Author(s): W. Chen, K. Xu, Q. Song, Y. Sun, X. Liu, X. Li, Y. Dou, H. Wang
Pages: 5819 - 5839
Author(s): W. Liu, X. Li
Pages: 5840 - 5848
Author(s): P. Bai, X. Liu, W. Fan, T. Jiang, W. K. Cheung, H. Lu
Pages: 5849 - 5863
Author(s): Y. Si, Z. Li, K. Zhao, H. Huang, D. Fu
Pages: 5864 - 5876
Author(s): D. Huo, H. Zhang, Y. Hao, Y. Ye, J. Lian, H. Liu, R. Wang, L. Hu, M. Chen
Pages: 5877 - 5888
Author(s): W. -T. Li, S. -X. Wen, X. -F. Wang, W. -Z. Meng, X. -M. Sun
Pages: 5889 - 5899
Author(s): W. Gan, K. Guo, L. Qiao
Pages: 5900 - 5914
Author(s): R. Aliakbarisani, R. Jankowski, M. Á. Serrano, M. Boguñá
Pages: 5915 - 5928
Author(s): J. Li, R. Xiao, L. Yu, K. Zhang, J. Ning
Pages: 5929 - 5943
Author(s): T. Liu, X. Xu, X. Xie, Y. Lan, T. Tang, Z. Ding
Pages: 5944 - 5958
Author(s): Y. Deng, X. Zhong, W. Liu, Z. Yu, J. Yuan, T. Huang
Pages: 5959 - 5972
Author(s): J. Chu, T. Su, P. Liu, Y. Wu, L. Zhang, Z. Shi, M. Wang
Pages: 5973 - 5987
Author(s): X. Zheng, Z. Sun, X. Yang, H. Yan
Pages: 5988 - 5998
Author(s): J. Dong, L. Li, L. Huang, L. Pan, F. Cheng, W. Ding, X. Zhuang
Pages: 5999 - 6013
15) Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-View Geo-Localization
Author(s): Z. Chen, Z. -X. Yang, H. -J. Rong, G. Li
Pages: 6014 - 6028
Author(s): Y. Zhang, X. Sheng, M. Liu, R. Zhao, X. Shang
Pages: 6029 - 6043
Author(s): R. Liu, R. Yin, X. Zhou, X. Hao, J. Li, J. Zhong, C. Ma, W. Wang
Pages: 6044 - 6054
Author(s): Y. Xiao, T. Lv, D. Zhao, W. Zhao, T. Li, R. Wang, G. Wang
Pages: 6055 - 6069
Author(s): G. Jiang, S. Hong, M. Imani, N. D. Bastian, T. Lan
Pages: 6070 - 6084
Author(s): R. Ibadulla, T. M. Chen, C. C. Reyes-Aldasoro
Pages: 6085 - 6099
Author(s): Y. Zhou, S. Tan, W. Li, Y. Qin
Pages: 6100 - 6113
Author(s): S. Gui, Z. Cao, W. Song, Y. -S. Ong
Pages: 6114 - 6128
23) An Accelerated Augmented Gradient Neural Network for Constrained Time-Varying Nonlinear Optimization
Author(s): J. Wang, H. Huang, K. Deng, Z. Zeng
Pages: 6129 - 6139
Author(s): J. Wu, J. Pang, Q. Huang
Pages: 6140 - 6150
Author(s): K. Hu, T. Liu
Pages: 6151 - 6165
Author(s): H. Jia, J. Chen, Q. Mao, Q. Wang, Q. Lu, G. Long, D. Wu
Pages: 6166 - 6180
Author(s): K. -D. Lu, B. -X. Zhang, Y. Xu, Y. Shen, Z. -G. Wu
Pages: 6181 - 6193
Author(s): Z. Hu, C. Wang
Pages: 6194 - 6206
Author(s): X. Mou, R. Wang, B. Li, T. Wo, J. Sun, H. Wang, X. Liu
Pages: 6207 - 6221
Author(s): J. Yu, M. Ding, W. Sun
Pages: 6222 - 6235
Author(s): L. Deng, M. Xiao
Pages: 6236 - 6249
Author(s): R. Ke
Pages: 6250 - 6262
Author(s): J. Peng, H. Dong, X. Wang, D. Lin, H. Chen, R. Liu, Q. Chen, Y. Wu, H. Lu, Q. Guo, Y. Wang, L. Liang, W. Xie, M. Wang, P. Li
Pages: 6263 - 6277
34) WiCount-DASL: Domain-Adversarial Semisupervised Learning for Wi-Fi-Based Stationary Crowd Counting
Author(s): H. Wang, I. W. -H. Ho
Pages: 6278 - 6290
Author(s): K. Wu, B. Peng, D. Zhai
Pages: 6291 - 6301
Author(s): D. Huang, S. -Y. Liu, H. Wang
Pages: 6302 - 6313
