Author(s): L. Jiao, J. Yang, R. Li, F. Liu, X. Liu, P. Chen, Y. Guo, L. Li, R. Shang, W. Ma
Pages: 2426 - 2446
Author(s): A. Singh, N. K. Chatta, A. Ehtesham, S. Kumar, G. K. Gupta, T. T. Khoei
Pages: 2447 - 2461
Author(s): N. Singh, S. R. Pokhrel
Pages: 2462 - 2477
4) A Comprehensive Review of Transformer-Based Language Models for Protein Sequence Analysis and Design
Author(s): N. Ghosh, D. Santoni, D. Nawn, E. Ottaviani, G. Felici
Pages: 2478 - 2495
Author(s): Y. Zhu, R. Jiang, Q. Ni, A. Bouridane
Pages: 2496 - 2505
Author(s): S. Evangelatos, E. Veroni, V. Efthymiou, C. Nikolopoulos, G. T. Papadopoulos, P. Sarigiannidis
Pages: 2506 - 2522
Author(s): X. Liu, H. Zhou, J. Dong, J. Xiao, X. Dong
Pages: 2523 - 2534
Author(s): J. Thati, A. J. Prakash, S. Ari
Pages: 2535 - 2548
Author(s): A. Afolabi, R. Aygun, T. X. Tran
Pages: 2549 - 2559
Author(s): D. Pfau, A. Jung
Pages: 2560 - 2576
Author(s): N. Naqvi, S. u. Rehman, M. Z. Islam
Pages: 2577 - 2593
Author(s): Y. -B. Kang, A. R. M. Forkan, A. Banerjee, P. P. Jayaraman, A. McCosker, S. Kim, N. Wieland, L. Kollias
Pages: 2594 - 2609
13) Asynchronous Federated Learning With Nonconvex Client Objective Functions and Heterogeneous Dataset
Author(s): A. Forootani, R. Iervolino
Pages: 2610 - 2624
Author(s): J. Meuer, M. Witte, T. S. Finn, C. Timmreck, T. Ludwig, C. Kadow
Pages: 2625 - 2637
Author(s): A. Malusare, V. Punyamoorty, V. Aggarwal
Pages: 2638 - 2647
16) Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications
Author(s): D. Huang, D. Shen, L. Lu, Y. Tan
Pages: 2648 - 2663
Author(s): W. Huang, L. Xiao, Q. Zuo, L. Li
Pages: 2664 - 2677
Author(s): R. Nayak, C. D. Jaidhar
Pages: 2678 - 2692
19) Federated Learning of Dynamic Bayesian Network via Continuous Optimization From Time Series Data
Author(s): J. Chen, Y. Ma, X. Yue
Pages: 2693 - 2709
Author(s): R. R. Chandrapu, P. Das, C. Pal, V. Prakash, R. S. R. Sudhamsu, S. Chakraborty, B. Das, A. Acharyya
Pages: 2710 - 2725
Author(s): M. M. Hossain, M. S. Hossain, S. Chaki, M. F. Mridha
Pages: 2726 - 2738
Author(s): A. Mullick, S. Purkayastha, S. Sharma, P. Goyal, N. Ganguly
Pages: 2739 - 2750
Author(s): Y. Boutyour, A. Idrissi
Pages: 2751 - 2760
Author(s): H. Dou, J. Lu, J. Du, C. Fu, W. Yao, H. Li, Y. Deng
Pages: 2761 - 2773
Author(s): H. Kim, S. Yoo, B. G. Kang, S. Lee, J. Lee, S. Yoon
Pages: 2774 - 2787
Author(s): C. Treesatayapun
Pages: 2788 - 2797
Author(s): Z. Liu, Y. Liu, K. Zhu, Z. Yu
Pages: 2798 - 2810
Author(s): E. Koç, A. C. Aras, T. Alikaşifoğlu, A. Koç
Pages: 2811 - 2825
Author(s): S. Shokrolahi, I. -M. Kim
Pages: 2826 - 2840
Author(s): J. Li, M. Xu, W. Tu, Y. Zeng, Z. Huang, M. Valkama, C. Song
Pages: 2841 - 2857
Author(s): L. Kong, D. Chen, C. Tang, D. Xiong, J. Lv
Pages: 2858 - 2869
Author(s): X. Zheng, P. -p. Li, P. Zhou, X. Wu
Pages: 2870 - 2881
Author(s): R. Chakraborty, P. Goyal
Pages: 2882 - 2891
Author(s): X. Sheng, W. Bao, Y. Guo, S. Fu
Pages: 2892 - 2907
Author(s): C. Wen, X. Xu, X. Shi, J. Cao, L. Hua
Pages: 2908 - 2919
Author(s): X. Qiu, L. Cheng, T. Hao, X. Tan
Pages: 2920 - 2930
37) ABAE-RTN: A Deep Learning Framework for Robust Physical Layer Security in Radio Transformer Networks
Author(s): N. Sagar, A. Kamble, M. K. Shukla, A. Anjali, O. J. Pandey
Pages: 2931 - 2940
Author(s): T. D. Gian, D. T. Tran, Q. -V. Pham, L. -N. Tran, V. -D. Nguyen
Pages: 2941 - 2955
39) Graph Attention Networks With Dual-Edge Connectivity for Alzheimer’s Disease Detection From Speech
Author(s): A. El Hallani, A. Chakhtouna, A. Adib
Pages: 2956 - 2966
Author(s): J. Si, H. Chen, L. Han
Pages: 2967 - 2979
Author(s): W. Qu, S. Liang, C. Pan, Z. Yang, G. Zhou, X. Fu, B. Liu, C. Wang, A. Elazab
Pages: 2980 - 2994
Author(s): H. Yan, J. Huang, T. Huang
Pages: 2995 - 3005
Author(s): X. Yang, Z. Wang, L. Wang, R. Zhang, G. Xu, Q. Yang
Pages: 3006 - 3017
Author(s): H. Singh, K. Choudhury, B. N. Subudhi, V. Jakhetiya, T. Veerakumar
Pages: 3018 - 3030
Friday, April 24, 2026
Weekly Review 24 April 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- People who use AI more have less confidence in their own intellectual abilities: https://futurism.com/health-medicine/ai-cognition-study
