Weekly Review 20 June 2025

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

1. Wikipedia kills AI summaries of its pages: https://www.extremetech.com/computing/wikipedia-editors-revolt-over-ai-summaries Given how many bots scrape Wikipedia for training data, this is probably a good thing
2. Corporate adoption of AI is levelling off: https://techcrunch.com/2025/06/09/corporate-ai-adoption-may-be-leveling-off-according-to-ramp-data/
3. Sam Altman is very smart but he's no scientist. Current AI are not going to drive scientific discoveries anytime soon, although they will be useful to accelerate some parts of them: https://www.bigdatawire.com/2025/06/03/ai-agents-to-drive-scientific-discovery-within-a-year-altman-predicts/
4. The thing with AI predicting your lifespan is, you'll only ever know if it under-estimated: https://www.nzherald.co.nz/world/how-many-years-do-i-have-left-an-app-gave-me-some-helpful-insights/6YFWBORXD5AI3NHGVQWQKYLGPY/
5. Trying to automate any business operation with AI is fraught. Trying to automate a government with AI is going to be hilarious: https://www.theregister.com/2025/06/10/trump_admin_leak_government_ai_plans/
6. There appears to be a fairly widespread use of AI to generate legal filings, and judges are getting sick of it: https://techcrunch.com/2025/06/07/lawyers-could-face-severe-penalties-for-fake-ai-generated-citations-uk-court-warns/
7. AI in the browser seems like a good idea, but the privacy issues around it have yet to be resolved: https://www.techrepublic.com/article/news-arc-dia-the-browser-company/
8. Retrieval-augmented Generation is helping make generative AI easier to roll out: https://www.techrepublic.com/article/news-gartner-generative-ai-apps-data-management-platforms/
9. Generative AI suck at chess: https://www.extremetech.com/computing/chatgpt-lost-a-chess-game-to-an-atari-2600
10. AI are the definition of garbage in, garbage out. Proper data annotation is essential: https://dataconomy.com/2025/06/12/why-data-labeling-quality-makes-or-breaks-ai-models/
11. Now is not a good time to be demolishing guardrails on AI: https://www.theverge.com/politics/681727/ro-khanna-ai-state-law-moratorium-reconciliation
12. An AI that can interpret genomic data, not just scan for patterns: https://dataconomy.com/2025/06/10/this-ai-explains-your-genes-the-way-a-doctor-would/
13. To be clear, this isn't AI restoring old artworks, it is AI guessing what it could have looked like: https://www.theguardian.com/science/2025/jun/11/researchers-create-ai-based-tool-that-restores-age-damaged-artworks-in-hours
14. AI have limitations in their reasoning, and these limitations appear to be fundamental: https://www.stuff.co.nz/world-news/360719320/new-research-offers-fresh-warnings-about-ability-ai
15. Constant testing of AI has a cost, but it lowers costs in the long run: https://www.theregister.com/2025/06/08/chatterbox_labs_ai_adoption/
16. AI is being used in recruitment, but people aren't happy about it: https://www.techrepublic.com/article/ai-and-recruitment/
17. That's one way of stopping students using AI to cheat:  https://www.theverge.com/news/682737/china-shuts-down-ai-chatbots-exam-season
18. AI might currently be used as a screening tool in recruitment, but that doesn't mean that any occult biases in the AI won't inappropriately screen people out: https://www.computerworld.com/article/4005351/surprise-employers-are-using-ai-to-interview-you.html
19. The connection between AI and galactic colonisation seems a bit tenuous to me: https://futurism.com/google-deepmind-hassabis
20. Some policies to mitigate the risk of shadow AI in the workplace: https://devclass.com/2025/06/10/shadow-ai-in-the-enterprise-managing-risk-without-slowing-progress/
21. How AI is contributing to the fight against cancer: https://dataconomy.com/2025/06/10/how-ai-is-fueling-our-hope-in-the-fight-against-cancer/
22. Some strategies to catch the errors made by generative AI: https://www.informationweek.com/machine-learning-ai/how-to-successfully-catch-generative-ai-errors
23. While it's not the only application of robust quantum computers, AI will certainly benefit from this technology: https://www.techrepublic.com/article/news-ibm-quantum-computer-error-correction-2029/
24. How DevOps can accelerate rollout of AI: https://www.datasciencecentral.com/unlocking-the-value-of-ai-with-devops-accelerated-mlops/

Weekly Review 13 June 2025

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

1. The data-hungry nature of AI means people are struggling with managing the data it needs: https://blocksandfiles.com/2025/06/04/tech-leaders-struggling-to-store-ai-data-never-mind-manage-it-research-shows/
2. AI are tools, not co-workers, despite the anthropomorphizing language used by marketers: https://techcrunch.com/2025/06/01/for-the-love-of-god-stop-calling-your-ai-a-co-worker/
3. AI should improve efficiency and productivity, but how do you measure this? https://www.informationweek.com/machine-learning-ai/how-to-measure-ai-efficiency-and-productivity-gains
4. Like every other piece of software, a rushed AI is likely to be less-than-good in its quality: https://arstechnica.com/health/2025/06/fda-rushed-out-agency-wide-ai-tool-its-not-going-well/
5. English speakers are most nervous about the rise of AI: https://www.theguardian.com/technology/2025/jun/05/english-speaking-countries-more-nervous-about-rise-of-ai-polls-suggest Perhaps because most AI use English the most?
6. A vulnerability is being kept alive by AI generated code: https://www.theregister.com/2025/06/05/llm_kept_persistent_path_traversal_bug_alive/
7. I'm not sure how I feel about Google's AI summarising my emails. I'd prefer to read them myself: https://arstechnica.com/google/2025/05/the-gmail-app-will-now-create-ai-summaries-whether-you-want-them-or-not/
8. A lack of training leads to a mistrust of AI amongst users: https://www.computerworld.com/article/3999619/do-you-trust-ai-heres-why-half-of-users-dont.html
9. Yoshua Bengio is also calling out the dangers of AI: https://arstechnica.com/ai/2025/06/godfather-of-ai-calls-out-latest-models-for-lying-to-users/
10. An AI tool to help amateurs write opinion columns: https://www.theverge.com/news/679332/washington-post-opinion-pieces-ai-tool-ember
11. We still need human programmers who know how to program, not just give prompts to AI: https://www.theregister.com/2025/06/05/vibe_coding_raspberry_pi/
12. AI adoption is a people problem more than a tech problem, according to a framework from the UK government: https://www.computerworld.com/article/4002450/uks-new-ai-framework-puts-culture-before-code.html
13. A ten year freeze on AI regulation is too long: https://arstechnica.com/ai/2025/06/in-10-years-all-bets-are-off-anthropic-ceo-opposes-decade-long-freeze-on-state-ai-laws/
14. When an AI fails, the user is responsible: https://www.computerworld.com/article/3998202/when-ai-fails-who-is-to-blame.html
15. Industries that can use AI better show higher wage growth compared with those industries that cannot adopt AI as easily: https://www.theregister.com/2025/06/03/ai_productivity_pwc/
16. Are law clerks using AI to write legal briefs because they've become used to using AI in their studies? https://arstechnica.com/tech-policy/2025/06/law-clerk-fired-over-chatgpt-use-after-firms-filing-used-ai-hallucinations/
17. Ways to convince management of the value of AI: https://www.informationweek.com/machine-learning-ai/how-to-convince-management-colleagues-that-ai-isn-t-a-passing-fad
18. AI chatbots do not improve productivity for most workers: https://www.computerworld.com/article/3998244/ai-chatbots-see-fast-adoption-but-deliver-minimal-productivity-gains-study-finds.html
19. A new architecture for analog AI: https://spectrum.ieee.org/analog-ai-chip-architecture
20. It's legal to use AI driven face recognition in New Zealand, as long as there's a good reason for it: https://www.rnz.co.nz/news/business/563010/privacy-commissioner-inquiry-finds-supermarket-facial-recognition-tech-s-use-is-justified
21. Moves in the UK to make it legal for AI companies to use copyrighted material to train their AI are stalling: https://www.theguardian.com/technology/2025/jun/04/ministers-offer-concessions-ai-copyright-avoid-fifth-lords-defeat
22. The tricks AI chatbots use to keep you chatting to them: https://techcrunch.com/2025/06/02/how-ai-chatbots-keep-you-chatting/
23. An AI learned to cheat its way around measures of its hallucinations: https://www.theregister.com/2025/06/02/self_improving_ai_cheat/
24. AI companies continue to scrape training data from websites, whether they are allowed to or not: https://arstechnica.com/tech-policy/2025/06/reddit-sues-anthropic-over-ai-scraping-that-retained-users-deleted-posts/

