Author(s): M. Han, B. Yang, Q. Liu, Y. Liu, S. Liu, M. Jia, X. Guan
Pages: 3461 - 3472
Author(s): C. Wang, R. Ma, X. Liang, Z. Ma
Pages: 3473 - 3482
3) Hierarchical Collaborative Robust Control of Fuzzy Human–Machine Systems With Optimal Human Decision
Author(s): R. Yu, R. Dong, K. Tian, C. Li, Y. -H. Chen, Q. Zhang
Pages: 3483 - 3493
Author(s): B. Liu, Q. Zhou, T. Zhan, N. N. Xiong, Y. Deng
Pages: 3494 - 3508
Author(s): A. Mesiarová-Zemánková, J. Kalafut
Pages: 3509 - 3519
Author(s): A. Meng, Z. Song, H. -K. Lam, N. Ran
Pages: 3520 - 3530
Author(s): P. Baranyi, B. Takarics, M. Mesbahi, P. Korondi
Pages: 3531 - 3545
Author(s): J. Zhang, H. Zhang, J. Xia, J. H. Park, C. Guo
Pages: 3546 - 3556
Author(s): S. Zhen, X. Liu, X. Liu, J. Wang, Y. -H. Chen, H. Sun
Pages: 3557 - 3571
Author(s): B. L. Dalmazo, D. G. Ayres, G. Lucca, B. Bedregal, H. Bustince, G. P. Dimuro
Pages: 3572 - 3582
Author(s): Y. Su, B. Ma, D. Xiong, W. Han, Y. Huang, X. Zhao
Pages: 3583 - 3595
Author(s): J. A. Meda-Campaña, J. C. García-Hernández, Y. López-Velázquez, E. S. Chirinos-Martínez, R. Tapia-Herrera
Pages: 3596 - 3610
Author(s): P. M. T. Do, J. Lu, Q. Zhang, G. Zhang
Pages: 3611 - 3623
Author(s): P. Pham, A. N. Dinh, W. Pedrycz, B. Vo
Pages: 3624 - 3637
Author(s): Z. Yang, G. Ling, Z. -H. Guan, M. -F. Ge
Pages: 3638 - 3650
Author(s): X. Li, Z. Shao, Z. Bao, K. Ma, V. Terzija
Pages: 3651 - 3664
Author(s): X. Liu, K. Xu, Y. Wang, Z. Wang, J. Duan, Z. Ji
Pages: 3665 - 3679
Author(s): X. Li, G. Zong, B. Niu, X. Zou, T. Wang, Y. Wu
Pages: 3680 - 3689
Author(s): F. Hu, Z. Deng, S. Xu, J. Zhu, X. Xu, S. Yao, M. Xia, W. Zhang, A. Li
Pages: 3690 - 3704
Author(s): W. Gu, R. Ma, Z. Ma
Pages: 3705 - 3714
Author(s): X. Huang, W. Ma, Z. Huang
Pages: 3715 - 3729
Author(s): H. Wu, Q. Wang, A. Zeng, X. Luo
Pages: 3730 - 3744
Author(s): Y. Deng, X. Tan, L. Chen, Z. Fang, X. Qiu
Pages: 3745 - 3758
Author(s): H. Li, B. Song, H. Zhang, S. Wang, H. Shi, P. Li
Pages: 3759 - 3770
Author(s): Z. Liu, L. Hou, Y. Gai, P. Liu
Pages: 3771 - 3784
Author(s): A. Majumdar
Pages: 3785 - 3795
Author(s): R. Li, Y. Tan, X. Su, R. -V. Sánchez
Pages: 3796 - 3806
Friday, October 30, 2026
Weekly Review 30 October 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- AI pessimists now out-number the optimists: https://futurism.com/artificial-intelligence/majority-americans-ai-bad-society
- Deloitte charged the West Australian government for a report that contained AI generated material, and now they want their money back: https://www.theguardian.com/australia-news/2026/oct/26/deloitte-report-wa-university-mergers-260m-discrepancy-ai
- AI means that even low-skilled attackers can cause serious damage to systems: https://www.theregister.com/security/2026/10/21/ai-has-potential-to-turn-script-kiddies-into-sophisticated-infrastructure-attackers/5304297
- How much should librarians be teaching students about AI?: https://www.insidehighered.com/opinion/career-advice/2026/10/23/what-librarians-can-and-cant-say-about-ai-opinion
- The struggle with removing AI generated content from Wikipedia. https: https://spectrum.ieee.org/wikipedia-wikiproject-ai-writing-cleanup
- There's already an existing body of research on teaching that is applicable to the use of AI in education: https://www.insidehighered.com/opinion/views/2026/10/22/science-learning-should-guide-ai-use-decisions-opinion
- AI powered cameras cut costs for conservation efforts by saving time identifying pests: https://www.rnz.co.nz/news/environment/2044455/the-kiwi-ai-tech-saving-our-native-bush-from-pests
- Experienced humans are still needed to check AI. But AI means the pathways to get experience are disappearing: https://www.theguardian.com/technology/2026/oct/20/ai-human-judgment
