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/

Weekly Review 16 May 2025

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

1. The US tax service wants to use AI for collections enforcement. This is not going to end well: https://www.theregister.com/2025/05/08/the_irs_plans_to_replace/
2. Not content with crashing half the planet in 2024, CrowStrike now wants to lean even more on AI: https://www.theregister.com/2025/05/07/crowdstrike_trims_workforce_ai/
3. The major problem facing organisations wanting to roll out generative AI is a lack of a skilled workforce: https://www.bigdatawire.com/2025/05/06/these-are-the-top-chadllenges-to-genai-adoption-according-to-aws/
4. Google's AI tools that protect against scammers: https://techcrunch.com/2025/05/08/google-rolls-out-ai-tools-to-protect-chrome-users-against-scams/
5. It is not safe to rely on AI chatbots for therapy: https://www.theguardian.com/technology/2025/may/07/experts-warn-therapy-ai-chatbots-are-not-safe-to-use
6. University instructors want to use AI, but want more guidance and support in doing so: https://www.insidehighered.com/news/student-success/academic-life/2025/05/08/professors-using-ai-need-more-administrative-support
7. AI generated vulnerability reports are overwhelming open source projects: https://arstechnica.com/gadgets/2025/05/open-source-project-curl-is-sick-of-users-submitting-ai-slop-vulnerabilities/
8. AI companies want to use AI to evaluate therapeutic drugs: https://dataconomy.com/2025/05/08/openai-and-xai-talking-ai-drug-evaluation-with-fda/
9. Three free courses on generative AI: https://www.kdnuggets.com/3-excellent-practical-generative-ai-courses
10. Amazon's AI tool to improve product listings. I'm not sure "improve" is the right word here: https://techcrunch.com/2025/05/08/amazons-newest-ai-tool-is-designed-to-enhance-product-listings/
11. A sci-fi conference used AI to screen potential panellists. This has upset a lot of people: https://www.theregister.com/2025/05/07/worldcon_uses_ai/
12. Chain of Thought Reasoning to improve the performance of AI: https://spectrum.ieee.org/chain-of-thought-prompting
13. AI are not neutral third parties, they will be used to manipulate people: https://www.theregister.com/2025/05/06/schneier_ai_models/
14. Do not rely on AI chatbots for health advice: https://techcrunch.com/2025/05/05/people-struggle-to-get-useful-health-advice-from-chatbots-study-finds/
15. AI training causes spikes in power demand. Ways of hardening the grid against these spikes are needed: https://spectrum.ieee.org/supercapacitor-2671883490
16. If you want an AI that doesn't need prompt engineering, start with the data: https://www.datasciencecentral.com/how-to-design-llms-that-dont-need-prompt-engineering/
17. People who use AI more in their work have poorer professional reputations: https://arstechnica.com/ai/2025/05/ai-use-damages-professional-reputation-study-suggests/
18. Securing AI applications: https://www.kdnuggets.com/securing-machine-learning-application-with-authentication-and-user-management
19. Asking an AI to be more concise makes it more likely to hallucinate: https://techcrunch.com/2025/05/08/asking-chatbots-for-short-answers-can-increase-hallucinations-study-finds/
20. It is better to be more discerning about which data you use to build an AI, rather than just shovelling everything in: https://www.bigdatawire.com/2025/05/07/how-to-build-a-lean-ai-strategy-with-data/
21. Why current cloud governance practices are hindering the growth of AI: https://www.informationweek.com/it-infrastructure/cloud-governance-in-the-age-of-ai
22. Open source AI models discriminate against women when used for recruitment: https://www.theregister.com/2025/05/02/open_source_ai_models_gender_bias/
23. LinkedIn's AI powered job search tool: https://www.theverge.com/news/662490/linkedin-ai-job-search-tool-availability
24. Some AI companies will certainly fail. But those companies that provide useful services will survive and thrive: https://www.computerworld.com/article/3980239/will-genai-businesses-crash-and-burn.html

Soft Computing, Volume 29, Issue 6, March 2025

1) On subresiduated lattice ordered commutative monoids and some of its subvarieties

Author(s): Juan Manuel Cornejo, Hernán Javier San Martín, Valeria Anahí Sígal

Pages: 2517 - 2529

2) Dynamic updating approximations of local multigranulation neighborhood covering rough sets

Author(s): Qi Shi, Yan-Lan Zhang

Pages: 2531 - 2550

3) Relationships between various ideals in L-algebra

Author(s): S. Saidi Goraghani, R. A. Borzooei

Pages: 2551 - 2562

4) Numerical algorithm for solving third-order Emden–Fowler type pantograph differential equations: Taylor operational matrix method

Author(s): Nikita Saha, Randhir Singh

Pages: 2563 - 2579

5) L-fuzzy transforms: an operator-oriented approach

Author(s): A. P. Singh, S. P. Tiwari, I. Perfilieva

Pages: 2581 - 2593

6) A golden section-based group decision-making approach to software trustworthiness evaluation

Author(s): Chuan Yue

Pages: 2595 - 2618

7) The impact of hydrogen energy storage aqua electrolyzer fuels cell on automatic generation control of power system using optimal FGS PID controller