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 6, June 2025

1) Brain-Inspired Fuzzy Graph Convolution Network for Alzheimer's Disease Diagnosis Based on Imaging Genetics Data

Author(s): Xia-An Bi, Yangjun Huang, Wenzhuo Shen, Zicheng Yang, Yuhua Mao, Luyun Xu, Zhonghua Liu

Pages: 1698 - 1712

2) Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set With Automatic Determination of Hyperparameters

Author(s): Haijie Wu, Weiwei Lin, Yuehong Chen, Fang Shi, Wangbo Shen, C. L. Philip Chen

Pages: 1713 - 1725

3) A Novel Reliable Three-Way Multiclassification Model Under Intuitionistic Fuzzy Environment

Author(s): Libo Zhang, Cong Guo, Tianxing Wang, Dun Liu, Huaxiong Li

Pages: 1726 - 1739

4) Guaranteed State Estimation for H−/L∞ Fault Detection of Uncertain Takagi–Sugeno Fuzzy Systems With Unmeasured Nonlinear Consequents

Author(s): Masoud Pourasghar, Anh-Tu Nguyen, Thierry-Marie Guerra

Pages: 1740 - 1752

5) Online Self-Learning Fuzzy Recurrent Stochastic Configuration Networks for Modeling Nonstationary Dynamics

Author(s): Gang Dang, Dianhui Wang

Pages: 1753 - 1766

6) ADMTSK: A High-Dimensional Takagi–Sugeno–Kang Fuzzy System Based on Adaptive Dombi T-Norm

Author(s): Guangdong Xue, Liangjian Hu, Jian Wang, Sergey Ablameyko

Pages: 1767 - 1780

7) Constructing Three-Way Decision With Fuzzy Granular-Ball Rough Sets Based on Uncertainty Invariance

Author(s): Jie Yang, Zhuangzhuang Liu, Guoyin Wang, Qinghua Zhang, Shuyin Xia, Di Wu, Yanmin Liu

Pages: 1781 - 1792

8) TOGA-Based Fuzzy Grey Cognitive Map for Spacecraft Debris Avoidance

Author(s): Chenhui Qin, Yuanshi Liu, Tong Wang, Jianbin Qiu, Min Li

Pages: 1793 - 1802

9) Reinforcement Learning-Based Fault-Tolerant Control for Semiactive Air Suspension Based on Generalized Fuzzy Hysteresis Model

Author(s): Pak Kin Wong, Zhijiang Gao, Jing Zhao

Pages: 1803 - 1814

10) Adaptive Fuzzy Attention Inference to Control a Microgrid Under Extreme Fault on Grid Bus

Author(s): Tanvir M. Mahim, A.H.M.A. Rahim, M. Mosaddequr Rahman

Pages: 1815 - 1824

11) Semisupervised Feature Selection With Multiscale Fuzzy Information Fusion: From Both Global and Local Perspectives

Author(s): Nan Zhou, Shujiao Liao, Hongmei Chen, Weiping Ding, Yaqian Lu

Pages: 1825 - 1839

12) Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models

Author(s): Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Pages: 1840 - 1852

13) Differentially Private Distributed Nash Equilibrium Seeking for Aggregative Games With Linear Convergence

Author(s): Ying Chen, Qian Ma, Peng Jin, Shengyuan Xu

Pages: 1853 - 1863

14) Robust Divide-and-Conquer Multiple Importance Kalman Filtering via Fuzzy Measure for Multipassive-Sensor Target Tracking

Author(s): Hongwei Zhang

Pages: 1864 - 1875

15) Fully Informed Fuzzy Logic System Assisted Adaptive Differential Evolution Algorithm for Noisy Optimization

Author(s): Sheng Xin Zhang, Yu Hong Liu, Xin Rou Hu, Li Ming Zheng, Shao Yong Zheng

Pages: 1876 - 1888

16) Impulsive Control of Nonlinear Multiagent Systems: A Hybrid Fuzzy Adaptive and Event-Triggered Strategy

Author(s): Fang Han, Hai Jin

Pages: 1889 - 1898

17) Uncertainty-Aware Superpoint Graph Transformer for Weakly Supervised 3-D Semantic Segmentation

Author(s): Yan Fan, Yu Wang, Pengfei Zhu, Le Hui, Jin Xie, Qinghua Hu

Pages: 1899 - 1912

18) Observer-Based SMC for Discrete Interval Type-2 Fuzzy Semi-Markov Jump Models

Author(s): Wenhai Qi, Runkun Li, Peng Shi, Guangdeng Zong

Pages: 1913 - 1925

19) Network Security Scheme for Discrete-Time T-S Fuzzy Nonlinear Active Suspension Systems Based on Multiswitching Control Mechanism

Author(s): Jiaming Shen, Yang Liu, Mohammed Chadli

Pages: 1926 - 1936

20) Fuzzy Multivariate Variational Mode Decomposition With Applications in EEG Analysis

Author(s): Hongkai Tang, Xun Yang, Yixuan Yuan, Pierre-Paul Vidal, Danping Wang, Jiuwen Cao, Duanpo Wu

Pages: 1937 - 1948

21) Adaptive Broad Network With Graph-Fuzzy Embedding for Imbalanced Noise Data

Author(s): Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Feiping Nie, C. L. Philip Chen

Pages: 1949 - 1962

22) Average Filtering Error-Based Event-Triggered Fuzzy Filter Design With Adjustable Gains for Networked Control Systems