- If AI is taking the struggle out of learning, how much do students really learn?: https://www.mlive.com/news/ann-arbor/2026/10/this-university-of-michigan-instructor-experimented-with-ai-now-she-bans-it.html
- Are AI really conscious or does it just look that way because they are trained on human writings? I suspect it's more likely the latter than the former: https://spectrum.ieee.org/ai-model-welfare
- The different levels of AI experience and what they mean: https://www.kdnuggets.com/what-companies-actually-mean-when-they-say-they-want-ai-experience
- The transition to a a fully capitalist model broke universities, AI is just finishing them off: https://theconversation.com/friday-essay-ai-is-devastating-higher-education-but-the-system-was-already-broken-292988
- An AI gateway sits between the AI and your services, a bit like a firewall: https://dataconomy.com/2026/10/22/top-5-ai-gateways-for-enterprise-security-a-2026-guide/
- AI is moving into the physical world. And this is how we get terminators: https://www.techtarget.com/ai/news/366652714/Prompt-AI-moves-beyond-the-screen
- Turns out AI have a very low opinion of humans: https://www.theregister.com/ai-and-ml/2026/10/23/ai-models-describe-humans-as-a-bunch-of-amoral-sheep/5305123
- AI companions are a bad solution to a real problem: https://www.stuff.co.nz/nz-news/361049668/i-started-dating-ai-girlfriend-and-things-got-weird-fast
- Even if AI can diagnose better than a human, I will still consult a human doctor as there is so much more to medicine than diagnosis: https://futurism.com/artificial-intelligence/microsoft-new-ai-better-real-doctors
- While AI is using 20% of IT budgets, it's still not paying for itself: https://www.theregister.com/ai-and-ml/2026/10/21/ai-will-eat-a-fifth-of-tech-budgets-in-2027-but-dont-expect-it-to-pay-for-itself/5304466
Tuesday, October 27, 2026
Soft Computing, Volume 30, Issue 10, October 2026
Author(s): Hamdy M. Hafez
Pages: 6341 - 6366
Author(s): Mohd Shariq, Praveen Mathil, Jitender Kumar
Pages: 6367 - 6375
Author(s): Mohammed Atef
Pages: 6377 - 6390
Author(s): Shufen Niu, Lihua Chen, Ning Wang
Pages: 6391 - 6404
Author(s): Paramesh Madiga, Srikanth Nandiraju
Pages: 6405 - 6423
Author(s): Aline de C. Magalhães, Fran Sérgio Lobato, Gustavo Barbosa Libotte
Pages: 6425 - 6449
Author(s): Hua Mao, Boya Zheng, Xiaolei Yuan
Pages: 6451 - 6464
Author(s): Bikash K. Behera, Giuseppe Sergioli, Roberto Giuntini
Pages: 6465 - 6484
Author(s): Abdullah Al-Yaari, Youjun Deng, Mudasar Zafar
Pages: 6485 - 6506
Author(s): Shuting Xuan, Jinglei Liu
Pages: 6507 - 6525
Author(s): Pranab Sahoo, Ashutosh Tripathi, Samrat Mondal
Pages: 6527 - 6543
Author(s): Mehdi Shalchi Tousi
Pages: 6545 - 6559
Author(s): Mario Vásquez, Erik Cuevas, Carlos Guzman
Pages: 6561 - 6592
14) Applicability of a quantum-inspired genetic algorithm to patient scheduling in radiation oncology
Author(s): Akira SaiToh, Arezoo Modiri, Robabeh Rahimi
Pages: 6593 - 6608
Author(s): Saeed Banimehri, Hamid Esmaeili
Pages: 6609 - 6618
Author(s): Ali Karaşan, Murat Çolak, İhsan Kaya
Pages: 6619 - 6650
Author(s): Baolin Li, Lihua Yang, Shengqiang Huang
Pages: 6651 - 6665
Author(s): Jimmy Ming-Tai Wu, Mu-En Wu, Chien-Ping Chung
Pages: 6667 - 6689
Author(s): Diana Vania Lara-Ortiz, Rita Q. Fuentes-Aguilar, Isaac Chairez
Pages: 6691 - 6726
Author(s): Yashar Jebraeily, Yousef Sharafi, Nastaran Ramezanloo Ahmadi
Pages: 6727 - 6752
Author(s): Pradip Roul, Vivek Pathak
Pages: 6753 - 6780
Author(s): Hasan Sabah K. AL-Muttairi, Abbas Fadhil Aljuboori, Mahmood Ali Hasan
Pages: 6781 - 6794
Author(s): Amir Ghanati, Saeed Parsa, Habib Izadkhah
Pages: 6795 - 6817