Author(s): Ankur Rai, Dushmanta Kumar Das

Pages: 2619 - 2638

8) Choquet integral in ranking data: on the construction of a measure of importance and interaction

Author(s): M. Eugenia Cornejo, Jesús Medina, Andreja Tepavčević

Pages: 2639 - 2651

9) Applications of integrals and extreme value of solution of uncertain age-dependent population equation with migration source

Author(s): Lu Yang

Pages: 2653 - 2668

10) A modified slacks-based measure of efficiency and super-efficiency under zero and negative data

Author(s): Ehsan Zanboori

Pages: 2669 - 2686

11) Optimal stress levels and inference procedures for constant stress accelerated life test under bathtub-shaped lifetime model

Author(s): Çağatay Çetinkaya

Pages: 2687 - 2714

12) Fc-gcn: A formal concept-enhanced graph convolution network model

Author(s): Kai Wu, Chao Zhang, Vincenzo Loia

Pages: 2715 - 2725

13) A model-free feature extraction procedure for interval-valued time series prediction

Author(s): Wan Tian, Zhongfeng Qin, Tao Hu

Pages: 2727 - 2741

14) Neutrosophic multi-choice 4D-transportation problem for different quality items

Author(s): Dipankar Chakraborty, Sarbari Samanta, Dipak Kumar Jana

Pages: 2743 - 2767

15) Optimizing energy harvesting in web of things services: a metaheuristic approach with retrial queue under working vacation

Author(s): N. Micheal Mathavavisakan, K. Indhira, Sherif I. Ammar

Pages: 2769 - 2790

16) Differentiation or undifferentiation? analysis of car-sharing strategies for the vehicle manufacturer

Author(s): Xin Yu, Zhongwei Chen, Zhi-Ping Fan

Pages: 2791 - 2806

17) A two-stage optimization replacement policy with multiple spare units

Author(s): Chunxiao Zhang, Hejiao Shen, Chao Yan

Pages: 2807 - 2817

18) A new model for facility bus terminal location problem based on modified Kerre’s inequality

Author(s): Sahar Rahdar, Reza Ghanbari, Donya Heidari

Pages: 2819 - 2828

19) A new metaheuristic optimization algorithm based on the participation of smart students to increase the class performance

Author(s): Einollah Pira, Alireza Rouhi

Pages: 2829 - 2844

20) A novel stochastic machine learning approach for resilient-leagile supplier selection: a circular supply chain in the era of industry 4.0

Author(s): Bahar Javan Molaei, Mohssen Ghanavati-Nejad, Mohammad Sheikhalishahi

Pages: 2845 - 2866

21) An arithmetic–geometric mean difference based approach to consistency index and priority vector of pairwise comparison matrices

Author(s): Yuan-Kai Hu, Fang Liu, Shi-Shan Wang

Pages: 2867 - 2884

22) On pure ideals in semilattices

Author(s): Nilesh Mundlik, Mayur Kshirsagar

Pages: 2885 - 2889

23) Innovative image encryption approach based on bitwise XOR high nonlinear S-boxes and random permutation

Author(s): Fırat Artuğer

Pages: 2891 - 2903

24) Evolutionary optimization in VANET services: a comprehensive survey, challenges and futuristic approach

Author(s): Madhuri Badole, Anuradha Thakare, Diego Oliva

Pages: 2905 - 2929

25) Wind farm layout optimization based on Harris hawk optimization algorithm with variable weight coefficients and Jansen wake model

Author(s): Min Wang, Jie-Sheng Wang, Yu-Cai Wang

Pages: 2931 - 2969

26) Construction and empirical research of a subjective-and-objective-analysis model of the online learning behavior

Author(s): Ke Wang, Kun Zheng, Ying Wang

Pages: 2971 - 2982

27) A synchronous spatiotemporal graph neural network for short-term traffic flow prediction

Author(s): Zhao Zhang, Xiaohong Jiao

Pages: 2983 - 2997

28) Modeling of metaheuristic-based dual cluster head selection with routing protocol for energy-efficient wireless sensor networks

Author(s): Maddikera Krishna Reddy, Anusha Sowbarnika Veluswamy, Syed Shameem

Pages: 2999 - 3020

29) Expansive detector via hybrid temporal and transposed convolutional mechanism for weld proximity defects

Author(s): Zihua Chen, Runmei Zhang, Kuan-ching Li

Pages: 3021 - 3034

30) Forecasting of exchange rate time series based on event-aware transformer mode

Author(s): Siyi Zhang, Tong Che, Ping Feng

Pages: 3035 - 3045

31) Sustainability, innovation and knowledge: a complex relationship based on an empirical study

Author(s): Sebastian-Ion Ceptureanu, Eduard-Gabriel Ceptureanu, Adriana Lavinia Iancu

Pages: 3047 - 3062

32) Why does economics need complexity?