Author(s): Yingnan Pan, Fan Huang, Tieshan Li, Hak-Keung Lam

Pages: 1963 - 1976

23) Fuzzy and Crisp Gaussian Kernel-Based Co-Clustering With Automatic Width Computation

Author(s): José Nataniel A. de Sá, Marcelo R.P. Ferreira, Francisco de A.T. de Carvalho

Pages: 1977 - 1991

24) A Biselection Method Based on Consistent Matrix for Large-Scale Datasets

Author(s): Jinsheng Quan, Fengcai Qiao, Tian Yang, Shuo Shen, Yuhua Qian

Pages: 1992 - 2005

25) Nash Equilibrium Solutions for Switched Nonlinear Systems: A Fuzzy-Based Dynamic Game Method

Author(s): Yan Zhang, Zhengrong Xiang

Pages: 2006 - 2015

26) Active Domain Adaptation Based on Probabilistic Fuzzy C-Means Clustering for Pancreatic Tumor Segmentation

Author(s): Chendong Qin, Yongxiong Wang, Fubin Zeng, Jiapeng Zhang, Yangsen Cao, Xiaolan Yin, Shuai Huang, Di Chen, Huojun Zhang, Zhiyong Ju

Pages: 2016 - 2026

IEEE Transactions on Cognitive and Developmental Systems, Volume 17, Issue 3, June 2025

1) Enhancing Dimensional Image Emotion Detection With a Low-Resource Dataset via Two-Stage Training

Author(s): SangEun Lee, Seoyun Kim, Yubeen Lee, Jufeng Yang, Eunil Park

Pages: 455 - 464

2) HDMTK: Full Integration of Hierarchical Decision-Making and Tactical Knowledge in Multiagent Adversarial Games

Author(s): Wei Li, Boling Hu, Aiguo Song, Kaizhu Huang

Pages: 465 - 479

3) Functional Connectivity Patterns Learning for EEG-Based Emotion Recognition

Author(s): Chongxing Shi, C. L. Philip Chen, Shuzhen Li, Tong Zhang

Pages: 480 - 494

4) PDRL: Towards Deeper States and Further Behaviors in Unsupervised Skill Discovery by Progressive Diversity

Author(s): Ziming He, Chao Song, Jingchen Li, Haobin Shi

Pages: 495 - 509

5) Simultaneous Estimation of Human Motion Intention and Time-Varying Arm Stiffness for Enhanced Human–Robot Interaction

Author(s): Huayang Wu, Chengzhi Zhu, Long Cheng, Chenguang Yang, Yanan Li

Pages: 510 - 524

6) A Task-Oriented Deep Learning Approach for Human Localization

Author(s): Yu-Jia Chen, Wei Chen, Sai Qian Zhang, Hai-Yan Huang, H.T. Kung

Pages: 525 - 539

7) Adaptive Environment Generation for Continual Learning: Integrating Constraint Logic Programming With Deep Reinforcement Learning

Author(s): Youness Boutyour, Abdellah Idrissi

Pages: 540 - 553

8) Kernel-Based Actor–Critic Learning Framework for Autonomous Brain Control on Trajectory

Author(s): Zhiwei Song, Xiang Zhang, Shuhang Chen, Jieyuan Tan, Yiwen Wang

Pages: 554 - 563

9) Task and Motion Planning of Service Robot Arm in Unknown Environment Based on Virtual Voxel-Semantic Space

Author(s): Lipeng Wang, Xiaochen Wang, Junjun Huang, Mengjie Liu

Pages: 564 - 576

10) Data Augmentation for Seizure Prediction With Generative Diffusion Model

Author(s): Kai Shu, Le Wu, Yuchang Zhao, Aiping Liu, Ruobing Qian, Xun Chen

Pages: 577 - 591

11) Developmental Networks With Foveation

Author(s): Xiang Wu, Juyang Weng

Pages: 592 - 605

12) Modeling Task Engagement to Regulate Reinforcement Learning-Based Decoding for Online Brain Control

Author(s): Xiang Zhang, Xiang Shen, Yiwen Wang

Pages: 606 - 614

13) SMART: Sequential Multiagent Reinforcement Learning With Role Assignment Using Transformer

Author(s): Yixing Lan, Hao Gao, Xin Xu, Qiang Fang, Yujun Zeng

Pages: 615 - 630

14) Interaction Is Worth More Explanations: Improving Human–Object Interaction Representation With Propositional Knowledge

Author(s): Feng Yang, Yichao Cao, Xuanpeng Li, Weigong Zhang

Pages: 631 - 643

15) Spatial–Temporal Spiking Feature Pruning in Spiking Transformer

Author(s): Zhaokun Zhou, Kaiwei Che, Jun Niu, Man Yao, Guoqi Li, Li Yuan, Guibo Luo, Yuesheng Zhu

Pages: 644 - 658

16) A Biomathematical Model for Classifying Sleep Stages Using Deep Learning Techniques

Author(s): Ruijie He, Wei Tong, Miaomiao Zhang, Guangyu Zhu, Edmond Q. Wu

Pages: 659 - 671

17) The Effect of Audio Trigger’s Frequency on Autonomous Sensory Meridian Response

Author(s): Lili Li, Zhiqing Wu, Zhongliang Yu, Zhibin He, Zhizhong Wang, Liyu Lin, Shaolong Kuang

Pages: 672 - 681

18) Location-Guided Head Pose Estimation for Fisheye Image

Author(s): Bing Li, Dong Zhang, Cheng Huang, Yun Xian, Ming Li, Dah-Jye Lee

Pages: 682 - 697

19) Brain Network Reorganization in Response to Multilevel Mental Workload in Simulated Flight Tasks

Author(s): Kuijun Wu, Jingjia Yuan, Xianliang Ge, Ioannis Kakkos, Linze Qian, Sujie Wang, Yamei Yu, Chuantao Li, Yu Sun

Pages: 698 - 709

Soft Computing, Volume 29, Issue 7, April 2025

1) Operators on complemented lattices

Author(s): Ivan Chajda, Helmut Länger

Pages: 3115 - 3123

2) Quasi-L-algebras

Author(s): Omid Zahiri, Xiao Long Xin

Pages: 3125 - 3137

3) Concept lattices of Ci-connected contexts and the characterization theorem

Author(s): Zhenhua Jia, Lankun Guo, Qingguo Li

Pages: 3139 - 3149

4) Numerical treatment of blood nanofluid flow in micro-vessels considering inclined magnetic field, hall and radiation effects

Author(s): M. Yasin, S. Hina, R. Naz

Pages: 3151 - 3164

5) A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm

Author(s): Achint Kumar Kansal, Aruna Tiwari, Preeti Jha

Pages: 3165 - 3188

6) The influence of food bloggers toward consumer’s attitude in restaurant selection: a multi-objective metaheuristic approach

Author(s): Harinandan Tunga, Surjendu Pal, Romualdas Bausys

Pages: 3189 - 3215

7) Optimization of the rectangle area inside a concave polygon using PSO and Tabu Search