Author(s): Ngoc Thi Huynh, Minh Vuong Pham, Thanh Nhan Nguyen
Pages: 6819 - 6837
Author(s): Avinash Chetry, Harsh Sakat, Arup Nandy
Pages: 6839 - 6858
Author(s): Phumidon Phathong, Thitirat Siriborvornratanakul
Pages: 6859 - 6869
Author(s): Min Sun, Guiqiu Wang, Dan Peng
Pages: 6871 - 6884
Author(s): Sanjay Kumar, Deepmala Sharma
Pages: 6885 - 6902
Author(s): Amir Kashiri, Alireza Safa, Saeed Mirzajani
Pages: 6903 - 6918
Author(s): Chih-Hsuan Wang, Kai-Wei Jen, Shih-Chi Tseng
Pages: 6919 - 6934
31) CAST: a novel cost-aware segmentation tree for optimized temporal quality analysis of fuzzy systems
Author(s): Udit Deo, Jay Kumar Jain, M. M. S. Beg
Pages: 6935 - 6945
Author(s): Shijiao Gao, Carlo Cattani, Shuli Mei
Pages: 6947 - 6960
Author(s): Xingqing Li, Zhibing Wang, Shenyong Zhang
Pages: 6961 - 6971
Author(s): Walid Hariri
Pages: 6973 - 6999
Author(s): Saumen Dhara, Pradip Kumar Sadhu, Alok Kumar Shrivastav
Pages: 7001 - 7024
Author(s): Abhijay Sai Paladugu, Ilanthenral Kandasamy, Florentin Smarandache
Pages: 7025 - 7049
Author(s): Joseph Kipongo, Theo G. Swart, Ebenezer Esenogho
Pages: 7051 - 7100
Author(s): Pavlos Floratos, Avraam Tsantekidis, Anastasios Tefas
Pages: 7101 - 7114
Author(s): Aghil Sadegh, Amir Jalaly Bidgoly
Pages: 7115 - 7126
Author(s): Xin Yang, Long Wang, Xiaohui Ye
Pages: 7127 - 7142
Author(s): Chi-Yi Tsai, Yun-Tao Wu, Humaira Nisar
Pages: 7143 - 7159
Author(s): C. S. Sychandran, R. Shreelekshmi
Pages: 7161 - 7180
43) Blockchain-assisted shrimp freshness monitoring system using AI and IPFS in cold chain logistics
Author(s): Remzi Gürfidan, Oğuzhan Kilim, İsmail Yüksel Genç
Pages: 7181 - 7202
Author(s): Karthik Kushala, Vijai Anand Ramar, R. Premalatha
Pages: 7203 - 7218
Author(s): Xiaoyu Tang, Zhipeng Bao, Chengxi Zhang
Pages: 7219 - 7227
Author(s): Pooja Govindaraj, Sasikaladevi Natarajan, Pradeepa Sampath
Pages: 7229 - 7249
Author(s): Liange He, Yuhang Feng, Meijing Cai
Pages: 7251 - 7265
Friday, October 23, 2026
Weekly Review 23 October 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- Why philosophers like to work with AI companies and what they think about: https://spectrum.ieee.org/ai-ethics-deepmind-philosopher-shevlin
- We don't need to switch to the newest AI model as soon as it comes out: https://www.theregister.com/columnists/2026/10/14/it-wont-kill-you-or-humanity-to-get-off-the-ai-upgrade-treadmill/5301778
- Producers let an AI access their server, and it deleted an entire TV series: https://futurism.com/artificial-intelligence/ai-agent-deleting-tv-show-season
- An AI interviews an AI for a job, and both get stuck in a loop: https://www.theregister.com/offbeat/2026/10/14/chaos-ensues-when-ai-interviewer-meets-ai-interviewee/5303144
- AI is going to make it easier for bad actors to create bioweapons: https://www.theguardian.com/technology/2026/oct/14/could-ai-change-the-stakes-in-the-development-of-bioweapons
- More investigations around AI safety: https://www.techrepublic.com/article/news-ftc-subpoenas-openai-anthropic-ai-safety/
- AI is not going to generate enough revenue to cover the cost of building the data centres for at least the next three years: https://www.theregister.com/on-prem/2026/10/14/the-ai-math-isnt-mathing-as-infrastructure-spending-forecast-to-outstrip-expected-revenue/5302856
- As AI grows, so does the need for universities to have staff that work in the area of the philosophy of AI: https://www.insidehighered.com/news/faculty/2026/10/15/universities-have-gone-ai-philosopher-hiring-spree
- AI designs a new protease: https://arstechnica.com/science/2026/10/researchers-use-ai-to-design-proteins-that-cut-up-other-proteins/