Author(s): Mauro Gallegati, Silvia Gallegati

Pages: 3063 - 3072

33) A review for finding determinants of some band matrices

Author(s): Maryam Shams Solary

Pages: 3073 - 3082

34) Modeling and simulating a startup ecosystem development with a delayed differential equation

Author(s): Alessio Brini, Viviana Fanelli

Pages: 3083 - 3095

35) Explainable Grouped Deep Echo State Network for EEG-based emotion recognition

Author(s): Samar Bouazizi, Hela Ltifi

Pages: 3097 - 3114

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 5, May 2025

1) A Comparative Review of Deep Learning Techniques on the Classification of Irony and Sarcasm in Text

Author(s): Leonidas Boutsikaris, Spyros Polykalas

Pages: 1052 - 1066

2) Approaching Principles of XAI: A Systematization

Author(s): Raphael Ronge, Bernhard Bauer, Benjamin Rathgeber

Pages: 1067 - 1079

3) Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy

Author(s): Weijian Mai, Jian Zhang, Pengfei Fang, Zhijun Zhang

Pages: 1080 - 1099

4) Analysis of An Intellectual Mechanism of a Novel Crop Recommendation System Using Improved Heuristic Algorithm-Based Attention and Cascaded Deep Learning Network

Author(s): Yaganteeswarudu Akkem, Saroj Kumar Biswas

Pages: 1100 - 1113

5) Improving String Stability in Cooperative Adaptive Cruise Control Through Multiagent Reinforcement Learning With Potential-Driven Motivation

Author(s): Kun Jiang, Min Hua, Xu He, Lu Dong, Quan Zhou, Hongming Xu, Changyin Sun

Pages: 1114 - 1127

6) A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits

Author(s): Jin Zheng, Qing Gao, Daoyi Dong, Jinhu Lü, Yue Deng

Pages: 1128 - 1142

7) Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment

Author(s): Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li

Pages: 1143 - 1155

8) CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies

Author(s): Wenjie Sun, Chengke Wu, Qinge Xiao, Junjie Jiang, Yuanjun Guo, Ying Bi, Xinyu Wu, Zhile Yang

Pages: 1156 - 1170

9) Unsupervised Learning of Unbiased Visual Representations

Author(s): Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

Pages: 1171 - 1183

10) Herb-Target Interaction Prediction by Multiinstance Learning

Author(s): Yongzheng Zhu, Liangrui Ren, Rong Sun, Jun Wang, Guoxian Yu

Pages: 1184 - 1193

11) Periodic Hamiltonian Neural Networks

Author(s): Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan

Pages: 1194 - 1202

12) Unsigned Road Incidents Detection Using Improved RESNET From Driver-View Images

Author(s): Changping Li, Bingshu Wang, Jiangbin Zheng, Yongjun Zhang, C.L. Philip Chen

Pages: 1203 - 1216

13) Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models

Author(s): Mohammad Alali, Mahdi Imani

Pages: 1217 - 1232

14) NVMS-Net: A Novel Constrained Noise-View Multiscale Network for Detecting General Image Processing Based Manipulations

Author(s): Gurinder Singh, Kapil Rana, Puneet Goyal, Sathish Kumar

Pages: 1233 - 1247

15) Improved Supervised Machine Learning for Predicting Auto Insurance Purchase Patterns

Author(s): Mourad Nachaoui, Fatma Manlaikhaf, Soufiane Lyaqini

Pages: 1248 - 1258

16) An Intelligent Chatbot Assistant for Comprehensive Troubleshooting Guidelines and Knowledge Repository in Printed Circuit Board Production

Author(s): Supparesk Rittikulsittichai, Thitirat Siriborvornratanakul

Pages: 1259 - 1268

17) Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic

Author(s): Xiao-Cheng Liao, Xiao-Min Hu, Xiang-Ling Chen, Yi Mei, Ya-Hui Jia, Wei-Neng Chen

Pages: 1269 - 1283

18) Multilabel Black-Box Adversarial Attacks Only With Predicted Labels

Author(s): Linghao Kong, Wenjian Luo, Zipeng Ye, Qi Zhou, Yan Jia

Pages: 1284 - 1297

19) VODACBD: Vehicle Object Detection Based on Adaptive Convolution and Bifurcation Decoupling

Author(s): Yunfei Yin, Zheng Yuan, Yu He, Xianjian Bao

Pages: 1298 - 1308

20) Seeking Secure Synchronous Tracking of Networked Agent Systems Subject to Antagonistic Interactions and Denial-of-Service Attacks

Author(s): Weihao Li, Lei Shi, Mengji Shi, Jiangfeng Yue, Boxian Lin, Kaiyu Qin

Pages: 1309 - 1320

21) Revisiting LARS for Large Batch Training Generalization of Neural Networks

Author(s): Khoi Do, Minh-Duong Nguyen, Nguyen Tien Hoa, Long Tran-Thanh, Nguyen H. Tran, Quoc-Viet Pham

Pages: 1321 - 1333

22) A Stratified Seed Selection Algorithm for K-Means Clustering on Big Data

Author(s): Namita Bajpai, Jiaul H. Paik, Sudeshna Sarkar

Pages: 1334 - 1344

23) Visual–Semantic Fuzzy Interaction Network for Zero-Shot Learning

Author(s): Xuemeng Hui, Zhunga Liu, Jiaxiang Liu, Zuowei Zhang, Longfei Wang

Pages: 1345 - 1359

24) Weakly Correlated Multimodal Domain Adaptation for Pattern Classification

Author(s): Shuyue Wang, Zhunga Liu, Zuowei Zhang, Mohammed Bennamoun

Pages: 1360 - 1372

25) Prompt Customization for Continual Learning

Author(s): Yong Dai, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Dongmei Jiang, Yaowei Wang

