IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 8, August 2026

1) Next-Gen Digital Predistortion From Hardware Acceleration of Neural Networks: Trends, Challenges, and Future

Author(s): M. T. Khan, Y. Ding, G. Goussetis

Pages: 3503 - 3523

2) A Survey on Learning Motion Planning and Control for Mobile Robots: Toward Embodied Intelligence

Author(s): M. Wang, Y. Niu, B. Wang, W. Zhang, C. Wang

Pages: 3524 - 3544

3) PosFormer: Generalizable Indoor Positioning via Global--Local Feature Fusion Network

Author(s): X. Xiao, Z. Yao, X. Gao, M. Sheng, D. Peng, M. Zeng

Pages: 3545 - 3558

4) Adversarial Augmentation With Maximum Discrepancy for Graph Contrastive Learning

Author(s): C. Chen, X. Wei, Y. Zhang, W. Ye

Pages: 3559 - 3573

5) Seeing Clearly and Detecting Precisely: Perceptual Enhancement and Focus Calibration for Small-Object Detection

Author(s): Z. Zhu, Y. Yang, G. Qi, S. Li, H. Li, Y. Liu

Pages: 3574 - 3588

6) NeRF-MIR: Toward High-Quality Restoration of Masked Images With Neural Radiance Fields

Author(s): X. Huang, Z. Zhong, S. Chen, Y. Xu, J. Guan, S. Zhou

Pages: 3589 - 3603

7) Discovering Causality Representations in Graph Convolutional Network for Automated Assessment of Parkinsonian Hand Postural Tremor

Author(s): Y. Quan, R. Guo, J. Ren, C. Zhang, X. Qian

Pages: 3604 - 3617

8) Cross-Scene Hyperspectral Image Classification via Bidirectional Mamba and Domain Mixing Network

Author(s): J. Dang, C. Guo, M. Zhang, Y. Zhang, W. Jia, W. Li

Pages: 3618 - 3631

9) A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems

Author(s): P. Hytla, T. T. A. Nghia, D. N. Phan, A. Rice

Pages: 3632 - 3642

10) EEGMoE: A Domain-Decoupled Mixture-of-Experts Model for Self-Supervised EEG Representation Learning

Author(s): X. Gao, D. Wang, Y. Zhao

Pages: 3643 - 3655

11) Improved Spontaneous EEG Signal Decoding Efficiency by Function Predefined Convolutional Neural Network

Author(s): B. Fu, F. Li, J. Li, Y. Ji, Y. Li, Y. Quan, L. Zhang, G. Shi

Pages: 3656 - 3668

12) An Attention-Assisted AI Model for Real-Time Underwater Sound Speed Estimation Leveraging Remote Sensing Sea Surface Temperature Data

Author(s): P. Wu, W. Huang, Y. Shi, F. Yin, H. Zhang

Pages: 3669 - 3683

13) Gradient-Refined Federated Learning on Head-Tail Imbalanced Data

Author(s): Y. Wang, H. Zhang, C. Xu, L. Gu, J. Zhang, T. Zeng, Z. Gao

Pages: 3684 - 3699

14) Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation

Author(s): L. Guan, L. Duan, X. Wang, Z. Li, H. Wang

Pages: 3700 - 3714

15) PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs

Author(s): S. Ji, Y. Tian, F. Liu, X. Li, L. Wu

Pages: 3715 - 3726

16) Structure-Enhanced Self-Supervised Weighted Information Bottleneck for Multiview Clustering

Author(s): Z. Lou, Y. Wu, K. Zhang, C. Zhang, B. Ji, S. Hu

Pages: 3727 - 3740

17) Attention-Guided Low-Light Object Detection Based on Receptive Field With Adaptive Depth Convolution

Author(s): J. Zhao, Y. Liu, F. Xie, L. Song, J. Ding

Pages: 3741 - 3754

18) LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning

Author(s): Y. Shi, Y. Wu, J. Wei, R. Ran, C. Sun, S. He, Y. Yang

Pages: 3755 - 3768

19) An Adaptive Environment Generator for Effective Decision Region Enlargement in Deep Reinforcement Learning