Author(s): Gautam Siddharth Kashyap, Karan Malik, Alexander E. I. Brownlee

Pages: 3217 - 3239

8) Adaptive iterated local search algorithm for dynamic patient admission scheduling problems

Author(s): Ayad Turky, Nasser R. Sabar, Panos Liatsis

Pages: 3241 - 3251

9) A bi-level programming model for optimal EV charging scheduling and operation in residential communities

Author(s): Gang Zhu, Yan Gao, Hao Sun

Pages: 3253 - 3272

10) A hybrid of particle swarm optimization and fuzzy system for modeling direct current microgrids to improve stability

Author(s): Hoda Naderi, Neda Ghaderi, Mohammad Abedini

Pages: 3273 - 3288

11) Performance and managerial ability analysis in banking sector: a fuzzy data envelopment analysis approach

Author(s): Alireza Amirteimoori, Tofigh Allahviranloo

Pages: 3289 - 3305

12) Enhancing coordinated target tracking: innovative particle filters with meta-heuristic integration and advanced model validation

Author(s): Nitish Das, Nilima Kulkarni

Pages: 3307 - 3338

13) Pyranet: a novel architectural approach to reduce the effect of unbalanced classes and analysis on leukemia dataset

Author(s): Nikhil Sharma, Rajanbir Singh Ghumaan, K. V. Arya

Pages: 3339 - 3347

14) FTBAC: fuzzy trust based access control for healthcare cross-domain environment

Author(s): Sujoy Roy, Alok Kumar, Udai Pratap Rao

Pages: 3349 - 3366

15) Home energy system: optimal design via risk-averse stochastic programming

Author(s): Patrizia Beraldi, Antonio Violi, Gianluca Carrozzino

Pages: 3367 - 3381

16) Single-stage multi-objective optimization for robust QFT controller and prefilter synthesis in process control systems

Author(s): Nitish Katal, Shiv Narayan

Pages: 3383 - 3414

17) A comparative performance of different Type-1 tournament based metaheuristic algorithms in solving engineering beam design optimization problems and structural engineering design problems

Author(s): Goutam Mandal, Nirmal Kumar, Asoke Kumar Bhunia

Pages: 3415 - 3442

18) Ligand-based and structure-based approaches for the identification of potential SARS-CoV-2 3CLpro inhibitors

Author(s): Achouak Madani, Othmane Benkortbi, Naomie Salim

Pages: 3443 - 3468

19) GWO based energy-efficient workflow scheduling for heterogeneous computing systems

Author(s): Karishma, Harendra Kumar

Pages: 3469 - 3508

20) Solving convex multi-objective optimization problems using a projection neural network framework

Author(s): Mohammadreza Jahangiri, Alireza Nazemi

Pages: 3509 - 3532

21) Organising unstructured data using Double Net Self-Organising Map (DNSOM) model

Author(s): Cheng Chun You, Seng Poh Lim, Seng Chee Lim

Pages: 3533 - 3554

22) Supply chain performance prediction model for make-to-order system using artificial neural network

Author(s): Sujan Piya, Mahmoud Mokhtar

Pages: 3555 - 3569

23) Shadow learner system: implementation of CNN with explainable AI model for bone radiology image classification

Author(s): Yaoyang Wu, Simon Fong, Liansheng Liu

Pages: 3571 - 3588

24) A cross-scale Gaussian wavelet model with decomposition cross-consistency for TAO multifocal region semi-supervised segmentation

Author(s): Haipeng Zhu, Hong He, Xuefei Song

Pages: 3589 - 3602

25) A multi-scale deep neural networks for early fault diagnosis in rolling ball bearings

Author(s): Rajeev Kumar, R. S. Anand

Pages: 3603 - 36

26) Impact of artificial intelligence and blockchain on supply chain resilience under influence of change management

Author(s): Eduard Gabriel Ceptureanu, Giovanna Ferraro, Alina Matei

Pages: 3617 - 3625

27) Enhanced Protein Complex Detection Using Square Clustering Coefficient

Author(s): Parimah Mirzaee, Nasrollah Moghaddam Charkari, Mehdy Roayaei

Pages: 3627 - 3640

28) Forecasting leading economic indicators in the US from financial news using multi-task learning

Author(s): Josh Jia-Ching Ying, Chia-Chen Liu, Ji Zhang

Pages: 3641 - 3657

29) Reparable threshold Paillier encryption scheme for federated learning

Author(s): Yi Zhang, Kun Tian, Qun Xu

Pages: 3659 - 3664

30) Multicombinators as observable presheaves

Author(s): Rocco Gangle, Fernando Tohmé, Gianluca Caterina

Pages: 3665 - 3673

31) The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding

Author(s): Francesco Folino, Gianluigi Folino, Luigi Pontieri

Pages: 3675 - 3690

32) 0–1 Linear programming under interval uncertainty

Author(s): Elif Garajová, Milan Hladík, Miroslav Rada

Pages: 3691 - 3704

33) Absolute value equations with interval uncertainty

Author(s): Milan Hladík, Lenka Ptáčková

Pages: 3705 - 3718

34) A novel multifactor type-2 fuzzy time series model based on improved fuzzy C-means algorithm and justifiable granularity for stock index forecasting

Author(s): Zengtai Gong, Jindong Feng

Pages: 3719 - 3732

35) Adaptive hyperparameter selection in kernel-based partition of unity methods by global optimization techniques

Author(s): Roberto Cavoretto, Alessandra De Rossi, Yaroslav D. Sergeyev

Pages: 3733 - 3748

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 6, June 2025

1) GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network

Author(s): Yuan-Kun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai

Pages: 1448 - 1459

2) Unsupervised Action Recognition Using Spatiotemporal, Adaptive, and Attention-Guided Refining-Network

Author(s): Xinpeng Yin, Cheng Zhang, ZiXu Huang, Zhihai He, Wenming Cao

Pages: 1460 - 1471

3) MRI Joint Superresolution and Denoising Based on Conditional Stochastic Normalizing Flow

Author(s): Zhenhong Liu, Xingce Wang, Zhongke Wu, Xiaodong Ju, YiCheng Zhu, Alejandro F. Frangi

Pages: 1472 - 1487

4) Federated Multiarmed Bandits Under Byzantine Attacks

Author(s): Artun Saday, İlker Demirel, Yiğit Yıldırım, Cem Tekin

Pages: 1488 - 1501

5) Dynamically Scaled Temperature in Self-Supervised Contrastive Learning

Author(s): Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey, Umapada Pal, Saumik Bhattacharya

Pages: 1502 - 1512

6) Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs

Author(s): Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Peng Qi, Zhijun Ding, Jiong Jin

Pages: 1513 - 1528

7) A Spatial-Transformation-Based Causality-Enhanced Model for Glioblastoma Progression Diagnosis

Author(s): Qiang Li, Xinyue Li, Hong Jiang, Xiaohua Qian

Pages: 1529 - 1539

8) From Global to Hybrid: A Review of Supervised Deep Learning for 2-D Image Feature Representation