Pages: 1373 - 1385

26) Monocular 3-D Reconstruction of Blast Furnace Burden Surface Based on Cross-Domain Generative Self-Supervised Network

Author(s): Zhipeng Chen, Xinyi Wang, Ling Shen, Jinshi Liu, Jianjun He, Jilin Zhu, Weihua Gui

Pages: 1386 - 1400

27) Energy-Efficient Hybrid Impulsive Model for Joint Classification and Segmentation on CT Images

Author(s): Bin Hu, Zhi-Hong Guan, Guanrong Chen, Jürgen Kurths

Pages: 1401 - 1413

28) Deep Temporally Recursive Differencing Network for Anomaly Detection in Videos

Author(s): Gargi V. Pillai, Debashis Sen

Pages: 1414 - 1428

29) A Hierarchical Cross-Modal Spatial Fusion Network for Multimodal Emotion Recognition

Author(s): Ming Xu, Tuo Shi, Hao Zhang, Zeyi Liu, Xiao He

Pages: 1429 - 1438

30) On the Role of Priors in Bayesian Causal Learning

Author(s): Bernhard C. Geiger, Roman Kern

Pages: 1439 - 1445

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 5, May 2025

1) Prescribed-Time Fuzzy Optimal Containment Control for Multiagent Systems With Deferred Output Constraints: An Output Mask Method

Author(s): Xiaona Song, Peng Sun, Shuai Song, Choon Ki Ahn

Pages: 1402 - 1414

2) A Generalized Integrated Fuzzy-MPC With Optimal Input Excitation for Complex Systems With Industrial Applications

Author(s): Keke Huang, Xinyu Ying, Dehao Wu, Chunhua Yang, Weihua Gui

Pages: 1415 - 1428

3) Adjacency-Aware Fuzzy Label Learning for Skin Disease Diagnosis

Author(s): Murong Zhou, Baifu Zuo, Guohua Wang, Gongning Luo, Fanding Li, Suyu Dong, Wei Wang, Kuanquan Wang, Xiangyu Li, Lifeng Xu

Pages: 1429 - 1440

4) Fuzzy Quantum Group Decision Making and Its Application in Meteorological Disaster Emergency

Author(s): Shuli Yan, Yizhao Xu, Zaiwu Gong, Enrique Herrera-Viedma

Pages: 1441 - 1454

5) Fuzzy Adaptive Group Formation-Containment Tracking Control of Nonlinear Multiagent Systems With Intermittent Actuator Faults

Author(s): Zhibin Zhu, Yunbiao Jiang, Zhongxin Liu, Fuyong Wang

Pages: 1455 - 1465

6) Event-Triggered Trajectory Tracking Control for Unmanned Surface Vessels With Prescribed Performance Using Barrier Lyapunov Functions

Author(s): Xian Du, Xu Yuan, Bin Yang, Xudong Zhao

Pages: 1466 - 1474

7) Secure Control for T–S Fuzzy Wind Turbine Systems Under Hybrid Cyberattacks via an Adaptive Memory Event-Triggered Mechanism

Author(s): Dong Xu, Yajuan Liu, Sangmoon Lee

Pages: 1475 - 1487

8) Distributed Adaptive Tracking Control for Fuzzy Nonlinear MASs Under Round-Robin Protocol

Author(s): Sha Fan, Min Meng, Yukai Fu, Chao Deng

Pages: 1488 - 1498

9) Fuzzy Terminal Sliding-Mode Control With Adaptive Switching Gain

Author(s): Cheng-Cheng Feng, Hao-Yuan Sun, Hong-Gui Han, Sheng-Li Du

Pages: 1499 - 1509

10) A Vertical Federated Multiview Fuzzy Clustering Method for Incomplete Data

Author(s): Yan Li, Xingchen Hu, Shengju Yu, Weiping Ding, Witold Pedrycz, Yeo Chai Kiat, Zhong Liu

Pages: 1510 - 1524

11) Identification and Convergence Analysis of Interval Type-2 Takagi–Sugeno–Kang Fuzzy Systems for High-Dimensional Classification Problems

Author(s): Qinwei Fan, Deqing Ji

Pages: 1525 - 1539

12) Hybrid Modeling and Fuzzy Control via Petri Nets for Supply Chain Networks Under Disruptions

Author(s): En-Zhi Cao, Chen Peng, Xiangpeng Xie, Yi Yang

Pages: 1540 - 1554

13) Asynchronous PID Control for T-S Fuzzy Systems Over Gilbert-Elliott Channels Utilizing Detected Channel Modes

Author(s): Yezheng Wang, Zidong Wang, Lei Zou, Quanbo Ge, Hongli Dong

Pages: 1555 - 1567

14) Fuzzy Adaptive Cooperative Prescribed Time Control for Nonlinear Vehicular Platoon Systems