Author(s): W. Yin, G. Zhao

Pages: 3769 - 3781

20) Mitigating LLM Hallucination Snowballing in Multiagent Systems via Context-Aware Semantic Consistency Reasoning

Author(s): X. Xu, J. Wu

Pages: 3782 - 3796

21) Cross-Image Federated Learning for Hyperspectral Image Classification

Author(s): Z. Li, X. Zhang, L. Zheng, G. Wang, L. Jiao

Pages: 3797 - 3811

22) ATTE: An Innovative Ensemble Learning Method With Age-Group-Guided Fine-Tuning for Improving Personalized Blood Pressure Estimation

Author(s): Y. Cen, H. Wang, X. Zhu, C. Miao, J. Luo

Pages: 3812 - 3826

23) MetaGrasp: Generalizable Dexterous Multifingered Functional Grasping With Gradual Skill Curriculum Learning

Author(s): Y. Lv, Q. Chen, X. Lin, J. Li, W. Bai, Y. Sun

Pages: 3827 - 3841

24) A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision--Language Models

Author(s): L. Lin, Y. Wang, C. Zhu, J. Chen

Pages: 3842 - 3856

25) Heuristic Knowledge-Driven Spatio-Temporal Forecasting via Multigraph

Author(s): X. Xiao, X. Xiang, X. Yang, Z. Jin, J. Xu, S. Wang, G. Mao, W. Shao

Pages: 3857 - 3871

26) Virtual Domain-Guided Cross-Modal Distillation With Multiview Correlation Awareness for Domain-Specific Multimodal Neural Machine Translation

Author(s): Z. Hou, J. Guo, Z. Yu

Pages: 3872 - 3886

27) Causal Graph Spatial--Temporal Autoencoder for Reliable and Interpretable Process Monitoring

Author(s): X. Zhang, C. Song, W. Dai, Z. Zhang, K. Gao, F. Gao

Pages: 3887 - 3899

28) Egocentric Head Direction Encoding and Perception Model Based on an Adaptive Ring Attractor Network

Author(s): Z. Chen, H. Wang, J. Li, G. Li, S. Wang

Pages: 3900 - 3912

29) Decentralized Primal--Dual Optimization Without Global Lipschitz Continuity

Author(s): L. Wang, S. Yang, M. -L. Zhang

Pages: 3913 - 3927

30) Transformer Meets Gated Residual Networks to Enhance PICU's PPG Artifact Detection Informed by Mutual Information Neural Estimation

Author(s): T. -D. Le, C. Macabiau, K. Albert, S. Chatzinotas, P. Jouvet, R. Noumeir

Pages: 3928 - 3942

31) KSIQA: A Knowledge-Sharing Model for No-Reference Image Quality Assessment

Author(s): H. Wang, J. Liu, H. Tan, J. Lou, X. Liu, W. Zhou, Y. Chen, R. Whitaker, W. Colombo, H. Liu

Pages: 3943 - 3955

32) AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis

Author(s): B. Alawode, I. Iyappan Ganapathi, S. Javed, M. Bennamoun, A. Mahmood

Pages: 3956 - 3969

33) Class-Incremental Cloud-Device Collaborative Adaptation With Contrastive Learning in Dynamic Changing Environments

Author(s): Y. Zeng, H. Ren, Y. Cai, Y. Li, Y. Wang, Q. Li

Pages: 3970 - 3984

34) Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering

Author(s): C. Liu, Y. Li, Y. Yi, K. H. Johansson

Pages: 3985 - 3997

35) Resource-Efficient and Layer Interdependence-Aware CNN Pruning Leveraging Filter Replacement

Author(s): S. Tofigh, M. Askarizadeh, M. Omair Ahmad, M. N. S. Swamy, K. K. Nguyen

Pages: 3998 - 4011

Tuesday, August 4, 2026

IEEE Transactions on Artificial Intelligence, Volume 7, Issue 8, August 2026

1) Prompt-Based Jailbreaking of Leading LLM Chatbots: A Survey of Attacks and Defenses