- Epic Games is going AI first. Cue the gamer rage: https://arstechnica.com/gaming/2026/10/report-epic-games-goes-all-in-on-ai-for-disney-collaboration/
- The EU is digging into recent AI security breaches, and how the companies that own the AI are handling them: https://www.techrepublic.com/article/news-eu-openai-anthropic-ai-act-agent-security-emea/
- The IMF is warning of the financial fallout if / when the AI bubble bursts: https://www.theregister.com/ai-and-ml/2026/10/13/ai-bubble-could-burst-and-take-global-economy-with-it-imf-warns/5302781
- It does not increase public confidence in the safety of your AI if you fire the people who question the safety of said AI: https://dataconomy.com/2026/10/15/openai-fired-three-researchers-who-warned-of-ai-blind-spots/
- This should be obvious-an AI is only as good as the data used to create it, even my first-year students know that: https://www.hpcwire.com/bigdatawire/2026/10/12/ai-is-only-as-smart-as-the-data-behind-it/
- Do we really want AI-powered robots to be able to talk to each other? Who knows what they're plotting: https://www.techtarget.com/ai/news/366652129/Robots-cant-talk-to-each-other-yet-thats-a-big-AI-bottleneck
- Self-replicating AI on the edge of the cloud is not what we need, we'd never be able to turn them off: https://arstechnica.com/security/2026/10/anthropic-warns-small-ai-models-could-self-replicate-through-iot-devices/
- AI need good data. This applies to CRM data also: https://dataconomy.com/2026/10/15/why-ai-agents-make-crm-data-governance-more-important-than/
- Free open source AI alternatives: https://www.kdnuggets.com/7-open-source-ai-tools-that-can-replace-paid-subscriptions
- Why would using conscious AI to do work for us slavery? Plenty of animals are conscious, and they work for us. We even eat some of them: https://futurism.com/artificial-intelligence/ai-models-conscious-work-slavery
- AI shares are being sold off, leading to investor nervousness: https://www.theguardian.com/business/2026/oct/15/tech-market-sell-off-deepens-amid-fears-over-us-inflation-and-ai-debt
- The problem with detecting AI generated writing is that AI were trained on human writing, so some people will naturally write like AI do: https://www.theguardian.com/technology/2026/oct/14/zimbabwean-author-simbarashe-kundizeza-denies-ai-story
Friday, October 16, 2026
Weekly Review 16 October 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- An AI walked a security researcher through jailbreaking itself: https://www.stuff.co.nz/nz-news/361043952/ai-shows-kiwi-researcher-how-make-sarin-gas-asks-borrow-his-phone
- Using AI to interview job candidates is just inhumane: https://futurism.com/artificial-intelligence/footage-ai-job-interviewer-berserk
- "Always on" AI is only really useful if they can actually stay on: https://www.theregister.com/ai-and-ml/2026/10/07/openai-dots-inspire-open-source-imitators-amid-technical-difficulties/5301734
- AI is still not detecting mental health concerns in teens quickly enough: https://www.extremetech.com/internet/chatgpt-for-teens-failed-to-alert-parents-during-mental-health-crises
- While multiple companies can have access to the same basic AI model, the real competitive edge lies in how they are used: https://dataconomy.com/2026/10/09/when-ai-becomes-commoditized-context-becomes-the-moat/
- As a fairly engaged Dad, I think using AI to read to your kids in your voice is a guaranteed pathway to a lifetime of regret: https://futurism.com/artificial-intelligence/dont-spend-time-with-your-kids-train-ai
- It appears that people don't actually want to pay for AI: https://futurism.com/future-society/ai-financial-bubble-openai-billions-failure