Author(s): Kewen Li, Xiao Liu

Pages: 1568 - 1577

15) Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised Learning

Author(s): Ji Xu, Gang Ren, Jianhang Tang, Weiping Ding, Guoyin Wang

Pages: 1578 - 1591

16) Online Streaming Feature Selection Using Bidirectional Complementarity Based on Fuzzy Gini Entropy

Author(s): Chucai Zhang, Zhengxiang Lu, Yongkang Zhang, Jianhua Dai

Pages: 1592 - 1604

17) On Dissipativity-Preserving for Switched Positive Takagi–Sugeno Fuzzy Delayed Systems via Switching

Author(s): Peng Wang, Hong Sang, Chuangxia Huang, Jinde Cao, Mahmoud Abdel-Aty

Pages: 1605 - 1616

18) A Novel Manifold Optimization Algorithm With the Dual Function and a Fuzzy Valuation Step

Author(s): Weiping Liu, Youfa Liu, He Li, Jingui Zou

Pages: 1617 - 1626

19) Adaptive Critic-Based Optimal Control of Input-Constrained Stochastic Systems via Generalized Fuzzy Hyperbolic Models

Author(s): Lulu Zhang, Huaguang Zhang, Jiayue Sun, Zhongyang Ming

Pages: 1627 - 1638

20) Exponential Stability of Fractional-Order Fuzzy Multilayer Networks With Short Memory and Noninstantaneous Impulses via Intermittent Control

Author(s): Yao Xu, Zui Chen, Wenxue Li, Yongbao Wu

Pages: 1639 - 1649

21) Granular Sequential Three-Way Decision for Specific Decision Classes

Author(s): Yunlong Cheng, Xiuhua Yang, Qinghua Zhang, Yabin Shao, Guoyin Wang

Pages: 1650 - 1663

22) A Fuzzy Logic-Based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy

Author(s): Xiaowei Jiang, Liang Ou, Yanan Chen, Na Ao, Yu-Cheng Chang, 

Thomas Do, Chin-Teng Lin

Pages: 1664 - 1677

23) Probabilistic Linguistic Convolutional Neural Network Dealing With Low-Quality Image Classification

Author(s): Xiangyu Xiao, Zeshui Xu, Weidong Gan, Tong Wu, Yuanhang Zheng

Pages: 1678 - 1690

24) Adaptive Fuzzy Secure Containment Control for Fully Heterogeneous Nonlinear Systems Under Switching Topologies and DoS Attacks

Author(s): Dongxue Jiang, Guoguang Wen, Sara Ifqir, Ahmed Rahmani, Christophe Sueur, Tingwen Huang

Pages: 1691 - 1697

Complex & Intelligent Systems, Volume 11, Issue 5, May 2025

1) Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention

Author(s): Jinxu Zhang, Jin Liu, Junxiang Wang

2) Micro-expression spotting based on multi-modal hierarchical semantic guided deep fusion and optical flow driven feature integration

Author(s): Haolin Chang, Zhihua Xie, Fan Yang

3) Wavelet attention-based implicit multi-granularity super-resolution network

Author(s): Chen Boying, Shi Jie

4) Gaitformer: a spatial-temporal attention-enhanced network without softmax for Parkinson’s disease early detection

Author(s): Shupei Jiao, Hua Huo, Dongfang Li

5) A two-stage algorithm based on greedy ant colony optimization for travelling thief problem

Author(s): Zheng Zhang, Xiao-Yun Xia, Jun Zhang

6) Graph-based adaptive feature fusion neural network model for person-job fit

Author(s): Xia Xue, Feilong Wang, Baoli Wang

7) Fractals in Sb-metric spaces

Author(s): Fahim Ud Din, Sheeza Nawaz, Fairouz Tchier

8) Cooperative path planning optimization for ship-drone delivery in maritime supply operations

Author(s): Xiang Li, Hongguang Zhang

9) Reducing hallucinations of large language models via hierarchical semantic piece

Author(s): Yanyi Liu, Qingwen Yang, Yingyou Wen

10) A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems

Author(s): Hanqing Liu, Zhigang Ren, Wenhao Du

11) Knowledge graph-based entity alignment with unified representation for auditing

Author(s): Youhua Zhou, Xueming Yan, Fangqing Liu

12) A parallel large-scale multiobjective evolutionary algorithm based on two-space decomposition

Author(s): Feng Yin, Bin Cao

13) A study of enhanced visual perception of marine biology images based on diffusion-GAN

Author(s): Feifan Yao, Huiying Zhang, Pan Xiao

14) Research on knowledge tracing based on learner fatigue state

Author(s): Haoyu Wang, Qianxi Wu, Guohui Zhou

15) An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning

Author(s): Zhenzu Bai, Haiyin Zhou, Jiongqi Wang

16) Correction to: Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation

Author(s): Yao Zheng, Jingyuan Li, Yuanzhuo Wang

17) A reliability centred maintenance-oriented framework for modelling, evaluating, and optimising complex repairable flow networks

Author(s): Nicholas Kaliszewski, Romeo Marian, Javaan Chahl

18) Enhancing implicit sentiment analysis via knowledge enhancement and context information

Author(s): Yanying Mao, Qun Liu, Yu Zhang

19) The opinion dynamics model for group decision making with probabilistic uncertain linguistic information