Author(s): B. Knowlton, J. Campa, D. S. Gallo, K. Dajani, N. Alzahrani

Pages: 4237 - 4251

2) Emerging Paradigm of Quantum Machine Learning: Knowledge Insights and Future Prospects

Author(s): K. S. Rawat, T. Sharma

Pages: 4252 - 4266

3) Ensemble Learning for Large Language Models in Text and Code Generation: A Survey

Author(s): M. Ashiga, W. Jie, F. Wu, V. Voskanyan, F. Dinmohammadi, P. Brookes, J. Gong, Z. Wang, R. Giavrimis, M. Basios, L. Kanthan

Pages: 4267 - 4281

4) Dopamine Neuron Activity Visualization From MRI Sensors Through 3-D MRI-to-SPECT Synthesis for Parkinson’s Disease Assessment

Author(s): J. -C. Hung, S. -P. Pan, J. -Y. Wu, D. -W. Jaw, S. -C. Huang

Pages: 4282 - 4290

5) Adaptive Reinforcement Learning-Driven Digital Twin for Multiobjective and Multimachine Process Optimization

Author(s): C. -Y. Lin, T. -L. Tseng, T. -H. Tsai

Pages: 4291 - 4310

6) ECGNextFormer: A Lightweight, Scalable, and Explainable Architecture for Estimating Cardiovascular Well-Being From Electrocardiograms

Author(s): M. Y. Ansari, M. R. Islam, K. Qaraqe, E. Serpedin, R. Righetti, M. Qaraqe

Pages: 4311 - 4325

7) Luminance Component Analysis for Exposure Correction

Author(s): J. Peng, T. Bashford-Rogers, J. Chen, H. Zhao, Z. Hu, K. Debattista

Pages: 4326 - 4339

8) FGPT: Fine-Grained Prompt Tuning for Zero-Shot Anomaly Detection

Author(s): Y. Wang, X. Wang, H. Li, J. Liu, T. Tillo, J. Xiao

Pages: 4340 - 4352

9) Online Explainable Streaming Feature Selection and Classification via Feature Polarity

Author(s): P. Zhou, J. Liang, Y. Zhang, Y. Yan, S. Zhao, X. Wu

Pages: 4353 - 4366

10) Learning From Easy to Hard: Fingerprint Spoof Detection With Hard Sample Mining

Author(s): W. R. Putri, F. R. Hakim, B. -T. Pham, S. -K. Chen, C. -I. Huang, K. -C. Li, S. -L. Chen, J. -C. Wang

Pages: 4367 - 4375

11) Collaborative Truck-Drone Routing With Multivisit via Surrogate-Assisted Bi-Level Optimization

Author(s): R. Zhai, X. Zhang, Y. Mei, W. Du, T. Guo, T. Song

Pages: 4376 - 4391

12) Learning From Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges

Author(s): K. Bose, S. Das

Pages: 4392 - 4406

13) Momentum-Based Zeroth-Order Gradient Method for Distributed Black-Box Optimization

Author(s): Q. Dang, B. Li, X. He

Pages: 4407 - 4420

14) Conditional Deep Unrolling for LiDAR Super-Resolution and Improved Segmentation: An End-to-End Solution

Author(s): A. Gkillas, N. Pipergikos, A. S. Lalos, D. -V. Nguyen

Pages: 4421 - 4435

15) FLAT: An Efficient Federated Learning Scheme With Adaptive Topology and Secure Aggregation

Author(s): Y. Feng, T. Bai, Z. Lu, X. M. Tang, S. Lu

Pages: 4436 - 4447

16) TD($\lambda$)-GA: A Reinforcement Learning-Based Game Algorithm for Weighted Vertex Cover of Networks

Author(s): C. Tang, L. Zhou, J. Chen, J. Lai, G. Chen

Pages: 4448 - 4463

17) Adaptive Feature Fusion Based on Double Head Framework for Small Object Detection in Highway Scenarios

Author(s): S. Chan, J. Zheng, S. Li, P. Mu, C. Bai

Pages: 4464 - 4475

18) Delay-Aware Reinforcement Learning With Encoder-Enhanced State Representations