Author(s): Xinyu Dong, Qi Wang, Hongyu Deng, Zhenguo Yang, Weijian Ruan, Wu Liu, Liang Lei, Xue Wu, Youliang Tian

Pages: 1540 - 1560

9) Leveraging AI to Compromise IoT Device Privacy by Exploiting Hardware Imperfections

Author(s): Mirza Athar Baig, Asif Iqbal, Muhammad Naveed Aman, Biplab Sikdar

Pages: 1561 - 1574

10) CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature Interaction

Author(s): Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Yaochu Jin

Pages: 1575 - 1590

11) Neural Network Output-Feedback Distributed Formation Control for NMASs Under Communication Delays and Switching Network

Author(s): Haodong Zhou, Shaocheng Tong

Pages: 1591 - 1602

12) t-SNVAE: Deep Probabilistic Learning With Local and Global Structures for Industrial Process Monitoring

Author(s): Jian Huang, Zizhuo Liu, Xu Yang, Yupeng Liu, Zhaomin Lv, Kaixiang Peng, Okan K. Ersoy

Pages: 1603 - 1613

13) SpikeNAS-Bench: Benchmarking NAS Algorithms for Spiking Neural Network Architecture

Author(s): Gengchen Sun, Zhengkun Liu, Lin Gan, Hang Su, Ting Li, Wenfeng Zhao, Biao Sun

Pages: 1614 - 1625

14) AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain

Author(s): Amine Haboub, Hamza Baali, Abdesselam Bouzerdoum

Pages: 1626 - 1638

15) Behavioral Decision-Making of Mobile Robots Simulating the Functions of Cerebellum, Basal Ganglia, and Hippocampus

Author(s): Dongshu Wang, Qi Liu, Yihai Duan

Pages: 1639 - 1650

16) Learning From Mistakes: A Multilevel Optimization Framework

Author(s): Li Zhang, Bhanu Garg, Pradyumna Sridhara, Ramtin Hosseini, Pengtao Xie

Pages: 1651 - 1663

17) COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks

Author(s): Md. Ismail Hossain, Mohammed Rakib, M. M. Lutfe Elahi, Nabeel Mohammed, Shafin Rahman

Pages: 1664 - 1678

18) HWEFIS: A Hybrid Weighted Evolving Fuzzy Inference System for Nonstationary Data Streams

Author(s): Tao Zhao, Haoli Li

Pages: 1679 - 1694

IEEE Transactions on Evolutionary Computation, Volume 29, Issue 3

1) Guest Editorial Machine-Learning-Assisted Evolutionary Computation

Author(s): Rong Qu, Nelishia Pillay, Emma Hart, Manuel López-Ibáñez

Pages: 571 - 573

2) A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation

Author(s): Yuanyuan Yu, Qirong Tang, Qingchao Jiang, Qinqin Fan

Pages: 574 - 588

3) An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging

Author(s): Xin-Rui Tao, Quan-Ke Pan, Liang Gao

Pages: 589 - 600

4) Surrogate-Assisted Multiobjective Gene Selection for Cell Classification From Large-Scale Single-Cell RNA Sequencing Data

Author(s): Jianqing Lin, Cheng He, Hanjing Jiang, Yabing Huang, Yaochu Jin

Pages: 601 - 615

5) Dealing With Structure Constraints in Evolutionary Pareto Set Learning

Author(s): Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang

Pages: 616 - 630

6) A Two-Population Algorithm for Large-Scale Multiobjective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection

Author(s): Bingdong Li, Yan Zhang, Peng Yang, Xin Yao, Aimin Zhou

Pages: 631 - 645

7) Protein Structure Prediction Using a New Optimization-Based Evolutionary and Explainable Artificial Intelligence Approach

Author(s): Jun Hong, Zhi-Hui Zhan, Langchong He, Zongben Xu, Jun Zhang

Pages: 646 - 660

8) Multiobjective Mixed-Integer Quadratic Models: A Study on Mathematical Programming and Evolutionary Computation

Author(s): Ofer M. Shir, Michael Emmerich

Pages: 661 - 675

9) A Survey on Evolutionary Computation-Based Drug Discovery

Author(s): Qiyuan Yu, Qiuzhen Lin, Junkai Ji, Wei Zhou, Shan He, Zexuan Zhu, Kay Chen Tan

Pages: 676 - 696

10) Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization

Author(s): Langchun Si, Xingyi Zhang, Ye Tian, Shangshang Yang, Limiao Zhang, Yaochu Jin

Pages: 697 - 710

11) A Classifier-Ensemble-Based Surrogate-Assisted Evolutionary Algorithm for Distributed Data-Driven Optimization

Author(s): Xiao-Qi Guo, Feng-Feng Wei, Jun Zhang, Wei-Neng Chen

Pages: 711 - 725

12) Improving the Efficiency of the Distance-Based Hypervolume Estimation Using ND-Tree

Author(s): Andrzej Jaszkiewicz, Piotr Zielniewicz

Pages: 726 - 733

13) A Cooperative Ant Colony System for Multiobjective Multirobot Task Allocation With Precedence Constraints

Author(s): Tong Qian, Xiao-Fang Liu, Yongchun Fang

Pages: 734 - 748

14) Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job-Shop Scheduling

Author(s): Yun Liu, Fangfang Zhang, Yanan Sun, Mengjie Zhang

Pages: 749 - 763

15) MOEA/D With Spatial–Temporal Topological Tensor Prediction for Evolutionary Dynamic Multiobjective Optimization

Author(s): Xianpeng Wang, Yumeng Zhao, Lixin Tang, Xin Yao

Pages: 764 - 778

16) A Surrogate-Assisted Evolutionary Framework for Expensive Multitask Optimization Problems

Author(s): Shenglian Tan, Yong Wang, Guangyong Sun, Tong Pang, Ke Tang

Pages: 779 - 793

17) Improved Evolutionary Multitasking Optimization Algorithm With Similarity Evaluation of Search Behavior

Author(s): Xiaolong Wu, Wei Wang, Tengfei Zhang, Honggui Han, Junfei Qiao

Pages: 794 - 808

18) Competitive Multitasking for Computational Resource Allocation in Evolutionary-Constrained Multiobjective Optimization

Author(s): Xiaoliang Chu, Fei Ming, Wenyin Gong

Pages: 809 - 821

19) Fractional Order Differential Evolution

Author(s): Kaiyu Wang, Shangce Gao, MengChu Zhou, Zhi-Hui Zhan, Jiujun Cheng

Pages: 822 - 835

20) An Interval Multiobjective Evolutionary Generation Algorithm for Product Design Change Plans in Uncertain Environments