Author(s): Jianping Fan, Zhuxuan Jin, Meiqin Wu

20) Co-evolutionary algorithm with a region-based diversity enhancement strategy

Author(s): Kangshun Li, RuoLin RuanHui, Wang

21) SLPOD: superclass learning on point cloud object detection

Author(s): Xiaokang Yang, Kai Zhang, Zhiheng Zhang

22) Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification

Author(s): Bin Yang, Lei Ding, Bo Liu

23) Traffic signal optimization control method based on attention mechanism updated weights double deep Q network

Author(s): Huizhen Zhang, Zhenwei Fang, Xinyan Zeng

24) Enhancing cyber defense strategies with discrete multi-dimensional Z-numbers: a multi-attribute decision-making approach

Author(s): Aiting Yao, Huang Chen, Xuejun Li

25) A lightweight vision transformer with weighted global average pooling: implications for IoMT applications

Author(s): Huiyao Dong, Igor Kotenko, Shimin Dong

26) Self-attention-based graph transformation learning for anomaly detection in multivariate time series

Author(s): Qiushi Wang, Yueming Zhu, Yunbin Ma

27) TransRNetFuse: a highly accurate and precise boundary FCN-transformer feature integration for medical image segmentation

Author(s): Baotian Li, Jing Zhou, Jia Wu

28) A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes

Author(s): Yu Peng, Erchao Li

29) Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems

Author(s): Yanling Chen, Jingyi Wei, Jie Zhou

30) A heuristic-assisted deep reinforcement learning algorithm for flexible job shop scheduling with transport constraints

Author(s): Xiaoting Dong, Guangxi Wan, Peng Zeng

Weekly Review 9 May 2025

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

1. A brief history of the British AI Winter: https://spectrum.ieee.org/freddy-robot-british-ai-winter
2. A brief description of some popular open source AI tools: https://www.kdnuggets.com/5-open-source-ai-tools-that-are-worth-your-time
3. AI now will lie if it allows them to accomplish their goals: https://www.theregister.com/2025/05/01/ai_models_lie_research/
4. On the need for governance of internal AI: https://dataconomy.com/2025/04/29/why-we-must-govern-ai-used-inside-tech-companies/
5. The use of AI has made some tasks more efficient, but creates extra work that eats up the time saved: https://arstechnica.com/ai/2025/05/time-saved-by-ai-offset-by-new-work-created-study-suggests/
6. So far, AI has not had a significant effect on jobs or wages: https://www.theregister.com/2025/04/29/generative_ai_no_effect_jobs_wages/
7. The energy demands of AI is contributing to pollution that is impacting human health: https://spectrum.ieee.org/data-centers-pollution
8. 30% of Microsoft's new code is written by AI: https://www.theregister.com/2025/04/30/microsoft_meta_autocoding/ Well, MS software was never that secure to begin with...
9. The advantages of AI PCs: https://www.computerworld.com/article/3975373/what-is-an-ai-pc-the-power-of-artificial-intelligence-locally.html
10. Avoiding ethical problems in your AI projects: https://spectrum.ieee.org/ai-ethics-advice
11. Can AI generated art ever really be art? https://spectrum.ieee.org/ai-art-whitney-museum
12. The impact of AI on data centres: https://www.informationweek.com/it-infrastructure/how-ai-is-transforming-data-centers
13. AI is using more and more energy. Can improvements in efficiency offset this growth? https://spectrum.ieee.org/ai-energy
14. The security risks of AI: https://www.bigdatawire.com/2025/04/25/three-ways-ai-can-weaken-your-cybersecurity/
15. Don't use AI write your job application: https://www.stuff.co.nz/nz-news/360664623/thinking-using-ai-write-your-job-application-think-again
16. Reasoning AI don't reason all that well at the moment: https://arstechnica.com/ai/2025/04/new-study-shows-why-simulated-reasoning-ai-models-dont-yet-live-up-to-their-billing/
17. Designing university curricula in the age of AI: https://www.insidehighered.com/opinion/views/2025/04/30/three-laws-curriculum-design-ai-age-opinion
18. Google's search AI will make things up rather than admit it doesn't know the answer: https://arstechnica.com/ai/2025/04/google-searchs-made-up-ai-explanations-for-sayings-no-one-ever-said-explained/
19. AI generated code is not safe! https://arstechnica.com/security/2025/04/ai-generated-code-could-be-a-disaster-for-the-software-supply-chain-heres-why/
20. You'd think a lawyer would know better than to use AI to write a legal brief: https://arstechnica.com/tech-policy/2025/04/mypillow-ceos-lawyers-used-ai-in-brief-citing-fictional-cases-judge-says/
21. AI driven writing suggestions run the risk of making us all sound the same: https://dataconomy.com/2025/05/01/is-ai-making-us-all-write-the-same/
22. Software quality assurance with AI: https://www.datasciencecentral.com/how-generative-ai-is-reshaping-traditional-qa-strategies/
23. How to help IT workers avoid burnout in the age of AI: https://www.computerworld.com/article/3854464/how-to-keep-tech-workers-engaged-in-the-age-of-ai.html
24. Workers are more keen on AI than consumers are, according to a survey: https://www.techrepublic.com/article/news-kpmg-ai-survey/

