doctors, but it will not give reliable health advice: https://www.theguardian.com/society/2025/oct/28/deepseek-is-humane-doctors-are-more-like-machines-my-mothers-worrying-reliance-on-ai-for-health-advice
21. Do not use AI to challenge a private investigator's invoice: https://www.nzherald.co.nz/nz/private-investigator-cleared-after-client-used-ai-to-challenge-his-report/FHVEF32FBRAZHNCCUJKMJ2CR5U/
22. A new use for generative AI - faking receipts for expense claims: https://arstechnica.com/ai/2025/10/ai-generated-receipts-make-submitting-fake-expenses-easier/
23. Opt-out of LinkedIn is going to start using your data to train their AI: https://www.theregister.com/2025/10/28/openai_100gw_power_demand/
24. AI companies rely on free access to data, but when taking that data makes existing biases worse, something needs to be done to protect it: https://www.rnz.co.nz/news/national/577327/iwi-leaders-unveil-ai-safeguards-to-protect-maori-data