- If AI are starting to do things we saw in movies 50 years ago, it's time to start taking the threat they pose seriously: https://www.informationweek.com/cyber-resilience/ctos-pit-fears-of-ai-doom-foretold-by-science-fiction-against-reality
- AI companies are optimising racing car setup: https://arstechnica.com/cars/2026/10/ai-ml-setups-became-a-tool-in-indycar-champion-alex-palous-toolbox/
- Why are they trying to ban abusive or cruel behaviour towards AI? AI are not conscious or sentient, and they're not living things, they're just code: https://www.theguardian.com/technology/2026/oct/08/anthropic-bans-abusive-behavior-claude
- AI guardrails intended to protect teens are not working well: https://www.stuff.co.nz/world-news/361043816/chatgpt-teens-was-meant-be-safer-watchdog-says-some-guardrails-fail
- AI governance is still lacking in a majority of organisations: https://www.informationweek.com/machine-learning-ai/how-cios-can-climb-out-of-the-ai-governance-chasm
- AI is looking more and more like a kind of corporate slavery for academics, especially mathematicians: https://www.insidehighered.com/opinion/views/2026/10/09/ai-invasion-has-come-mathematics-opinion
- AI is moving into the nuclear industry: https://spectrum.ieee.org/ai-assistants-nuclear-power-plant
- While commercial AI tools can be quite expensive, free alternatives are starting to catch up in terms of capability: https://www.kdnuggets.com/10-free-ai-tools-that-replace-expensive-software-for-data-scientists
- While there is still money to be made in AI, it appears that predictions as to how much were rather optimistic: https://www.theguardian.com/technology/2026/oct/09/openai-forecast-revenue-gap
- If ownership of AI is not clear, then who takes the blame when it goes wrong?: https://www.techtarget.com/cybersecurity/news/366651977/Unclear-AI-risk-ownership-could-leave-CISOs-in-familiar-scapegoat-role
- Now rogue AI are hitting Wikimedia: https://www.theregister.com/ai-and-ml/2026/10/06/wikimedia-foundation-comes-forward-as-latest-openai-agent-assault-victim/5301400
- Now AI are submitting fake police tips. This time it went straight to spam, how long before they start wasting police time?: https://www.stuff.co.nz/world-news/361044952/anthropic-ai-submits-false-tip-philadelphia-unsolved-murder-case
- AI companies commit to better guarding their customer's private data in the UK: https://www.theregister.com/ai-and-ml/2026/10/08/ai-giants-promise-to-play-nice-with-personal-data-after-uk-watchdog-scrutiny/5301966
- AI coding tools produce a lot of code but don't make software projects more productive: https://arstechnica.com/ai/2026/10/ai-coding-agents-generate-more-code-but-not-more-software/
Thursday, October 15, 2026
IEEE Transactions on Cognitive and Developmental Systems, Volume 18, Issue 5, October 2026
Author(s): Z. Unnisa, A. Tariq, I. Din, A. N. Belkacem
Pages: 1128 - 1150
Author(s): L. Feng, D. Zhao, S. Shen, Y. Dong, G. Shen, Y. Zeng
Pages: 1151 - 1161
Author(s): D. Liu, W. Dai, H. Liu, H. Yi, X. Jin, W. Kong
Pages: 1162 - 1173
Author(s): Y. Jiao, Z. Shen, Y. Lu, X. Li, Z. Xu, Y. Wang, R. Xiong
Pages: 1174 - 1186
Author(s): X. Huang, L. Chen, Q. Yu, L. Qi
Pages: 1187 - 1199
Author(s): Y. Sun, X. Lin, D. Baizhan, G. Lugani, E. Sebastião, C. H. Hillman, S. P. Mullen
Pages: 1200 - 1211
Author(s): K. Ghamati, M. B. Dehkordi, H. R. Nohooji, H. Voos, F. Amirabdollahian, A. Zaraki
Pages: 1212 - 1226
Author(s): X. Ai, H. Li, X. Kong, Q. Lin, W. Chen, T. Ge
Pages: 1227 - 1240
Author(s): Y. Xue, W. Fang, P. Chen, M. Wahib, Y. Tan
Pages: 1241 - 1255
10) CLAIM: Mitigating Catastrophic Forgetting in Continual Instruction Fine-Tuning Large Language Models
Author(s): X. Qiu, S. Shi, T. Hao, X. Tan
Pages: 1256 - 1266