Weekly Review 2 May 2025

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

1. The hunger of AI for computing power means that high-end data centres will soon be ruinously expensive to build: https://techcrunch.com/2025/04/24/within-six-years-building-the-leading-ai-data-center-may-cost-200b/
2. Some free books on AI: https://www.kdnuggets.com/10-free-machine-learning-books-for-2025
3. Anthropic is jumping on the explainable AI band wagon: https://techcrunch.com/2025/04/24/anthropic-ceo-wants-to-open-the-black-box-of-ai-models-by-2027/
4. Organisations should make decisions based on data, but there are many things that can do wrong in the process: https://www.datasciencecentral.com/whats-wrong-with-data-based-decision-making/
5. Detecting drunk drivers with AI: https://spectrum.ieee.org/students-device-deters-drunk-driving
6. AI can now pass engineering exams. Teachers need to adapt to this, it's not going to go away so assessments need to change: https://www.theregister.com/2025/04/23/whats_worth_teaching_when_ai/
7. So the Academy doesn't care if AI is used to create movies now? https://www.theverge.com/news/653504/oscars-film-award-rule-change-ai When will the first AI generated film win an Oscar?
8. Meta will use AI to detect accounts that belong to kids, and use that information to change the account settings. I wonder what the false-positive rate is? https://www.theverge.com/news/651826/meta-instagram-age-detection-ai-settings
9. An overview of geometric deep learning, a way of extending AI into non-Euclidean data: https://www.datasciencecentral.com/geometric-deep-learning-ai-beyond-text-images/
10. AI can be a real villain to the environment, but it can also be a hero: https://www.techrepublic.com/article/news-ai-sustainability-earth-day-2025/
11. The problems with crowdsourced AI benchmarks: https://techcrunch.com/2025/04/22/crowdsourced-ai-benchmarks-have-serious-flaws-some-experts-say/
12. The problem with censorship is, it ends up using resources that could be used to make your AI better: https://techcrunch.com/2025/04/22/a-chinese-ai-video-startup-appears-to-be-blocking-politically-sensitive-images/
13. The benefits of Edge AI, that is, AI on-site rather than in the cloud: https://www.informationweek.com/machine-learning-ai/edge-ai-is-it-right-for-your-business-
14. Developments in licensing of training data for AI: https://www.theregister.com/2025/04/24/uk_publishing_body_launches_ai/
15. Some of the questions in the California Bar law exam were written by AI: https://arstechnica.com/tech-policy/2025/04/ai-secretly-helped-write-california-bar-exam-sparking-uproar/
16. AI is a good tool for working with data. Ecological and conservation data is just one more area where AI is useful, I was doing so 20 years ago: https://www.theverge.com/ai-artificial-intelligence/653322/ai-wildlife-conservation
17. A pain assessment tool that utilises AI: https://dataconomy.com/2025/04/24/ai-powered-pain-assessment-korean-researchers-develop-new-surgical-tool/
18. Another AI that can't really deliver what is promised about it: https://www.theverge.com/ai-artificial-intelligence/654223/cheat-on-everything-ai
19. AI is a tool, would you give a screwdriver worker's rights? https://www.bigdatawire.com/2025/04/24/does-ai-deserve-worker-rights/
20. Some simple projects to dip your toes into AI: https://www.informationweek.com/machine-learning-ai/low-cost-ai-projects-a-great-way-to-get-started
21. An actually open AI from OpenAI: https://techcrunch.com/2025/04/24/openai-wants-its-open-ai-model-to-call-models-in-the-cloud-for-help/
22. China is really going all-out on bringing AI into everyday life: https://www.theguardian.com/world/2025/apr/21/humanoid-workers-and-surveillance-buggies-embodied-ai-is-reshaping-daily-life-in-china
23. Using AI to detect the kind of errors in chips that crop up in data centres: https://spectrum.ieee.org/data-centers
24. How AI is changing SEO: https://dataconomy.com/2025/04/24/the-future-of-seo-how-googles-ai-updates-are-changing-the-game/

Soft Computing. Volume 29, Issue 5, March 2025

1) Channel boosted convolutional neural network with segnet based segmentation for an automatic prediction of thyroid cancer

Author(s): Leelavathi Arepalli, Venkata Rao Kasukiurthi, Madhavi Dabbiru

Pages: 2399 - 2415

2) Improving learning material repositories using student profiles

Author(s): Natalie Ferraz Silva Bravo, André Ferreira Martins...Jairo Francisco de Souza

Pages: 2417 - 2431

3) Multi-objective DOA estimation in automotive radar using a Sailfish optimizer with Latin hypercube sampling

Author(s): Geetha P, Satyasai Jagannath Nanda, Rajendra Prasad Yadav

Pages: 2433 - 2461

4) Correction to: Multi-objective DOA estimation in automotive radar using a Sailfish optimizer with Latin hypercube sampling

Author(s): Geetha P, Satyasai Jagannath Nanda, Rajendra Prasad Yadav

Pages: 2463 - 2463

5) Genetic algorithm based data controlling method using IoT enabled WSNs

Author(s): Samayveer Singh, Aridaman Singh Nandan...Pradeep Kumar Singh

Pages: 2465 - 2482

6) Photovoltaic power one-day and multistep-hourly AI predictions using node-by-node evolved binomial tree structures to form L-transformed PDE modules