- The pain AI is causing educators-mostly caused by students using it to cheat: https://arstechnica.com/science/2026/04/to-teach-in-the-time-of-chatgpt-is-to-know-pain/
- AI on the edge of the cloud continues to be a growth area: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
- AI can lead to an increase in productivity, if employees are allowed to choose how they use it: https://www.computerworld.com/article/4159817/ai-is-finally-delivering-productivity-for-remote-employees.html
- Using AI to migrate away from mainframes is causing a lot of disappointment: https://www.theregister.com/2026/04/15/gartner_mainframe_exit_analysis/
- People are so fed-up with AI data centres that they are voting-out councils that approve them: https://futurism.com/artificial-intelligence/ctiy-council-data-center
- AI funding seems to be a great big circle that is going to fall apart when the flow of money stops: https://www.informationweek.com/machine-learning-ai/will-the-music-stop-for-ai-s-funding-dance-
- Companies have spent so much on AI that employees are being forced to use them, even though it makes them less productive: https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
- AI is getting better at science, for some fields: https://www.hpcwire.com/bigdatawire/2026/04/17/what-stanfords-hai-report-says-about-ai-in-science/
- US hospitals are rolling out more AI chatbots, but many concerns remain: https://arstechnica.com/health/2026/04/americans-ask-ai-for-health-care-hospitals-think-the-answer-is-more-chatbots/
- An enormous backlash against AI is brewing: https://futurism.com/artificial-intelligence/signs-massive-ai-backlash
- Teens are deeply skeptical of AI chatbots but can't stop using them: https://futurism.com/artificial-intelligence/teens-ai-chatbot-characterai
- The state of AI in twelve plots: https://spectrum.ieee.org/state-of-ai-index-2026
- VR has failed over and over again. Will AI go the same way? https: https://www.theregister.com/2026/04/15/hardware_metaverse_will_happen/
- Using an AI to train another AI can cause hidden biases to be propagated between models: https://www.theregister.com/2026/04/15/llms_inherit_bad_traits/
- How useful is AI journalling? https: https://www.theguardian.com/technology/2026/apr/12/experiment-with-ai-journalling
- Seriously, do not use an AI to diagnose any medical issues you might have: https://www.theregister.com/2026/04/15/ai_gets_early_medical_diagnosis/
- More tech layoffs justified by AI: https://www.theguardian.com/technology/2026/apr/15/snap-inc-blames-ai-worker-layoffs
- AI agents are a significant security risk: https://www.kdnuggets.com/are-ai-agents-your-next-security-nightmare
- The economic turmoil caused by Trump's war with Iran could accelerate job displacements by AI: https://www.theguardian.com/commentisfree/2026/apr/16/ai-destroying-jobs-energy-crisis-worse-doomsday-scenario
- Seven things you need to do to successfully roll-out a large language model AI: https://www.kdnuggets.com/7-steps-to-mastering-language-model-deployment
- AI providers have been scaling up their computing capacity without increasing their network bandwidth: https://www.theregister.com/2026/04/15/networks_not_ready_for_ai_challenges/
- AI are terrible at sports betting, which implies they struggle to build models of real-world activities over time: https://arstechnica.com/ai/2026/04/ai-models-are-terrible-at-betting-on-soccer-especially-xai-grok/
- Is it ethical to use AI to deceive people that a deceased loved-one is still alive? https: https://futurism.com/artificial-intelligence/mother-son-died-ai-clone
Friday, April 17, 2026
Weekly Review 17 April 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- You can't trust an AI shopping agent to not screw things up: https://futurism.com/artificial-intelligence/target-ai-agent-tos
- Concepts you need to understand to use LLM AI effectively: https://www.kdnuggets.com/10-llm-engineering-concepts-explained-in-10-minutes
- Using AI means designers can evaluate designs orders of magnitude faster than before: https://spectrum.ieee.org/large-physics-models-design-engineering
- I understand that doing a literature review is time-consuming and dull, but using AI to do it for you just means you end up with hallucinated references: https://www.nature.com/articles/d41586-026-00969-z