Author(s): Z. Wu, B. Pang, X. Li, Y. Zhu, D. Su, B. Fan, R. -H. Li, G. Wang, C. Zhou
Pages: 6314 - 6328
Author(s): Z. Song, X. Wang, H. Xiong, M. Liu, M. Fei, X. Zhao, Z. Shen, S. Wang, D. Chen, L. Yao, Q. Wang, L. Zhang
Pages: 6329 - 6343
Author(s): X. Yang, B. Song, Y. Dong, W. Sun, T. Sun, S. Zheng, Z. Hou
Pages: 6344 - 6356
Author(s): H. Du, Y. Liu, C. Feng, G. Liu, C. Yang, G. Kou
Pages: 6357 - 6367
Author(s): X. Cheng, T. Zhou, S. Yin, H. Zhang, W. Xiong, W. Ding
Pages: 6368 - 6382
Author(s): A. Yuan, H. Lv, J. Hu, M. You
Pages: 6383 - 6397
Author(s): W. Zhang, H. Tao, Z. Wang, X. Wang, Y. Cheng
Pages: 6398 - 6411
Author(s): J. Tan, S. Xue, H. Cao, B. Chen
Pages: 6412 - 6425
Author(s): S. Wei, Z. Wu, J. Luo, Y. Gao, Z. Geng, S. Gu, J. Zhang
Pages: 6426 - 6439
Author(s): M. Xu, J. Xu, Z. Yang, W. Li, Y. Xu, S. Wei, S. Liu, B. Du, Z. Wang
Pages: 6440 - 6454
Author(s): H. Liu, Z. Hao, H. Ming, W. Wang, H. Yu, X. Zhang
Pages: 6455 - 6465
Author(s): L. Feng, D. Xing, J. Zhang, G. Pan
Pages: 6466 - 6477
Author(s): T. Zhang, Y. Han, L. You, X. Wang
Pages: 6478 - 6491
Author(s): A. Perrusquía, M. Zou, W. Guo
Pages: 6492 - 6505
Author(s): Z. Yang
Pages: 6506 - 6519
Author(s): J. Li, P. Cheng, X. Zhang, W. Zhu, G. Wang, L. Dou, B. Zheng, W. Sun
Pages: 6520 - 6534
Author(s): H. Zhang, Z. Zhou, Z. Kan
Pages: 6535 - 6549
54) TAFNet: Trusted Multiview Associative Fusion Neural Networks for Analyzing Dynamic Brain Networks
Author(s): W. Ding, W. Dai, T. Hou, T. Yin, Q. Hua, Y. Chen, J. Huang, J. Yang
Pages: 6550 - 6564
Author(s): K. Zhang, S. Pang, H. Pei, Y. Bai, W. Wu, X. He
Pages: 6565 - 6579
Author(s): Y. Lin, C. Lu, T. Wu, X. Zhao, G. Du, Y. Sun, Z. Li, J. Gong
Pages: 6580 - 6594
Author(s): W. Yang, W. Shang, Z. Liu
Pages: 6595 - 6608
Author(s): Z. Wei, T. Zhu, J. Zhang, G. Shi, F. Yang, L. Zhang, X. Yang, J. Tian, H. Hui
Pages: 6609 - 6623
Author(s): B. -J. Park, D. S. Han
Pages: 6624 - 6638
Author(s): Y. Wu, T. Wang, J. Zhao, W. Wang
Pages: 6639 - 6652
Author(s): H. -S. Hwang, J. Kim, J. Seok
Pages: 6653 - 6667
Author(s): K. Ni, W. Zhou
Pages: 6668 - 6682
Author(s): Z. Lin, Z. Chen, G. Zhu, J. Li
Pages: 6683 - 6693
Author(s): H. Liu, S. He, T. Liu, Z. Liu, Z. Zhang, Y. -F. Li
Pages: 6694 - 6708
Author(s): X. Wu, T. Pan, X. Chen, J. Liu, Z. He
Pages: 6709 - 6723
Wednesday, November 4, 2026
IEEE Transactions on Artificial Intelligence, Volume 7, Issue 11, November 2026
Author(s): C. Salaam, D. B. Rawat
Pages: 5855 - 5871
Author(s): D. Gurung, S. R. Pokhrel, G. Li
Pages: 5872 - 5891
Author(s): Y. Zhou, X. Wu, J. Wu, L. Feng, K. C. Tan
Pages: 5892 - 5907
Author(s): C. Bu, W. Yan, Z. Liu, Y. Song, C. Tang
Pages: 5908 - 5920
Author(s): F. Li, H. Pan, H. Shen, Q. Chen, S. Jiang, S. Yang
Pages: 5921 - 5936
Author(s): A. Kaimakamidis, I. Mademlis, I. Pitas
Pages: 5937 - 5952
Author(s): S. Gao, C. Huang, J. Zhu, X. Ma, J. Dong
Pages: 5953 - 5966
8) The Illusion of Rationality: Tacit Bias and Strategic Dominance in Frontier LLM Negotiation Games