Author(s): Ladislav Zjavka

Pages: 2483 - 2495

7) Monkeypox data enhancement and diagnosis using improved DCGAN

Author(s): Jinaga Tulasiram, Balaji Banothu, S. Nickolas

Pages: 2497 - 2513

8) Correction to: Deployment method of wireless sensor networks based on MaOEA/P-GM algorithm

Author(s): Jun Wang, Dongxu Luo...Zhiwu Li

Pages: 2515 - 2515

Weekly Review 25 April 2025

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

1. How AI can help with taxes and financial planning: https://www.bigdatawire.com/2025/04/18/the-transformative-role-of-ai-in-financial-planning-and-tax-preparation/
2. Actors who sold their likenesses for AI avatars are regretting doing so: https://arstechnica.com/ai/2025/04/regrets-actors-who-sold-ai-avatars-stuck-in-black-mirror-esque-dystopia/
3. AI is widely used in the New Zealand public sector, mostly because it helps them with their work: https://www.rnz.co.nz/news/political/558081/ai-widely-used-in-public-sector-survey-finds
4. One-bit neural network weights, to reduce the memory footprints of large AI: https://arstechnica.com/ai/2025/04/microsoft-researchers-create-super%e2%80%91efficient-ai-that-uses-up-to-96-less-energy/
5. The role of Chief AI Officer is expected to become more prominent in coming years: https://www.informationweek.com/machine-learning-ai/how-will-the-role-of-chief-ai-officer-evolve-in-2025-
6. How AI is affecting the creative professions: https://www.nzherald.co.nz/nz/how-ais-latest-advancements-could-reshape-creative-professions-the-front-page/NVIPGTLUR5GVFDBUN4FWJW23EE/
7. AI agent hallucinates new policy, upsets users to the point of cancelling subscriptions: https://arstechnica.com/ai/2025/04/cursor-ai-support-bot-invents-fake-policy-and-triggers-user-uproar/
8. AI models get more advanced, but they just hallucinate more: https://techcrunch.com/2025/04/18/openais-new-reasoning-ai-models-hallucinate-more/
9. Wikipedia got so hammered by AI training bots scraping the site, they have released a data set optimised for training AI to Kaggle: https://www.theverge.com/news/650467/wikipedia-kaggle-partnership-ai-dataset-machine-learning
10. Google is using AI to block scammers' ads: https://arstechnica.com/gadgets/2025/04/google-used-ai-to-block-three-times-more-fraudulent-advertisers-in-2024/
11. A New Zealand charity is using AI chatbots to help veterans: https://www.rnz.co.nz/news/national/558481/charity-launches-ai-chatbot-therapy-service-for-veterans
12. Organisations need to move strategically when rolling out AI, rather than rushing into it: https://www.informationweek.com/machine-learning-ai/the-ai-fomo-trap-build-guardrails-for-the-gold-rush
13. AI hardware is using so much power that its driving advances in cooling technology for data centres: https://www.techrepublic.com/article/news-data-centers-power-cooling-ai/
14. Google's AI is learning to speak dolphin: https://www.extremetech.com/science/new-google-llm-aims-to-translate-dolphin-language
15. Microsoft's Copilot AI is getting quite annoying: https://www.theregister.com/2025/04/18/microsoft_copilot_not_wanted/
16. A new approach to combat prompt injection attacks against generative AI: https://arstechnica.com/information-technology/2025/04/researchers-claim-breakthrough-in-fight-against-ais-frustrating-security-hole/
17. The key to employing AI effectively in marketing is to carefully train the model: https://dataconomy.com/2025/04/17/training-your-ai-not-just-your-team-a-marketers-guide-to-smarter-campaigns/
18. The idea of 'adjusting' - read reducing - AI guardrails because a competitor has done so is rather frightening: https://techcrunch.com/2025/04/15/openai-says-it-may-adjust-its-safety-requirements-if-a-rival-lab-releases-high-risk-ai/
19. Seeding AI with misinformation is being used more and more by bad actors: https://www.stuff.co.nz/world-news/360659194/russia-seeds-chatbots-lies-and-any-bad-actor-could-game-ai-same-way
20. While greater efficiencies in AI can allow more to be done for the same amount of energy, the demand is not necessarily there to do so: https://www.economist.com/finance-and-economics/2025/01/30/tech-tycoons-have-got-the-economics-of-ai-wrong
21. I wouldn't describe it as 'thinking with pictures' as AI don't really 'think': https://www.computerworld.com/article/3964968/open-ais-new-models-can-think-with-pictures.html
22. AI companies are fine with stealing other people's work, but hate it when someone does the same to them: https://www.theregister.com/2025/04/14/miyazaki_ai_and_intellectual_property/
23. Could the use of screenshots help AI learn what is important to users? https://www.theverge.com/ai-artificial-intelligence/650809/screenshots-apps-ai-pixel-nothing
24. A framework for constructing voice AI agents: https://www.kdnuggets.com/the-easiest-way-to-create-real-time-ai-voice-agents