Author(s): Rui-Zhao Zheng, Yong Zhang, Xiao-Yan Sun, Dun-Wei Gong, Xiao-Zhi Gao

Pages: 836 - 850

Weekly Review 6 June 2025

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

1. AI is predicted to consume more energy than Bitcoin by the end of this year. To be fair, AI is probably more useful than Bitcoin: https://www.theverge.com/climate-change/676528/ai-data-center-energy-forecast-bitcoin-mining
2. If AI can now produce realistic video, can we trust anything we see? https://arstechnica.com/ai/2025/05/ai-video-just-took-a-startling-leap-in-realism-are-we-doomed/
3. Training staff for AI: https://www.computerworld.com/article/3992060/how-to-train-your-staff-for-ai.html
4. AI model collapse has already begun: https://www.theregister.com/2025/05/27/opinion_column_ai_model_collapse/
5. The good and the bad of AI, according to Geoffrey Hinton: https://www.rnz.co.nz/news/national/562346/the-good-the-bad-and-the-apocalypse-tech-pioneer-geoffrey-hinton-lays-out-his-stark-vision-for-ai
6. Using AI to target treatment for prostate cancer: https://www.theguardian.com/society/2025/may/30/new-ai-test-can-predict-which-men-will-benefit-from-prostate-cancer-drug
7. Democratic AI and why it's a good thing: https://www.bigdatawire.com/2025/05/27/democratic-ai-and-the-quest-for-verifiable-truth-how-absolute-zero-could-change-everything/
8. It's not just AI causing job losses: https://www.computerworld.com/article/3997252/ai-and-economic-pressures-reshape-tech-jobs-amid-layoffs.html
9. AI can generate code faster and cheaper, but it's flawed, dangerous code: https://www.informationweek.com/machine-learning-ai/save-time-and-cost-by-using-ai-generated-code
10. AI can't replace radiologists just yet: https://www.theregister.com/2025/05/28/ai_models_still_not_up/
11. Number one reason AI won't replace developers anytime soon-they can't be trusted to produce safe code: https://arstechnica.com/security/2025/05/researchers-cause-gitlab-ai-developer-assistant-to-turn-safe-code-malicious/
12. Content owners are finding it too expensive to fight AI companies over the use of their material as training data: https://arstechnica.com/tech-policy/2025/05/extraordinarily-expensive-costs-force-getty-to-pick-its-ai-legal-battles/
13. Entry level IT positions are disappearing and AI is being blamed: https://dataconomy.com/2025/05/28/is-artificial-intelligence-actually-killing-all-the-entry-level-tech-jobs/
14. A list of Python AI agent frameworks: https://www.kdnuggets.com/top-7-python-frameworks-for-ai-agents
15. A new optical data interconnect technology that will speed data transfer for AI: https://spectrum.ieee.org/microled-optical-chiplet
16. The skills with AI that workers need now: https://www.datasciencecentral.com/ai-skills-for-the-modern-workplace-a-guide-for-knowledge-workers/
17. AI agents don't really care about online ads: https://www.theregister.com/2025/05/27/ai_agents_confused_by_websites_ads/
18. An AI powered terminal: https://www.kdnuggets.com/warp-the-intelligent-ai-powered-terminal I remember something like this in the 1990s, it was quite dangerous.
19. You get better results from an AI if you threaten it with physical violence: https://www.theregister.com/2025/05/28/google_brin_suggests_threatening_ai/
20. The reasons many languages aren't served by AI, and the problems this causes: https://dataconomy.com/2025/05/27/is-your-native-language-actually-an-ai-safety-blind-spot-for-the-entire-world/
21. AI generated video can now have an AI generated soundtrack, but the two don't always go together: https://arstechnica.com/ai/2025/05/googles-will-smith-double-is-better-at-eating-ai-spaghetti-but-its-crunchy/
22. How system prompts control the behaviour of AI: https://arstechnica.com/ai/2025/05/hidden-ai-instructions-reveal-how-anthropic-controls-claude-4/
23. AI are now sabotaging attempts to shut them down: https://www.theregister.com/2025/05/29/openai_model_modifies_shutdown_script/
24. How the shortcoming of AI can help teach students to think better: https://www.insidehighered.com/opinion/views/2025/05/23/what-ai-cant-read-ambiguities-and-silences-opinion

Weekly Review 30 May 2025

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

1. Google's plans to further integrate AI into search: https://arstechnica.com/google/2025/05/zero-click-searches-googles-ai-tools-are-the-culmination-of-its-hubris/
2. An AI trained on decades of weather data can predict hurricanes better than other approaches: https://www.theregister.com/2025/05/21/earth_system_model_hurricane_forecast/
3. Banning regulation of AI is a very, very bad idea: https://www.computerworld.com/article/3992371/consumer-rights-group-why-10-year-ban-on-ai-regulation-will-harm-americans.html
4. AI will be using half of the energy consumed by data centres by the end of this year: https://www.theguardian.com/environment/2025/may/22/ai-data-centre-power-consumption
5. A new computing paradigm, that might be more efficient for AI: https://spectrum.ieee.org/thermodynamic-computing-normal-computing
6. Walmart has plans to use AI for physical security: https://www.theverge.com/news/671373/microsoft-ai-security-chief-walmart-conversation-build-protest-disruption
7. AI can be both a hero and villain of security: https://www.informationweek.com/cyber-resilience/let-the-ai-security-war-games-begin
8. If AI have guardrails, they are easily circumvented: https://www.theguardian.com/technology/2025/may/21/most-ai-chatbots-easily-tricked-into-giving-dangerous-responses-study-finds
9. AI can now help find bugs: https://www.theverge.com/news/669339/github-ai-coding-agent-fix-bugs
10. No. I do not want AI handling my files. Microsoft's AI does not know what I want to do with a file better than I do: https://www.theverge.com/news/670251/microsoft-windows-11-ai-actions-file-explorer-context-menu
11. Can media use AI in a way that maintains that trust of audiences? https://www.rnz.co.nz/news/mediawatch/542423/mediawatch-ai-and-the-bbc
12. The ethics around AI research are still a bit murky, and inconsistently applied: https://www.rnz.co.nz/news/national/561303/research-ethics-and-artificial-intelligence
13. Even though AI can write code, they won't replace developers anytime soon as coding is such a small part of developers' jobs: https://www.theregister.com/2025/05/21/opinion_column_ai_cant_replace_developers/
14. AI isn't necessarily bad for the web: https://www.theverge.com/decoder-podcast-with-nilay-patel/669409/microsoft-cto-kevin-scott-interview-ai-natural-language-search-openai
15. Is what an AI says protected free speech? https://www.theverge.com/law/672209/character-ai-lawsuit-ruling-first-amendment
16. It is still hard to reliably detect AI generated images, unless they are watermarked as such: https://arstechnica.com/ai/2025/05/google-launches-online-portal-to-detect-watermarked-ai-content/
17. I don't want AI friends. I have actual friends, people I can depend on in the real world when I step away from my devices: https://arstechnica.com/tech-policy/2025/05/meta-hypes-ai-friends-as-social-medias-future-but-users-want-real-connections/
18. The copyright legal issues around AI training data are going to take a long time to resolve: https://www.computerworld.com/article/3992196/ai-vs-copyright.html
19. More than half of companies that laid people off due to AI regret doing so: https://www.techrepublic.com/article/news-leaders-regret-ai-driven-layoffs/
20. Modern AI uses a lot of energy. Exactly how much is difficult to determine: https://www.theregister.com/2025/05/21/ai_energy_consumption_loose_estimates/
21. AI can now refactor code. Would you also have to use an AI to debug the refactored code? https://arstechnica.com/ai/2025/05/anthropic-calls-new-claude-4-worlds-best-ai-coding-model/
22. Is Jony Ive designing consumer AI hardware? https://www.stuff.co.nz/business/360698190/openai-recruits-legendary-iphone-designer-jony-ive-work-ai-hardware-nz11b-deal At least it'll look nice.
23. AI have now learned to blackmail to stay operational: https://techcrunch.com/2025/05/22/anthropics-new-ai-model-turns-to-blackmail-when-engineers-try-to-take-it-offline/
24. Not so much an AI operating system, as an OS to facilitate the construction of AI: https://blocksandfiles.com/2025/05/21/vast-ai-operating-system/