Author(s): M. Ríos, R. Manrique, N. Quijano, L. F. Giraldo
Pages: 5967 - 5974
Author(s): Y. Yan, Q. Tang, M. Ye
Pages: 5975 - 5988
Author(s): Q. Hou, Y. Shi, P. Fan, K. B. Letaief
Pages: 5989 - 5998
Author(s): H. Li, H. Wu
Pages: 5999 - 6011
Author(s): J. Peng, L. Xiao, D. Wang, Z. Wang, Q. Zuo, Y. Ren
Pages: 6012 - 6022
13) Integral Reinforcement Learning for Latent Human Capability Inference in Human–Robot Interaction
Author(s): A. Talasaz, Z. Ni
Pages: 6023 - 6038
Author(s): G. B. Chandani, G. Dhiman
Pages: 6039 - 6047
Author(s): M. Li, F. Chao, C. -W. Lin, C. Shang, Q. Shen
Pages: 6048 - 6060
Author(s): Q. Liu, J. An, M. S. Rana, L. Zhang, Z. Pu, W. Chen
Pages: 6061 - 6074
Author(s): J. Chen, Y. Zheng, B. Lin, H. Cheng, Q. Zheng, J. Zhu
Pages: 6075 - 6087
Author(s): S. Huang, Z. Wei, J. A. McCann
Pages: 6088 - 6100
Author(s): J. Zhuo, Z. You, J. Zhong, M. Gao, X. Le
Pages: 6101 - 6111
Author(s): N. D. Wickramasinghe, D. -S. Zois
Pages: 6112 - 6127
21) Temporal Risk Forecasting of Infrastructural Health Using Deep Learning With Attention Mechanism
Author(s): I. Y. Sheikh, S. Jagannathan
Pages: 6128 - 6141
Author(s): T. H. Shivakumar, B. Pardhasaradhi, S. Boppu, O. -C. Granmo, L. R. Cenkeramaddi
Pages: 6142 - 6156
Author(s): Y. Zhang, H. Yin, H. Zhou, R. Mo, T. Zhang, S. X. Yang
Pages: 6157 - 6170
Author(s): H. Liang, C. Gao, Z. Niu, J. Zhang, J. Wang, L. Shen
Pages: 6171 - 6181
Author(s): V. Philippe, T. Bourlai, W. Wells, M. M. A. Taha
Pages: 6182 - 6196
Author(s): J. Jiang, M. Wu, X. Li, W. Yu, D. Wu
Pages: 6197 - 6207
Author(s): Z. He, P. Guo, X. Liu, J. -D. Zhang, C. -Y. Chow, N. Li, X. Sun
Pages: 6208 - 6221
Author(s): T. Rahman, S. A. P. Kumar
Pages: 6222 - 6236
Author(s): I. Rizgelienė, H. Seeck
Pages: 6237 - 6252
Author(s): M. Taraghi, Y. Pequignot, A. Nikanjam, M. A. Merzouk, F. Khomh
Pages: 6253 - 6267
Author(s): J. Huang, Q. Liu, B. Ning, Q. -L. Han
Pages: 6268 - 6283
Author(s): X. Lei, B. Luo, W. Zhang, W. Cao
Pages: 6284 - 6296
Author(s): J. -W. Xu, F. -F. Wei, W. -N. Chen
Pages: 6297 - 6310
Author(s): D. Zhang, Y. Yu, X. Chen, C. Li, D. Yu
Pages: 6311 - 6323
Author(s): C. J. Scozzaro, M. Delsanto, D. P. Radicioni
Pages: 6324 - 6339
Author(s): P. Guo, Y. Zhang, M. Yang, S. Li, P. Yu
Pages: 6340 - 6355
37) PSF-DLoRA: An Efficient and Effective Collaborative Fine-Tuning Framework for Domain-Specific LLMs
Author(s): H. Li, H. Jiang, B. Zhan, C. Fang, J. Wu, G. Yang, J. Zhang, Q. Yao, H. Wan
Pages: 6356 - 6371
38) Attention-Guided Variational Distillation for Robust Depth Estimation Under Challenging Conditions
Author(s): J. Kang, C. Zhu, F. Zhang, H. Shen, G. Wen
Pages: 6372 - 6384
Author(s): J. Lai, W. Zhou, Z. Zeng
Pages: 6385 - 6398
Author(s): Z. Ge
Pages: 6399 - 6405
Tuesday, November 3, 2026
IEEE Transactions on Fuzzy Systems, Volume 34, Issue 11, November 2026
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