- China regulates to prevent harm caused by AI: https://futurism.com/artificial-intelligence/china-usa-ai-regulations
- Instead of building more and larger data centres to train AI, distribute the training instead: https://spectrum.ieee.org/decentralized-ai-training-2676670858
- Adapting your hiring processes to include AI: https://dataconomy.com/2026/04/06/enhancing-recruitment-processes-with-ai-strategies-for-modern-hiring-teams/
- Using AI to model and manage water flow in the Colorado river: https://spectrum.ieee.org/colorado-river-water-shortage
- Google's AI overviews are not reliable: https://arstechnica.com/google/2026/04/analysis-finds-google-ai-overviews-is-wrong-10-percent-of-the-time/
- Businesses plan to keep spending money on AI, even if it's not generating real returns: https://www.theregister.com/2026/04/10/ai_roi_kpmg/
- AI have a lot of security risks of their own, but they are also becoming powerful tools for finding security flaws: https://www.theguardian.com/technology/2026/apr/10/us-summoned-bank-bosses-to-discuss-cyber-risks-posed-by-anthropic-latest-ai-model
- Turns out AI really will destroy a lot of jobs: https://futurism.com/future-society/economist-ai-job-forecast
- If you're going to use AI tools in a clinical setting, informed consent of the patients is really important: https://arstechnica.com/tech-policy/2026/04/californians-sue-over-ai-tool-that-records-doctor-visits/
- AI tend to break in ways that engineers aren't used to or trained to recognise: https://spectrum.ieee.org/ai-reliability
- The inaccuracies of Google's AI overviews is creating a crisis of misinformation: https://futurism.com/artificial-intelligence/google-ai-overviews-misinformation
- If you are integrating AI into your business, build as if you are starting from scratch: https://www.theregister.com/2026/04/07/aws_garman_humanx_ai_underhyped/
- By this point nothing said by the CEO of an AI company should be trusted or taken seriously: https://arstechnica.com/tech-policy/2026/04/what-the-heck-is-wrong-with-our-ai-overlords/
- Spending on AI data centres is projected to hit $7T. Does anyone honestly think that that is sustainable? https: https://www.hpcwire.com/bigdatawire/2026/04/07/ai-is-running-into-a-7-trillion-wall/
- Only a minority of AI projects pay off: https://www.theregister.com/2026/04/07/ai_returns_gartner/
- The job market for older workers is so dire that people are having to train their own AI replacements just to make ends meet: https://www.theguardian.com/technology/ng-interactive/2026/apr/07/ai-training-work-jobs
- The challenges of moving AI data centres into space: https://www.hpcwire.com/bigdatawire/2026/04/10/could-space-become-the-next-frontier-for-ai-data-centers/
- AI has taken over most of the operations in currency trading: https://dataconomy.com/2026/04/10/ai-powered-trading-bots-and-the-evolution-of-forex-automation/
- AI trained on patient X-rays will happily hallucinate a diagnosis even if not shown an X-ray: https://futurism.com/artificial-intelligence/frontier-models-medical-advice-x-rays-cant-see
- AI still have a while to go before they can organise a good party: https://www.theguardian.com/technology/2026/apr/05/ai-bot-party-manchester-gaskell
- Jobseekers now need to know how to get through AI interviews: https://www.stuff.co.nz/nz-news/360961113/company-interviewed-more-1000-kiwis-ai-month
- Improving efficiency with AI requires effective leadership: https://www.hpcwire.com/bigdatawire/2026/04/06/the-ai-productivity-opportunity-bridging-the-technology-divide-starting-with-your-leadership/
Thursday, April 16, 2026
Complex & Intelligent Systems, Volume 12, Issue 4, April 2026
1) AI-native cloud-edge orchestration for 6G metaverse networks: an LLM-guided multi-agent DRL approach
Author(s): Daniel Ayepah-Mensah, Amine Kidane Ghebreziabiher, Jamal Bentahar
Author(s): Congyin Hu, Shuang Cao, Fengjiao Jiang
Author(s): Qingxia Shang, Yuanji Ming, Liang Feng
Author(s): Anusha Jayasimhan, A. Vijaya Lakshmi, Thompson Stephan
Author(s): Yujing Wang, Abdul Hadi Abd Rahman, Fadilla Atyka Nor Rashid
Author(s): Leo Poss, Stefan Schönig
Author(s): Chuanying Li, Qing Gong, Zhuoyu Yu