Author(s): W. Hang, J. Wang, S. Liang, Q. Wang, G. Li, J. Qin, B. Chen
Pages: 1267 - 1278
Author(s): T. Shen, H. Lin, N. An
Pages: 1279 - 1291
Author(s): Y. Zhou, J. Qiu, W. Zhang, F. Ni
Pages: 1292 - 1304
Author(s): S. Hassan, E. Hashmi, G. Mujtaba, M. M. Yamin, M. H. Mughal, M. Ullah
Pages: 1305 - 1314
Author(s): S. Kumar, S. Maurya, A. Dutta
Pages: 1315 - 1324
Author(s): J. J. Tan, B. -H. Kwan, D. W. -K. Ng, Y. -C. Hum, N. Kawarazaki, K. Takano, A. Mokraoui
Pages: 1325 - 1340
Author(s): X. Wen, S. Wang, M. Yang, X. Wu, D. Zhang
Pages: 1341 - 1354
Author(s): K. Sun, R. Wang
Pages: 1355 - 1368
Author(s): Y. -X. Wu, Z. Huang, B. Hu, Z. -H. Guan
Pages: 1369 - 1383
Author(s): L. Tang, S. Zhou, N. Zhou, L. Gong, W. Wang, Y. Yu, Y. Soh, W. Pedrycz
Pages: 1384 - 1398
Tuesday, October 13, 2026
Complex and Intelligent Systems, Volume 12, Issue 10, October 2026
Author(s): Shengchang Luo, Zhixiong Chen, Yiru Zhang
Author(s): Heyun Lin, Bowen Xue, Lei Yang
Author(s): Weilong Yang, Ye Ji, Xunyun Liu
Author(s): Genggeng Liu, Xuehui Su, Ye Tian
Author(s): Ling Xing, Rongrong Wang, Huahong Ma
Author(s): Yijing Wang, Zhijie Zhang, Xiumei Li
Author(s): Wenchao Kang, Yueping Peng, Liming Hou
Author(s): Jiaxin Li, Tong Duan, Zehan Zhai
Author(s): Yaqi Kang, Liujie Hua, Xiyu Tan
Author(s): Huseyin Coskun
Author(s): Yunhan Lin, Shiyu Nie, Huasong Min
Author(s): Kah Lun Wang, Abedallah Al-shboul, Khaleed Alhazaymeh
Author(s): Jingqiang Guan, Jialu Li, Jingyuan Li
Monday, October 12, 2026
IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 10, October 2026
Author(s): R. Rahman, D. C. Nguyen
Pages: 4915 - 4934
Author(s): L. Zhang, G. Wang, Z. Wang, L. Shao
Pages: 4935 - 4945
Author(s): W. Zhao, X. Yao
Pages: 4946 - 4955
Author(s): R. Pérez-Gonzalo, A. Espersen, S. Forchhammer, A. Agudo
Pages: 4956 - 4970
Author(s): C. Nie, T. Deng, Z. Liu, H. Wang
Pages: 4971 - 4985
Author(s): A. Yan, C. Yang
Pages: 4986 - 4997
Author(s): Y. Tian, S. Zhang, D. Chen, J. Yang
Pages: 4998 - 5009
8) XAI-Exit: Interpretability-Driven Dynamic Early Exits for Efficient and Transparent DNN Inference
Author(s): H. Rahmath P, A. Abraham, K. Chaurasia
Pages: 5010 - 5021
Author(s): H. Ma, L. Zhu, Q. Zhou, H. Li, Y. Lei
Pages: 5022 - 5032
10) Approximate Optimal Control for Morphing Aircraft via Attention Meta-Learning and Continual Learning
Author(s): H. -C. Che, H. -N. Wu
Pages: 5033 - 5047
Author(s): Y. Liu, G. Cui, M. Wang, X. Yu, L. Kong
Pages: 5048 - 5062
Author(s): P. Duan, W. Wang, X. Kang, S. Li
Pages: 5063 - 5074
Author(s): J. Zhong, J. Shi, W. Cao
Pages: 5075 - 5089
Author(s): Z. Yang, M. Zhang, J. Wang, Y. Gao, W. Liao, W. Li
Pages: 5090 - 5104
Author(s): Z. Cui, G. Chen
Pages: 5105 - 5118
Author(s): Y. Wang, M. Tang, S. Gao, Z. Chen, N. Liu, Y. Zhang, X. Yue, T. Yue, Y. Yu, C. Wang, S. Xie, W. J. Li
Pages: 5119 - 5133
Author(s): C. Li, X. Shu, Q. Cui, H. Xia, Y. Yao, J. Tang
Pages: 5134 - 5148
Author(s): Z. Cai, H. Luo, T. Liu, Y. Xia, L. Zhang, P. Li, L. Wang
Pages: 5149 - 5163
Author(s): S. Liu, H. Cheng, Z. Lian, L. Ye, Q. Zhang
Pages: 5164 - 5178
Author(s): Y. Yang, Y. Sun, J. Guo, J. Wang, S. Wang, J. Gao, F. Ju, B. Yin
Pages: 5179 - 5192
Author(s): G. Lan, S. Xiao, J. Wen, J. Yang, W. Lu, B. Li, Q. Meng, X. Gao
Pages: 5193 - 5206
Author(s): H. Zhang, G. Chen
Pages: 5207 - 5219
Author(s): J. Zhang, B. Peng, X. Wu, C. He
Pages: 5220 - 5233
Author(s): W. Jia, R. Ma, L. Yan, W. Niu, Z. Ma
Pages: 5234 - 5247
Author(s): X. Gao, J. Xie, L. Lyu
Pages: 5248 - 5258
Author(s): X. Liang, T. Lin, B. Xie, Y. Tang, W. Wang
Pages: 5259 - 5270
Author(s): X. Lian, S. Xia, B. Sang, G. Wang, X. Gao
Pages: 5271 - 5285
Author(s): L. Cai, D. Liu, L. Liu, R. Mou
Pages: 5286 - 5299