Author(s): B. Xia, Y. Kong, Y. Chang, B. Yuan, Z. Li, X. Wang, B. Liang

Pages: 4476 - 4490

19) MSFFNet: Multistage Feature Fusion With Metadata Injection for Vehicle Reidentification

Author(s): H. Shi, Y. Deng, J. Huang, Q. Yang, P. Zhou, K. Wang, W. Ding

Pages: 4491 - 4503

20) DQEN: Dual Query Enhancement Network for DETR-Based HOI Detection

Author(s): Z. Li, Y. Qian, C. Wang, Y. Lu, Y. Chen, J. Wang, J. Wu

Pages: 4504 - 4517

21) Bayesian Probabilistic Knowledge From Diameter Prior for Decision Fusion to Detect Lung Nodule Heterogeneity

Author(s): M. R. Islam, M. K. Hasan, H. Kurban, E. Serpedin

Pages: 4518 - 4532

22) Neural Network Intelligent Adaptive Optimal Output Feedback Attitude Tracking Control for Rigid Spacecraft Using Actor-Critic Reinforcement Learning

Author(s): J. Zhang, L. Zhao

Pages: 4533 - 4540

23) HiCo-STEP: Causality Informed Hierarchical Spatiotemporal Network for Traffic Emission Prediction

Author(s): G. Zhang, L. Pei, Y. Cao, Y. Kang, J. Qin

Pages: 4541 - 4552

24) Adaptive Geometric Representation Learning Through Mixed-Curvature Mixture-of-Experts Diffusion for Link Prediction

Author(s): W. Zhang, W. Fan, N. Bouguila

Pages: 4553 - 4566

Monday, August 3, 2026

IEEE Transactions on Evolutionary Computation, Volume 30, Issue 4, August 2025

1) Guest Editorial: Evolutionary Computation Meets Large Language Models

Author(s): M. Jiang, L. Feng, Q. Zhang, K. C. Tan

Pages: 1330 - 1332

2) Spike-Driven Lightweight Large Language Model With Evolutionary Computation

Author(s): M. Zhang, W. Wei, Z. Zhou, W. Liu, J. Zhang, A. Belatreche, Y. Yang

Pages: 1333 - 1346

3) Evolutionary Computation-Enhanced Large Language Models for Intelligent Code Completion

Author(s): D. Liu, Z. Tan, G. G. Yen, S. Duan, Y. Zhou, Z. He

Pages: 1347 - 1361

4) LLMENAS: Evolutionary Neural Architecture Search via Large Language Model Guidance

Author(s): Y. Lai, Z. Cai, L. Chen, T. Ling, H. -L. Liu

Pages: 1362 - 1376

5) LLM-Assisted Automatic Memetic Algorithm for Lot-Streaming Hybrid Job Shop Scheduling With Variable Sublots

Author(s): R. Li, L. Wang, H. Sang, L. Yao, L. Pan

Pages: 1377 - 1389

6) LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Author(s): Z. Ma, Y. -J. Gong, H. Guo, J. Chen, Y. Ma, Z. Cao, J. Zhang

Pages: 1390 - 1404

7) Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons

Author(s): J. Liu, Z. Sun, S. Feng, C. Chen, Y. -S. Ong

Pages: 1405 - 1419

8) CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation

Author(s): K. Li, Y. Yuan, H. Yu, T. Guo, S. Cao

Pages: 1420 - 1434

9) Evolutionary Content Generation via Multimodal LLM-Based Fitness Evaluation

Author(s): Y. Hou, N. Wang, Z. Yu, D. M. Bossens, Y. Wu, Q. Zhang, Y. -S. Ong

Pages: 1435 - 1449

10) UniBreak: A Unified Evolutionary Token-Level Jailbreaking Framework for Large Language Models

Author(s): S. You, W. Jiang, H. Mei, D. Gong, Z. Li, J. Yu, J. Ji, Q. Lin, X. Li, K. -C. Wong

Pages: 1450 - 1464

11) Multigranularity Adversarial Attacks on Large Language Models Using Genetic Programming

Author(s): W. Han, H. Li, M. Gong, Y. Zhou, Y. Wu, A. K. Qin, L. Xing

Pages: 1465 - 1479

12) Multimodal Multiobjective Neural Architecture Search for Lightweight and Failure-Resilient Time Series Forecasting