Author(s): Yao Zheng, Lei Guo, Ge Zhu
Author(s): Xiaoyan Shao, Xiaoming Bai, Zhenhao Zhao
Author(s): K. M. Kirupa Shankar, V. Santhi
Author(s): Yan Huo, Shuang Gang, Xiaoxue Sun
Author(s): Zhou Gong, Weiyu Zhou
Author(s): Xiaoxue Liang, Kuangrong Hao, He Ding
Author(s): Dongsheng Ji, Penghao Chao, Wenhao Fan
Author(s): Aymin Javed, Nadeem Javaid, Jin-Ghoo Choi
Author(s): Tianyuan Nie, Wenhao Zheng, Pei Xiao
Author(s): Lintao Song, Dezheng Cao, Xinye Ni
Author(s): Xingyi Li, Jiapeng Wang, Sen Su
19) ET-KAN: an energy-based transformer model with Kolmogorov–Arnold network for image reconstruction
Author(s): Chiara Marullo, Giuseppe Buonaiuto, Massimo Esposito
Friday, April 10, 2026
Weekly Review 10 April 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- Using AI leads to people losing their logical thinking skills: https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/
- These five statistical biases are worth knowing if you work with AI training data: https://www.kdnuggets.com/the-most-common-statistical-traps-in-faang-interviews
- One way to defeat AI plagiarism in class is to make students use typewriters: https://futurism.com/artificial-intelligence/ai-professor-typewriters
- Reports on the impact of AI on the job market are were based on some pretty big assumptions: https://arstechnica.com/ai/2026/03/how-did-anthropic-measure-ais-theoretical-capabilities-in-the-job-market/
- AI are NOT trustworthy: https://www.computerworld.com/article/4153919/why-ai-lies-cheats-and-steals.html
- While Large Language Model AI are fairly new, they're built on 90 years of development: https://www.techtarget.com/searchenterpriseai/tip/History-of-generative-AI-innovations-spans-9-decades
- AI facial recognition makes a lot of mistakes and causes a lot of harm: https://spectrum.ieee.org/facial-recognition-gone-wrong
- Users of AI need to understand the data behind the insights AI provide, before those insights can be trusted: https://www.hpcwire.com/bigdatawire/2026/03/31/the-ai-trust-gap-why-ai-performance-requires-control/
- Educators need to be transparent about the use of AI in producing teaching material: https://www.insidehighered.com/opinion/career-advice/teaching/2026/03/30/different-kind-ai-disclosure-statement-opinion
- AI pentesting tools allows for continuous security testing: https://www.theregister.com/2026/04/01/amazon_security_boss_ai_efficiency/
- Five different approaches to integrating AI into the university curriculum: https://www.insidehighered.com/news/student-success/academic-life/2026/04/03/how-5-colleges-are-approaching-ai
- Now CEOs are going because of AI: https://futurism.com/artificial-intelligence/ai-ceos-resign
- AI really is the ultimate capitalist tool-companies slash thousands of jobs even though they're already highly profitable: https://www.theguardian.com/technology/2026/apr/01/us-tech-firm-oracle-cuts-thousands-of-jobs-as-it-steps-up-ai-spending-larry-ellison
- Modular data centres allow for faster and cheaper scaling for AI: https://spectrum.ieee.org/modular-data-center
- Red Hat plans to roll more AI into its processes: https://www.theregister.com/2026/03/31/red_hat_ai_dev/
- Don't believe the hype around AI: https://www.computerworld.com/article/4152552/beware-of-headlines-touting-impossible-ai-benefits-analysts-warn.html
- Hands-on skilled workers are the ones least likely to be displaced by AI: https://www.theguardian.com/technology/2026/mar/31/jobs-ai-cant-do-young-adults
- Having many services hanging off of a single AI model means a single-point of failure: https://www.informationweek.com/machine-learning-ai/your-ai-vendor-is-now-a-single-point-of-failure
- AI needs chips, and chips makers need helium. The war with Iran has interrupted the helium supply: https://futurism.com/artificial-intelligence/helium-ai-iran-war
- AI is really destroying childrens' ability to learn: https://www.theguardian.com/technology/2026/apr/02/pupils-england-losing-thinking-skills-because-of-ai-survey
- Tertiary students are using AI for mental health support because on-campus support is not accessible: https://www.insidehighered.com/opinion/views/2026/04/03/what-know-about-ai-and-campus-mental-health-opinion