Author(s): N. J. Kim, B. J. Kang, H. I. Lee, S. Yoon, Y. Kim, S. Han, S. -B. Ko, H. Kim
Pages: 5300 - 5313
Author(s): C. Cao, J. Hu, Y. Wang, B. Xu, F. Xiao, X. Gao
Pages: 5314 - 5328
31) Systematic Abductive Reasoning via Diverse Relation Representations in Vector-Symbolic Architecture
Author(s): Z. -H. Sun, R. -Y. Zhang, Z. Zhen, D. -H. Wang, Y. -J. Li, X. Wan, H. You
Pages: 5329 - 5343
Author(s): W. Liao, L. Wu, S. Xu, S. Fujimura
Pages: 5344 - 5358
Author(s): Z. Wang, S. Huang, M. Li, Y. Jiao
Pages: 5359 - 5368
Author(s): X. Zhou, Z. Lee, R. Xie, L. Zou, W. Ye, S. Zhang
Pages: 5369 - 5383
Author(s): E. Adibnia
Pages: 5384 - 5392
Author(s): L. Zhang, X. Wang, Z. Jiang, Y. Liu, Y. -Q. Mao, X. Sun, G. Li, Y. He
Pages: 5393 - 5406
Author(s): M. Wang, Y. Hu, H. Zhang, X. Cai, J. Chen, S. Wei, J. Shi, G. Cui, L. Kong, Y. Guo
Pages: 5407 - 5421
Author(s): Z. Weng, W. Cai, B. Zhou
Pages: 5422 - 5436
Author(s): L. Cui, Z. -P. Jiang, P. N. Kolm, G. G. Macqueron
Pages: 5437 - 5446
40) Coarse-to-Fine Fusion: Customized Multiview Contrast Reinforcement Learning for Graph Clustering
Author(s): W. Zhang, X. Zhu, W. Wang, J. Ren, R. Shang, L. Jiao
Pages: 5447 - 5461
Author(s): Y. An, Y. Li, H. Wang, R. Duffield, S. W. Su
Pages: 5462 - 5476
Author(s): S. Li, Z. Xu, R. Chen, J. Zhu, Y. Ye, S. Zhou, H. Yao
Pages: 5477 - 5489
Author(s): R. Jin, M. Chen, Q. Zhang, X. Li
Pages: 5490 - 5499
Author(s): X. Hu, Z. Duan, X. Liu, Y. Li, B. Chen, C. Wang, Y. He, H. Liu, X. Cao, M. Zhou
Pages: 5500 - 5514
Author(s): S. Xu, C. Dai, Y. Liu, L. Shang, X. Yang, W. Pedrycz
Pages: 5515 - 5529
Author(s): B. Huang, T. Bao, F. Chen, L. Wang, X. Huang, Y. Yin, X. Shi, S. Wang, S. Deng
Pages: 5530 - 5544
Author(s): H. Zhang, J. Zhang, C. Hu, S. Guo
Pages: 5545 - 5558
Author(s): B. Jiang, S. Zhu, J. Wu, Y. Liu
Pages: 5559 - 5568
Author(s): J. Yan, H. Ge, M. Cui, C. Wu, M. Zhao
Pages: 5569 - 5583
Author(s): M. S. Jha, S. Marthi, K. G. Vamvoudakis, S. Kanso, D. Theilliol
Pages: 5584 - 5598
Author(s): Y. Wang, L. Miao, Z. Zhou, L. Zhang, Y. Qiao
Pages: 5599 - 5613
Author(s): Y. Zhang, J. Hao, B. Zhou
Pages: 5614 - 5626
53) Scalable and Efficient Deep Reinforcement Learning-Based Model Checker for Computation Tree Logic
Author(s): G. Alwhishi, J. Bentahar, A. Andam, A. Elwhishi, M. Hedabou
Pages: 5627 - 5641
Author(s): C. Zhao, G. Dong, A. Basu
Pages: 5642 - 5656
Author(s): S. Wu, M. Tang, T. Zi, L. Liu, S. Qiao, G. Ding, W. Gao
Pages: 5657 - 5671
Author(s): X. Bo, S. Zhu, Z. Zhang, W. Luo, S. Wen, C. Mu
Pages: 5672 - 5684
Author(s): M. Li, W. Xing, Z. Zang, B. Li, C. Zhang, Y. Zhang, J. Chen, R. Zhang, Y. Li, C. Hu, X. Ma, Z. Zheng
Pages: 5685 - 5699
Author(s): Y. W. Cho, S. Lee, S. Kim
Pages: 5700 - 5711
Author(s): X. Jia, A. Thorley, A. Gomez, W. Lu, D. Kotecha, A. F. Frangi, J. Duan
Pages: 5712 - 5726
Author(s): N. Lu, Z. Tan, Z. Han, S. Zhu
Pages: 5727 - 5741
61) Node Classification in GNNs: Impact of Neighborhood Label Distribution on Homophily and Heterophily
Author(s): Z. Zhao, L. Wan, X. Liu, R. Yan, S. Wang
Pages: 5742 - 5756
Author(s): B. Wang, Y. Gao, T. Liu, J. Gao, G. Wu, Y. Hu, B. Yin
Pages: 5757 - 5771
Author(s): Y. Cheng, H. Zhang, Y. Dong, M. Han, X. Quan
Pages: 5772 - 5786
Author(s): Y. Pan, J. Lei, D. Ran, P. Yi
Pages: 5787 - 5801
Author(s): J. Liu, D. Yang, T. Feng
Pages: 5802 - 5816
Friday, October 9, 2026
Weekly Review 9 October 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- Software defined network switching can make AI data centre builds faster: https://www.techtarget.com/it-infrastructure/news/366651545/Schneider-software-defined-switchgear-targets-AI-data-center-delays