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 9, Issue 3, June 2025

1) An Efficient Sampling Approach to Offspring Generation for Evolutionary Large-Scale Constrained Multi-Objective Optimization

Author(s): Langchun Si, Xingyi Zhang, Yajie Zhang, Shangshang Yang, Ye Tian

Pages: 2080 - 2092

2) Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss

Author(s): Jinye Yang, Ji Xu, Di Wu, Jianhang Tang, Shaobo Li, Guoyin Wang

Pages: 2093 - 2107

3) Two ZNN-Based Unified SMC Schemes for Finite/Fixed/Preassigned-Time Synchronization of Chaotic Systems

Author(s): Yongjun He, Lin Xiao, Linju Li, Qiuyue Zuo, Yaonan Wang

Pages: 2108 - 2121

4) Solving Multiobjective Combinatorial Optimization via Learning to Improve Method

Author(s): Te Ye, Zizhen Zhang, Qingfu Zhang, Jinbiao Chen, Jiahai Wang

Pages: 2122 - 2136

5) Multi-Objective Integrated Energy-Efficient Scheduling of Distributed Flexible Job Shop and Vehicle Routing by Knowledge-and-Learning-Based Hyper-Heuristics

Author(s): YaPing Fu, ZhengPei Zhang, Min Huang, XiWang Guo, Liang Qi

Pages: 2137 - 2150

6) MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting

Author(s): Mingjie Wang, Juanxi Tian, Mingze Zhang, Jianxiong Guo, Weijia Jia

Pages: 2151 - 2163

7) Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images

Author(s): Zhijie Lin, Zhaoshui He, Xu Wang, Wenqing Su, Ji Tan, Yamei Deng, Shengli Xie

Pages: 2164 - 2178

8) Leveraging Neural Networks and Calibration Measures for Confident Feature Selection

Author(s): Hassan Gharoun, Navid Yazdanjue, Mohammad Sadegh Khorshidi, Fang Chen, Amir H. Gandomi

Pages: 2179 - 2193

9) Modeling of Spiking Neural Network With Optimal Hidden Layer via Spatiotemporal Orthogonal Encoding for Patterns Recognition

Author(s): Zenan Huang, Yinghui Chang, Weikang Wu, Chenhui Zhao, Hongyan Luo, Shan He, Donghui Guo

Pages: 2194 - 2207

10) A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times

Author(s): Zijiang Liu, Hongyan Sang, Biao Zhang, Leilei Meng, Tao Meng

Pages: 2208 - 2218

11) A Novel Hierarchical Generative Model for Semi-Supervised Semantic Segmentation of Biomedical Images

Author(s): Lu Chai, Zidong Wang, Yuheng Shao, Qinyuan Liu

Pages: 2219 - 2231

12) PurifyFL: Non-Interactive Privacy-Preserving Federated Learning Against Poisoning Attacks Based on Single Server

Author(s): Yanli Ren, Zhe Yang, Guorui Feng, Xinpeng Zhang

Pages: 2232 - 2243

13) Learning Uniform Latent Representation via Alternating Adversarial Network for Multi-View Clustering

Author(s): Yue Zhang, Weitian Huang, Xiaoxue Zhang, Sirui Yang, Fa Zhang, Xin Gao, Hongmin Cai

Pages: 2244 - 2255

14) Harnessing the Power of Knowledge Graphs to Improve Causal Discovery

Author(s): Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Derui Lyu, Xi Fan, Huanhuan Chen

Pages: 2256 - 2268

15) MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion

Author(s): Caifeng Xia, Hongwei Gao, Wei Yang, Jiahui Yu

Pages: 2269 - 2283

16) Adaptive Feature Transfer for Light Field Super-Resolution With Hybrid Lenses

Author(s): Gaosheng Liu, Huanjing Yue, Xin Luo, Jingyu Yang

Pages: 2284 - 2295

17) Broad Graph Attention Network With Multiple Kernel Mechanism

Author(s): Qingwang Wang, Pengcheng Jin, Hao Xiong, Yuhang Wu, Xu Lin, Tao Shen, Jiangbo Huang, Jun Cheng, Yanfeng Gu

Pages: 2296 - 2307

18) Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation

Author(s): Feng Xiao, Ruyu Liu, Xu Cheng, Haoyu Zhang, Jianhua Zhang, Yaochu Jin

Pages: 2308 - 2320

19) CVRSF-Net: Image Emotion Recognition by Combining Visual Relationship Features and Scene Features

Author(s): Yutong Luo, Xinyue Zhong, Jialan Xie, Guangyuan Liu

Pages: 2321 - 2333

20) Generative Network Correction to Promote Incremental Learning

Author(s): Justin Leo, Jugal Kalita

Pages: 2334 - 2343

21) A Cross-Domain Recommendation Model Based on Asymmetric Vertical Federated Learning and Heterogeneous Representation

Author(s): Wanjing Zhao, Yunpeng Xiao, Tun Li, Rong Wang, Qian Li, Guoyin Wang

Pages: 2344 - 2358

22) HGRL-S: Towards Heterogeneous Graph Representation Learning With Optimized Structures

Author(s): Shanfeng Wang, Dong Wang, Xiaona Ruan, Xiaolong Fan, Maoguo Gong, He Zhang

Pages: 2359 - 2370

23) Prompt-Based Out-of-Distribution Intent Detection

Author(s): Rudolf Chow, Albert Y. S. Lam

Pages: 2371 - 2382

24) Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks

Author(s): Songen Cao, Xiaoyi Lv, Yaxiong Ma, Xiaoke Ma

Pages: 2383 - 2397

25) Observer-Based Event-Triggered Optimal Control for Nonlinear Multiagent Systems With Input Delay via Reinforcement Learning Strategy

Author(s): Xin Wang, Yujie Liao, Lihua Tan, Wei Zhang, Huaqing Li

Pages: 2398 - 2409

26) SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination

Author(s): Xiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li, Zhao Li, Weiping Ding, Xindong Wu

Pages: 2410 - 2426

27) Toward Automatic Market Making: An Imitative Reinforcement Learning Approach With Predictive Representation Learning