- Students are using AI-enabled glasses to cheat in exams: https://www.extremetech.com/electronics/ai-smart-glasses-rentals-are-helping-students-cheat-on-their-exams
- The waste heat from AI data centres directly affects the environment for kilometres around: https://www.theregister.com/2026/04/01/ai_datacenter_heat_islands/
- AI services are now being used for supply-chain attacks: https://www.theregister.com/2026/04/02/mercor_supply_chain_attack/
Thursday, April 9, 2026
IEEE Transactions on Cognitive and Developmental Systems, Volume 18, Issue 2, April 2026
Author(s): L. Chen, Z. Li, J. Yang, Z. Lu, P. Wu, T. Chen
Pages: 302 - 302
Author(s): R. Hu, Z. Yang, J. Shan, N. Su, Y. Tang, H. Yan, X. Lv, D. Fu, H. Zhang, T. Jiang, N. Zuo
Pages: 303 - 318
Author(s): Z. Han, A. Sengupta
Pages: 319 - 330
Author(s): J. Kang, C. Zhu, B. Chen, P. Zhong, H. Yang, T. Zou
Pages: 331 - 345
5) Grading of Developmental Dysgraphia Severity in Children: Multimodal Dataset and Classifier Fusion
Author(s): J. Kunhoth, M. Saleh, S. Al-Maadeed, P. Drotar, Y. Akbari
Pages: 346 - 360
Author(s): X. Hao, J. Wu, J. Yu, C. Xu, K. C. Tan
Pages: 361 - 372
Author(s): H. B. Jond
Pages: 373 - 384
Author(s): R. Yahyaabadi, S. Nikan
Pages: 385 - 397
Author(s): S. Wei, Z. Zhao, X. Feng, H. Yu
Pages: 398 - 410
Author(s): G. Xie, Y. Sun, X. Xu, H. Fu, Y. Shi, X. Hu
Pages: 411 - 423
Author(s): Z. Ye, Y. Yu, Y. Zhang, Z. Zhou, D. Hu, L. -L. Zeng
Pages: 424 - 437
Author(s): L. Jiang, J. Ren, Z. Zhou, Y. Qu, Z. Zheng, H. Lu, M. Wu
Pages: 438 - 451
Author(s): Q. Zhou, Y. Xu, D. Xiong, X. Wu, J. Zhou, Y. Wang
Pages: 452 - 461
Author(s): D. Lim, C. Park, J. Kim, J. Hong, S. Han
Pages: 462 - 475
15) Is There a Specific Motor Signature of Autism? Exploratory Studies From Human–Machine Interaction
Author(s): S. Gauthier, S. M. Anzalone, J. Xavier, S. Boucenna, A. Berthoz, M. Chetouani, D. Cohen
Pages: 476 - 487
Author(s): J. Xu, X. Nie
Pages: 488 - 503
Author(s): N. Pang, L. Huang, B. Dong, H. Chen, X. Wang, W. Zhang
Pages: 504 - 517
Author(s): A. Schroeer, F. I. Corona-Strauss, D. J. Strauss
Pages: 518 - 529
Author(s): S. Lu, B. Chen, P. Zhong, T. Zou, H. Yang, R. Liu, Y. Sheng
Pages: 530 - 543
Author(s): H. Hou, S. Ding, X. Xu, L. Guo, L. Ding, X. Wu
Pages: 544 - 555
Author(s): D. Wu, S. Zhang, Y. Gao, D. Wang, T. Jiang, P. -P. Vidal, J. Cao
Pages: 556 - 571
Tuesday, April 7, 2026
IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 4, April 2026
Author(s): F. Wang, X. Xie, Y. Xiong, Z. Liu, M. Kong, H. Dong, X. Chen
Pages: 1506 - 1517
Author(s): J. Zhou, F. Li, C. Gao, W. Ding, W. Pedrycz, G. Lang
Pages: 1518 - 1532
Author(s): H. Liu, B. Zhang, Z. Yu, D. Yuan, M. Dai
Pages: 1533 - 1545
Author(s): W. Chen, L. Peng, Z. Huang, R. Cai, Z. Hao, K. Zhang
Pages: 1546 - 1559
Author(s): W. Kong, Q. Feng, Q. Shu, J. Wang, T. Huang, B. Zhang
Pages: 1560 - 1574
Author(s): Y. Tian, Y. Song, Y. Zhang
Pages: 1575 - 1589
Author(s): M. Wei, X. Yang, Y. -K. Lai, S. Amir Tafrishi, Z. Ji
Pages: 1590 - 1604
Author(s): Y. Le, Z. Xiao, Y. Ding, E. S. Chng, K. Li
Pages: 1605 - 1617
Author(s): S. Wang, H. Zheng, Y. Chen, A. Belatreche, G. Wang, Y. Jin, J. Wu, M. Zhang, Y. Yang, H. Li
Pages: 1618 - 1630
Author(s): Z. Li, J. Ye, J. Wen, H. Liu, T. Wang, W. Lin
Pages: 1631 - 1644
Author(s): S. Wu, C. Zhang, J. Chen, T. Xu, L. Wu, Q. Wang, Y. Gao, Y. Hu, E. Chen
Pages: 1645 - 1659
Author(s): T. Zhao, J. Pan, X. You
Pages: 1660 - 1673
Author(s): J. Xing, Y. Liu, Z. Zhang, L. Chen, M. N. Hasan, Z. -B. Zhang
Pages: 1674 - 1686
Author(s): B. Zheng, C. -I. Ieong, C. Li, Z. Zhang, J. Yu, P. X. Liu
Pages: 1687 - 1701
15) Riemannian Implicit Differentiation via a Fixed-Point Equation for Riemannian Bilevel Optimization
Author(s): X. Fan, Y. Wu, Z. Gao, Z. Lu, F. Li, M. Harandi, Y. Jia
Pages: 1702 - 1716
Author(s): W. Ge, S. Huang, M. Li, Y. Jiao
Pages: 1717 - 1725
Author(s): Z. Wei, B. Lin, Y. Nie, J. Chen, S. Ma, H. Xu, X. Liang
Pages: 1726 - 1738
Author(s): K. Xiang, T. Huang, L. Yang, J. Lin
Pages: 1739 - 1751
Author(s): G. He, Z. Wang, L. Tang, R. Zhang, R. Wang, X. Li, F. Nie
Pages: 1752 - 1765
Author(s): C. Xiong, B. Zhao, C. Wang, S. Ding
Pages: 1766 - 1778
Author(s): Y. Liu, K. Liang, J. Xia, M. Liu, X. Yang, X. Liu, S. Zhou, S. Z. Li