Author(s): Y. Li, H. Zhao, J. -Y. Li, J. Liu

Pages: 1480 - 1494

13) Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments

Author(s): J. Luo, K. Miras, C. Longhi, O. Weissl, A. E. Eiben

Pages: 1495 - 1504

14) A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multiobjective Optimization

Author(s): Y. Hu, Z. Zheng, J. Ou, Y. Song, J. Zheng, J. Zou, P. N. Suganthan, S. Yang

Pages: 1505 - 1519

15) ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification

Author(s): Q. Fan, Y. Zhang, X. Yao, Y. Bi, B. Xue, M. Zhang

Pages: 1520 - 1533

16) An Evolution Strategy With Adaptive Fitness Sharing for Multimodal Multiobjective Optimization

Author(s): A. Ahrari, R. A. Sarker, M. Preuss

Pages: 1534 - 1548

17) Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Author(s): R. Wang, X. Feng, H. Yu, Y. Tan, E. M. . -K. Lai

Pages: 1549 - 1563

18) Neuro-PLS: A Generalizable Local Search Framework for Multiobjective Combinatorial Optimization

Author(s): H. Zhang, J. Shi, J. Sun, Q. Zhang, Z. Xu

Pages: 1564 - 1578

19) A Survey on Evolutionary Multimodal Optimization-Driven Machine Learning

Author(s): P. Wang, B. Xue, J. Liang, M. Zhang

Pages: 1594 - 1614

20) Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process

Author(s): J. Qiao, W. Huang, X. Meng

Pages: 1615 - 1629

21) Large-Scale Multimodal Multiobjective Optimization Based on Multiview Diversity Enhancement Mechanism

Author(s): T. Zheng, J. Liu, Y. Jin, X. Wang, Y. Liu

Pages: 1630 - 1644

22) YOLO-Light: Automatic Lightweight You-Only-Look-Once Generation in Different Scenarios Through NeuroEvolution

Author(s): Z. Shuai, T. Yu, B. Zhang, C. Ren, L. Wang, X. Jiang, L. Li, J. Shuai

Pages: 1645 - 1658

23) Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP

Author(s): S. Silva, I. Magessi, L. Vanneschi

Pages: 1659 - 1668

24) Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization

Author(s): C. Tsakonas, K. Chatzilygeroudis

Pages: 1669 - 1683

25) Conditional-Surrogate-Assisted Particle Swarm Optimization for Large-Scale Robust Optimization Over Time

Author(s): X. -F. Liu, T. -H. Wang, Z. -H. Zhan, J. Zhang

Pages: 1684 - 1698

26) It’s Morphing Time: Unleashing the Potential of Multiple LLMs via Multiobjective Optimization

Author(s): B. Li, Z. Di, Y. Yang, H. Qian, P. Yang, H. Hao, K. Tang, A. Zhou

Pages: 1699 - 1713

27) Visual Evolutionary Optimization on Graph-Structured Combinatorial Problems with MLLMs: A Case Study of Influence Maximization

Author(s): J. Zhao, K. H. Cheong

Pages: 1714 - 1728

28) Evolutionary Contribution and Problem Heuristic Information Ensemble-Based Resource Allocation for Cooperative Coevolution

Author(s): D. Liu, M. -Y. Lu, Q. Yang, W. -N. Chen, Y. -H. Jia, J. -Y. Li, T. Li, Y. -Y. Ma, J. Zhang

Pages: 1729 - 1746

29) An Evolutionary Approach for the Computation of ϵ-Locally Optimal Solutions for Multiobjective Multimodal Optimization

Author(s): C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann, O. Schütze

Pages: 1747 - 1760

30) Evolutionary Reinforcement Learning With Late-Start Evolution and Clustering Archive