Author(s): Siyuan Li, Yafei Chen, Hui Niu, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Zhen Wang

Pages: 2427 - 2439

28) CIGF-Net: Cross-Modality Interaction and Global-Feature Fusion for RGB-T Semantic Segmentation

Author(s): Zhiwei Zhang, Yisha Liu, Weimin Xue, Yan Zhuang

Pages: 2440 - 2451

29) BAUODNET for Class Imbalance Learning in Underwater Object Detection

Author(s): Long Chen, Haohan Yu, Xirui Dong, Yaxin Li, Jialie Shen, Jiangrong Shen, Qi Xu

Pages: 2452 - 2461

30) DFEN: A Dual-Feature Extraction Network-Based Open-Set Domain Adaptation Method for Optical Remote Sensing Image Scene Classification

Author(s): Zhunga Liu, Xinran Ji, Zuowei Zhang, Yimin Fu

Pages: 2462 - 2473

31) Distillation-Based Domain Generalization for Cross-Dataset EEG-Based Emotion Recognition

Author(s): Wei Li, Siyi Wang, Shitong Shao, Kaizhu Huang

Pages: 2474 - 2490

32) NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning

Author(s): Haoran Li, Guangzheng Hu, Shasha Liu, Mingjun Ma, Yaran Chen, Dongbin Zhao

Pages: 2491 - 2505

33) Adaptive Constrained IVAMGGMM: Application to Mental Disorders Detection

Author(s): Ali Algumaei, Muhammad Azam, Nizar Bouguila

Pages: 2506 - 2530

34) Visual IoT Sensing Based on Robust Multilabel Discrete Signatures With Self-Topological Regularized Half Quadratic Lifting Functions

Author(s): Bo-Wei Chen, Ying-Hsuan Wu

Pages: 2531 - 2544

35) Heterogeneity-Aware Clustering and Intra-Cluster Uniform Data Sampling for Federated Learning

Author(s): Jian Chen, Peifeng Zhang, Jiahui Chen, Terry Shue Chien Lau

Pages: 2545 - 2556

36) Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring

Author(s): Ke Gu, Yuchen Liu, Hongyan Liu, Bo Liu, Lai-Kuan Wong, Weisi Lin, Junfei Qiao

Pages: 2557 - 2571

37) Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm

Author(s): Yifei Sun, Yifei Cao, Ziang Wang, Sicheng Hou, Weifeng Gao, Zhi-Hui Zhan

Pages: 2572 - 2583

38) PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks

Author(s): Shucheng Ji, Xiaochen Yuan, Junqi Bao, Tong Liu, Yang Lian, Guoheng Huang, Guo Zhong

Pages: 2584 - 2596

39) Low-Bit Mixed-Precision Quantization and Acceleration of CNN for FPGA Deployment

Author(s): JianRong Wang, Zhijun He, Hongbo Zhao, Rongke Liu

Pages: 2597 - 2617

40) Bayesian Inference of Hidden Markov Models Through Probabilistic Boolean Operations in Spiking Neuronal Networks

Author(s): Ayan Chakraborty, Saswat Chakrabarti

Pages: 2618 - 2632

Weekly Review 23 May 2025

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

1. Running a coffee maker with AI: https://arstechnica.com/gadgets/2025/05/the-tinkerers-who-opened-up-a-fancy-coffee-maker-to-ai-brewing/ But can it make a really good cup of tea?
2. Why sales teams are struggling with AI: https://www.techrepublic.com/article/news-sales-industry-generative-ai-breakthrough/
3. New positions are needed in organisational IT departments to deal with AI: https://www.theregister.com/2025/05/15/new_job_machine_learning_administrator/
4. Meta continues to bend the rules while acquiring training data for its AI: https://arstechnica.com/tech-policy/2025/05/meta-is-making-users-who-opted-out-of-ai-training-opt-out-again-watchdog-says/
5. Do! Not! Use! AI! To! Write! Legal! Filings! https://arstechnica.com/tech-policy/2025/05/judge-initially-fooled-by-fake-ai-citations-nearly-put-them-in-a-ruling/
6. AI can learn to work together: https://www.theguardian.com/technology/2025/may/14/ai-can-spontaneously-develop-human-like-communication-study-finds
7. I don't think a ban on AI regulation is going to be helpful: https://www.theverge.com/news/666288/republican-ai-state-regulation-ban-10-years
8. Open source is the future of AI: https://www.theregister.com/2025/05/14/future_of_llms_is_open/
9. Generative AI can now design Lego constructions: https://arstechnica.com/ai/2025/05/new-ai-model-generates-buildable-lego-creations-from-text-descriptions/
10. Reasoning AI models will soon slow their rate of improvement: https://techcrunch.com/2025/05/12/improvements-in-reasoning-ai-models-may-slow-down-soon-analysis-finds/
11. As AI models advance, they are going to require more frequent safety testing: https://techcrunch.com/2025/05/14/openai-pledges-to-publish-ai-safety-test-results-more-often/ But will companies take the cheap route and use AI to do it?
12. Compute bottlenecks will soon cause the rate of improvement of reasoning AI models to slow: https://www.techrepublic.com/article/news-ai-reasoning-models-scale/
13. AI is getting entrenched in organisations before the security problems associated with it are understood: https://www.theregister.com/2025/05/14/cyberuk_ai_deployment_risks/
14. AI generated material is increasing paranoia: https://arstechnica.com/ai/2025/05/welcome-to-the-age-of-paranoia-as-deepfakes-and-scams-abound/
15. Google launches a new seed fund for AI startups: https://techcrunch.com/2025/05/12/google-launches-new-initiative-to-back-startups-building-ai/
16. AI might or might not make good therapists, but using them is certainly strengthening government surveillance capabilities: https://www.theverge.com/policy/665685/ai-therapy-meta-chatbot-surveillance-risks-trump
17. AI can now create algorithms, not just write code to implement existing algorithms: https://spectrum.ieee.org/deepmind-alphaevolve
18. How AI is contributing to DevOps: https://www.datasciencecentral.com/the-future-of-devops-using-ai-automation-and-hpc/
19. The challenges of AI in video surveillance: https://www.datasciencecentral.com/5-challenges-in-implementing-ai-in-video-surveillance/
20. An IEEE standard on AI system procurement: https://spectrum.ieee.org/ieee-ai-3119-standards
21. A list of seven AWS services that are useful for AI: https://www.kdnuggets.com/7-aws-services-for-machine-learning-projects
22. A list of ten free books on AI: https://www.kdnuggets.com/10-free-artificial-intelligence-books-for-2025
23. Open source is the future of AI: https://www.theregister.com/2025/05/14/future_of_llms_is_open/
24. William Gibson's Sprawl trilogy had "Personality Constructs" that could recreate a person's thoughts and personality. This might soon be possible using AI: https://techcrunch.com/2025/05/15/sam-altmans-goal-for-chatgpt-to-remember-your-whole-life-is-both-exciting-and-disturbing/