Pages: 1779 - 1792
Author(s): G. Chen, Z. Wang, Q. Liu, J. J. Jiao, Y. Jin
Pages: 1793 - 1807
Author(s): X. Liu, D. Saxena, J. Cao, Y. Zhao, P. Ruan
Pages: 1808 - 1822
Author(s): X. Wu, Y. Zhu, C. Chen, C. Chen
Pages: 1823 - 1837
25) A Real-Time Neural Representation via Algorithm-Hardware Synergy for Sparse-View CT Reconstruction
Author(s): X. Li, H. Wan, K. Long, Q. Wu, C. Du, Y. Su, Z. Luo, X. Lou, Y. Zhang
Pages: 1838 - 1850
Author(s): X. Chen, Y. Li, X. Cao, H. Chen, H. Yao, B. An, Y. Chang
Pages: 1851 - 1863
Author(s): Y. Tang, M. Su, X. Zhang
Pages: 1864 - 1875
Author(s): Z. Qiao, X. Yu, W. Guo, X. Luo, M. Xiao, H. Xiong
Pages: 1876 - 1888
Author(s): W. Li, Y. -Y. Dong, C. -X. Dong, T. Sun, R. Guo, Z. Li
Pages: 1889 - 1903
Author(s): Z. Zhang, Y. Zhou, Y. Long, J. Zhang, J. Weng, Z. Li, Y. Gan, X. Tan
Pages: 1904 - 1918
Author(s): T. Xu, H. Gao, C. Chen, Y. Li, S. Xu, S. Guo, F. Chen
Pages: 1919 - 1933
Author(s): X. Chen, L. Yan
Pages: 1934 - 1947
Author(s): H. Chen, Y. Xu, Y. Xu, Y. Zhang, Y. Zhang, F. Wang, L. Cui
Pages: 1948 - 1962
Author(s): Y. Ma, T. Wei, N. Zhong, J. Mei, T. Hu, L. Wen, X. Yang, B. Shi, Y. Liu
Pages: 1963 - 1977
Author(s): P. Shi, W. Xue, J. Fan, F. L. Lewis, B. Lian
Pages: 1978 - 1990
Author(s): A. Wijesinghe, S. Wanninayaka, W. Wang, Y. -C. Chao, S. Zhang, Z. Ding
Pages: 1991 - 2005
Author(s): X. Li, Z. Huang, G. Ma, Y. Liu
Pages: 2006 - 2006
Monday, April 6, 2026
IEEE Transactions on Evolutionary Computation, Volume 30, Issue 2, April 2025
Author(s): E. M. Ibnoulouafi, T. Aouam, M. Oudani, M. Ghogho
Pages: 449 - 463
Author(s): A. R. Moya, S. Ventura
Pages: 464 - 478
Author(s): N. Li, B. Xue, L. Ma, M. Zhang
Pages: 479 - 490
4) Accelerating Bilevel Optimization With Hierarchical Many-Threaded Parallel Differential Evolution
Author(s): A. S. Dufek, J. S. Angelo, D. A. Augusto, H. J. C. Barbosa
Pages: 491 - 503
Author(s): X. Wang, J. Zhang, L. Tang, Y. Liu
Pages: 504 - 518
Author(s): X. Xue, Y. Mei, B. Zhao, M. Zhang
Pages: 519 - 533
Author(s): Z. He, F. Wang, B. Li, A. Zhou
Pages: 534 - 548
Author(s): L. Yan, Y. Du, J. Liang, B. Qu, C. Li, K. Yu
Pages: 549 - 563
Author(s): B. Santoshkumar, K. Deb
Pages: 564 - 578
10) A Distributed Ant Colony System With Pheromone Transfer for Multiagent Traveling Salesmen Problem
Author(s): X. -L. Shi, W. -N. Chen, F. -F. Wei, J. Zhang
Pages: 579 - 593
Author(s): Y. Huang, S. Wu, W. Zhang, J. Wu, L. Feng, K. C. Tan
Pages: 594 - 608
Author(s): R. Zhang, L. Li, L. Jiao, F. Liu, X. Liu, S. Yang
Pages: 609 - 623
Author(s): Y. Li, X. Feng, H. Yu
Pages: 624 - 637
Author(s): K. Zhao, X. Wang, C. Sun, Y. Jin
Pages: 638 - 651
Author(s): R. Guha, R. Mckendrick, B. Feest, K. Deb
Pages: 652 - 666
Author(s): Z. Ma, H. Guo, Y. -J. Gong, J. Zhang, K. C. Tan
Pages: 667 - 687
Author(s): D. Zhang, K. Zhang, K. Yu, J. Liang, K. Qiao, B. Qu, K. Chen, C. Yue
Pages: 688 - 701
Author(s): W. Fu, A. Trivedi, G. Chen, Y. Gao, D. Srinivasan, A. Danner
Pages: 702 - 716
Author(s): S. Jiang, Y. Wang, Y. Hu, Q. Zhang, S. Yang
Pages: 717 - 731
Author(s): C. Yue, Y. Shen, J. Liang, K. Yu, M. Li, T. Ma, H. Song
Pages: 732 - 746
Author(s): J. G. Falcón-Cardona, J. Juárez, L. A. Márquez-Vega, M. T. M. Emmerich
Pages: 747 - 761
Author(s): R. Krauss, R. Drechsler
Pages: 762 - 772
Author(s): B. Doerr, D. Korkotashvili, M. S. Krejca
Pages: 773 - 782
Author(s): G. Cortês, N. Lourenço, P. Machado
Pages: 783 - 794
Author(s): Y. Chen, Z. Zhou, Y. Liu, L. Hu, Z. Zou, L. Xu, Z. Gan, C. Ouyang
Pages: 795 - 809
Author(s): Y. Liu, X. Lin, Q. Zhang
Pages: 810 - 822
Author(s): K. Zhong, F. Xiao, X. Gao
Pages: 823 - 835
Author(s): S. Tan, Y. Wang, G. Sun, T. Pang
Pages: 836 - 850
Author(s): Y. Wang, H. Jin, G. -G. Wang
Pages: 851 - 866
Author(s): Y. Zhang, L. Li, Q. Lin, L. Wang, Z. Ming, F. Richard Yu, V. C. M. Leung
Pages: 867 - 881
Friday, April 3, 2026
Weekly Review 3 April 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- AI rollouts fail because staff are scared of AI: https://www.theregister.com/2026/03/26/workplace_ai_forrester/
- Looks like even AI can become over-confident from false praise: https://www.theregister.com/2026/03/24/ai_models_persona_prompting/