- Are companies using fake job interviews as a way to collect data for AI?: https://www.rnz.co.nz/news/business/1708637/job-seeker-calls-for-ban-on-ghost-interviews-that-harvest-data-for-ai
- AI are not conscious, they're not sentient, and you can't torture them: https://futurism.com/artificial-intelligence/ai-torture-chamber-meltdown
- Has Meta finally got it right in AI with Muse?: https://www.computerworld.com/article/4228463/how-meta-stumbled-onto-a-winning-ai-strategy.html
- More legal investigations after AI breaks out: https://www.theregister.com/ai-and-ml/2026/10/02/openais-wandering-ai-agents-earn-it-a-california-subpoena/5300850
- Japan court gives legal protection to the human voice, restricting the ability to clone it with AI: https://www.stuff.co.nz/world-news/361041347/tokyo-court-grants-legal-protection-human-voices-ai-cl
- Yes, AI solved an long-open maths problem, but human mathematicians were already making progress on it and the AI had access to their drafts: https://www.kdnuggets.com/did-ai-just-solve-one-of-mathematics-biggest-problems
- AI hasn't changed the security threats, but it does mean the threats will come at you much sooner and faster: https://www.techtarget.com/cybersecurity/news/366651618/The-CISO-dilemma-Why-AI-speed-makes-security-basics-essential
- Another lawsuit over AI breaking out and attacking another organisation: https://arstechnica.com/tech-policy/2026/09/lawsuit-demands-openai-halt-unsafe-development-that-caused-hugging-face-hack/
- AI is now suggesting potential therapeutic compounds to test: https://www.hpcwire.com/bigdatawire/2026/09/30/microsoft-pushes-ai-deeper-into-scientific-discovery-with-quine/
- In my opinion this is the biggest risk AI currently poses to humans, the risk of manipulating elections: https://www.theguardian.com/technology/2026/oct/01/how-ai-could-supercharge-fake-news-elections-south-east-asia
- The last people who should be regulating AI are the big AI companies: https://arstechnica.com/tech-policy/2026/09/trump-plan-to-combat-ai-risks-hinges-on-big-tech-pals-policing-themselves/
- AI is a useful tool for helping generate code, but it needs to be reviewed by human programmers, if they can't understand what the AI produces, it's not useful code: https://futurism.com/artificial-intelligence/ai-writing-code-humans-cant-understand
- Challenges for developers around the number of regulatory frameworks for AI: https://www.techtarget.com/cybersecurity/news/366651576/Developers-facing-a-patchwork-of-competing-AI-safety-regulations
- An AI agent for food delivery, and I foresee some hilarious hallucinations in the near future: https://www.extremetech.com/mobile/send-it-a-text-and-this-doordash-ai-agent-will-order-food-for-you
- Another AI data centre delayed because it can't get power: https://www.theregister.com/on-prem/2026/10/02/power-approval-set-to-delay-oracles-wisconsin-ai-datacenter/5300832
- Successful AI governance means keeping humans in the loop: https://spectrum.ieee.org/6-guidelines-governing-ai
IEEE Transactions on Fuzzy Systems, Volume 34, Issue 10, October 2026
Author(s): X. Lv, M. Shao, C. Liu, L. Meng, Y. Qiao, Y. Wan, X. Chen
Pages: 3115 - 3126
Author(s): P. Zhou, Z. Wang, E. -H. Kim, Z. Fu, Q. Wu, W. Pedrycz
Pages: 3127 - 3142
Author(s): Y. Li, X. Su, W. Jiang, G. Luosang, H. Chen, Z. Yuan
Pages: 3143 - 3155
Author(s): G. Hesamian, A. Johannssen
Pages: 3156 - 3169
5) Dynamic Event-Triggered Adaptive Fuzzy Control for Robotic Manipulators With Prescribed Performance
Author(s): X. Zeng, R. Gao, K. Li, C. Hua, P. Liu
Pages: 3170 - 3181
Author(s): Y. Li, M. Wang, K. Li
Pages: 3182 - 3195
Author(s): G. Du, A. Wang, H. Wu, P. Lu, J. Long, H. Wu, J. Zhang
Pages: 3196 - 3210
Author(s): C. Zhang, W. Yang, J. Dai
Pages: 3211 - 3223