- Shoe-horning a huge AI model into a PC seems like an impressive engineering achievement for a problem that doesn't exist: https://www.computerworld.com/article/4149838/hp-will-cram-a-20-billion-parameter-ai-model-into-new-ai-pcs.html
- The factors working against orbital data centres are more economic than technological: https://arstechnica.com/space/2026/03/orbital-data-centers-part-1-theres-no-way-this-is-economically-viable-right/
- With AI agents, like any other software project, security is important: https://futurism.com/artificial-intelligence/openclaw-bots-security-disaster
- While amateurs using AI to generate court filings have caused chaos, lawyers can find value in using it as a tool to assist them: https://arstechnica.com/ai/2026/03/ai-is-beginning-to-change-the-business-of-law/
- This wearable has AI embedded and can run for two weeks on a single charge, because it uses analog processing for the most common calculations: https://spectrum.ieee.org/wearable-devices-ai-health-mai
- How one university is bringing AI into the arts: https://www.insidehighered.com/news/student-success/academic-life/2026/03/26/richmond-integrates-ai-across-liberal-arts
- It's easy to subvert an AI agent because they are so gullible: https://www.theregister.com/2026/03/23/pwning_everyones_ai_agents/
- The impact of AI on economic growth is zero: https://futurism.com/artificial-intelligence/ai-economy-gdp-2025
- While I am in favour of nuclear power, I'm not sure that using AI to navigate the regulations around them is appropriate: https://www.theregister.com/2026/03/25/microsoft_nvidia_ai_nuclear/
- The psychological downsides to AI making things too easy: https://spectrum.ieee.org/frictionless-ai-psychology
- Companies give AI chatbots personalities because it's good for the bottom line: https://www.computerworld.com/article/4147771/the-dark-side-of-chatbots-with-personality.html
- AI is exacerbating death fraud: https://www.computerworld.com/article/4146580/what-it-leaders-need-to-know-about-ai-fueled-death-fraud.html
- AI are programmed to be sycophants, but this undermines the judgement of their users: https://arstechnica.com/science/2026/03/study-sycophantic-ai-can-undermine-human-judgment/
- Even AI are getting worried about being replaced by AI: https://futurism.com/artificial-intelligence/ai-agent-job-could-be-replaced-by-ai
- Do you want a machine Omnissiah? Because this is how you get one: https://www.theguardian.com/lifeandstyle/ng-interactive/2026/mar/24/ai-religion-god-digital-spirituality
- I don't think it's a good idea for AI to psychoanalyse teen job applicants: https://www.nzherald.co.nz/nz/wellington/teenager-bewildered-at-pretty-stupid-ai-personality-feedback-after-woolworths-interview/RAI3GNQN5REUDPTHB3STGSLBNQ/
- Another novel pulled from publication after accusations that it was written by AI: https://arstechnica.com/ai/2026/03/hachette-pulls-shy-girl-horror-novel-after-concerns-about-ai-use/
- Costly regulation of AI is keeping smaller players out of the market: https://www.informationweek.com/machine-learning-ai/compliance-costs-risk-widening-the-ai-gap
- Using an explainable AI to find new metal alloys: https://www.hpcwire.com/bigdatawire/2026/03/24/data-driven-ai-framework-speeds-discovery-of-metals-built-for-extreme-conditions/
- Moving an AI project from pilot to production is hard: https://www.informationweek.com/machine-learning-ai/why-ai-scaling-is-so-hard-and-what-cios-say-works
- Yet another enormous AI data centre is to be constructed: https://www.theregister.com/2026/03/23/softbank_to_put_mega_server/
- Suddenly, AI-generated bug reports are useful: https://www.theregister.com/2026/03/26/greg_kroahhartman_ai_kernel/
- AI is taking over jobs one task at a time: https://www.theregister.com/2026/03/24/ai_job_unbundling/
- Six ways AI can moderate online content: https://www.techtarget.com/searchcontentmanagement/tip/Types-of-AI-content-moderation-and-how-they-work
- A global survey of attitudes towards AI shows continuing concerns: https://dataconomy.com/2026/03/25/anthropic-releases-worlds-largest-study-on-global-ai-attitudes/
- Is AI derailing the upwards mobility of the working class? https: https://futurism.com/artificial-intelligence/doctor-reels-son-becomes-plumber-ai
- AI-generated X-rays can now fool medical experts. What part of this seems like a good idea? https: https://dataconomy.com/2026/03/24/ai-generated-medical-scans-prove-nearly-indistinguishable-from-reality/
- High-voltage DC power transmission can improve the efficiency of AI data centres: https://spectrum.ieee.org/data-center-dc
IEEE Transactions on Fuzzy Systems, Volume 34, Issue 4, April 2026
Author(s): H. Yu, Q. Liu, W. Pedrycz, J. Lu
Pages: 1039 - 1040
Author(s): H. Huang, J. -H. Lee, S. -K. Oh, Z. Fu, J. H. Yoon, W. Pedrycz
Pages: 1041 - 1052
3) Modeling Contexts in Trade-off Total Cost and Customer Satisfaction VRP via Large Language Models
Author(s): H. -W. Ding, Z. -S. Chen, Y. Yang, W. Ding
Pages: 1053 - 1063
Author(s): H. Zhu, S. Liang, B. Chen, S. -L. Wang, Z. Zhang, W. Ding
Pages: 1064 - 1078
Author(s): Y. Li, C. -M. Vong, S. Wang
Pages: 1079 - 1094
Author(s): S. Xie, T. Yang, Y. Xie, H. Ying, Z. Wu
Pages: 1095 - 1108
7) Multiagent Fuzzy Reinforcement Learning With LLM for Cooperative Navigation of Endovascular Robotics
Author(s): T. Yao, Y. Xu, H. Wang, X. Qiu, K. Althoefer, P. Qi
Pages: 1109 - 1119
Author(s): H. Wang, L. Ren, T. Zhao, L. Jiao
Pages: 1120 - 1130
9) External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection
Author(s): K. He, J. Xu, Q. Lin, W. Wang, Z. Gao, J. Wu, Y. Huang, M. Feng
Pages: 1131 - 1143
10) Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis
Author(s): Z. Gao, Q. Lin, H. Wen, B. Pu, M. Feng, K. Li
Pages: 1144 - 1154
Author(s): C. Chen, J. M. Mendel, J. M. Garibaldi
Pages: 1155 - 1164
Author(s): J. Ding, Z. Wang, Y. Liu, H. Zhu, J. Yang, M. Tan, Z. Yu
Pages: 1165 - 1174
Author(s): S. Yin, L. Wang, A. A. Laghari, L. Teng, G. Srivastava, A. Almadhor, T. R. Gadekallu
Pages: 1175 - 1186
Author(s): Z. Yin, Z. Wan, S. Wu, Q. Zhu, S. Agaian, X. W. Sun
Pages: 1187 - 1201
Author(s): Y. Chen, S. Gao, J. Yang, T. Zhou, F. Fu, W. Ding
Pages: 1202 - 1216
Author(s): Z. Liu, H. Zhang, J. Sun, Z. Liang
Pages: 1217 - 1228
Author(s): Y. Gao, Z. -Y. Wang, Y. Wang, Z. -H. Wang, J. H. Park
Pages: 1229 - 1241
Author(s): L. Chen, X. Zhou, P. Gao, Z. Deng, Y. Yang, Y. Wu, P. D’Urso
Pages: 1242 - 1255
Author(s): E. Yu, J. Lu, X. Yang, G. Zhang
Pages: 1256 - 1268
Author(s): X. Zhang, Q. Wang, D. Miao
Pages: 1269 - 1281
Author(s): Z. Hua, S. Xu, J. Wang, J. Liu, L. Martinez
Pages: 1282 - 1294
Author(s): Q. Huang, S. Gao, G. Li, W. Wang
Pages: 1295 - 1306
Author(s): J. Jing, S. Qu, C. Wang, X. Li
Pages: 1307 - 1320
Author(s): K. Li, J. Lu, H. Zuo
Pages: 1321 - 1334
Author(s): C. Sun, F. Fang, X. Wu, H. Han
Pages: 1335 - 1348
26) Knowledge Calibration Fusion and Label Space Graph Regularization-Based Multicenter Fuzzy Systems
Author(s): C. Wang, P. Qian, W. Cai, J. Yao, Y. -Z. Jiang, W. Hu, E. -Y. -K. Ng, S. Wang
Pages: 1349 - 1360
Author(s): L. Li, Q. Wang, Y. She, X. Feng, C. Chen
Pages: 1361 - 1371
Author(s): H. Li, Y. Chen, W. Ni
Pages: 1372 - 1384
Thursday, April 2, 2026
Complex & Intelligent Systems, Volume 12, Issue 3, March 2026
Author(s): Matthias Bues, Maurizio Faccio, Benjamin Wingert
Author(s): He-Feng Yin, Xiao-Jun Wu, Zi-Qi Li
Author(s): Buti Sello, Jianming Yong, Xiaohui Tao
Author(s): Hamza Rauf, Umair Khan, Aurang Zaib
Author(s): Jing Jiang, Pingping Tong, Benyue Su
Author(s): Shengyong Qiu, Liangjing Su, Yinan Zhong
Author(s): Long Xiao, Ping Liu, Wenyan Ci
Author(s): Mehboob Ali, Yasir Akhtar, Miin-Shen Yang
Author(s): Jialin Wu, Jian Yang, Zhiyong Yu
Author(s): V. Anitha
Author(s): Pulkit Dwivedi, Vishakha Agarwal, Akram Bennour
Author(s): Mohammad Hassan Ranjbar, Ali AbdiJu Hong Park
13) A flexible linear temporal logic-based data inference architecture for industrial process prediction
Author(s): Xu Huo, Ruyu Liu, Xiufeng Liu
Author(s): Shiyi Tian, Jinxia Shang
Author(s): Raniyah Wazirali
16) Cross-corpus language-independent speech emotion recognition using hybrid deep learning framework
Author(s): Ahmad Almadhor, Salem Belhaj, Iryna Ivanochko
Author(s): Tingting Wu, Qingwei Dong, Manxue Guo
Author(s): Yixin Tong, Zhi Li, Haixin Li
Author(s): Junliang Wang, Jiaqi Hu, Xiancheng Lin
Author(s): Aymin Javed, Nadeem Javaid, Abdul Khader Jilani Saudagar
Author(s): Hao Yu, Xiu-xia Yang, Yi Zhang