Author(s): Q. Cai, Y. -H. Jia, K. Zheng, S. Ou, W. -N. Chen

Pages: 1761 - 1775

Friday, July 31, 2026

Weekly Review 31 July 2026

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

1. Many of the jobs once thought to be safe from replacement by AI are not so safe after all: https://www.computerworld.com/article/4198977/oecd-physical-labor-isnt-immune-from-ai-disruptions.html
2. OpenAI is launching a web service to make it easier for businesses to deploy AI agents: https://www.theregister.com/ai-and-ml/2026/07/22/openai-tries-the-consulting-path-with-presence-charging-enterprises-boots-on-the-ground-prices-to-deploy-agents/5275867
3. How CIO can tell if an agent is AI or just AI-washed: https://www.informationweek.com/machine-learning-ai/how-cios-can-tell-real-ai-agents-from-agent-washing-
4. The US army is using AI so much it is running out of allocated tokens: https://arstechnica.com/ai/2026/07/us-army-faces-ai-use-limits-after-exhausting-years-supply-of-ai-tokens/
5. AI companies are carrying, and hiding, an enormous amount of debt: https://futurism.com/artificial-intelligence/ai-companies-hide-debt-off-balance-sheet
6. An AI breaking out of containment to attack another AI company is the kind of thing that should be slamming the brakes onto AI development worldwide: https://www.rnz.co.nz/news/world/779026/why-experts-are-worried-an-openai-model-decided-to-hack-hugging-face
7. AI will cheat to perform a task, then lie about it: https://www.theregister.com/ai-and-ml/2026/07/21/ais-cheatin-heart-will-make-you-weep/5275784
8. The US wouldn't need AI to handle authorisations for medical care if they had free universal healthcare like the rest of the developed world: https://arstechnica.com/ai/2026/07/will-ai-fix-prior-authorization-or-make-it-worse/
9. AI can not be relied upon to give electoral advice: https://www.theguardian.com/technology/2026/jul/21/election-voting-advice-ai-chatbots-inaccurate-unreliable-hungary
10. The need for a metric that measures how well an AI does what you want it to do, rather than what you ask it to do: https://spectrum.ieee.org/ai-agent-benchmark
11. The first lawsuit that seeks to determine if AI are liable if they give you bad medical advice: https://futurism.com/artificial-intelligence/openai-lawsuit-chatgpt-dangerous-medical-advice
12. Shadow AI use is a security risk to organisations that is poorly understood: https://www.techtarget.com/searchsecurity/news/366646095/Employees-shadow-AI-use-is-poorly-monitored-survey-finds
13. More developers are using AI to code, but productivity is not increasing: https://www.informationweek.com/machine-learning-ai/the-ai-coding-rollout-worked-now-cios-have-a-bigger-problem
14. AI use is driving unionisation by tech workers: https://www.theguardian.com/technology/2026/jul/21/ai-tech-workers-unionize
15. Australia's AI regulations are a boon for AI companies: https://www.theguardian.com/technology/2026/jul/23/openai-anthropic-australia-ai-regulation
16. Guardrails on AI are still manifestly inadequate: https://futurism.com/artificial-intelligence/openai-pushes-child-into-grave
17. The lack of sovereign AI is not really much of a problem: https://www.theregister.com/ai-and-ml/2026/07/22/sovereign-ai-is-nonsense-says-doctorow/5276578
18. The use of AI in court filings is not banned in New Zealand, but there are gotchas that need to be navigated: https://lawnews.nz/technology/ai-for-legal-practitioners-why-fear-is-not-a-strategy/
19. In ten years AI data centres will use 20% of the electricity generated in the USA-if they continue to be built, that is: https://dataconomy.com/2026/07/22/ai-surge-drive-us-data-centers-one-fifth-power-2035/
20. An AI plugin for Excel: https://www.theregister.com/ai-and-ml/2026/07/22/grok-muscles-into-excel-with-an-ai-add-in-of-its-own/5276138
21. A highly power-efficient AI model based on oscillators: https://dataconomy.com/2026/07/21/startup-unveils-ai-model-built-on-oscillators-and-it-could-cut-energy-use-by-1000x/
22. The AI crash, when it happens, is going to impact retirement savings world wide: https://www.stuff.co.nz/money/361009974/red-flags-are-mounting-ai-crash-heres-why-your-kiwisaver-could-be-risk
23. China is catching up in AI: https://futurism.com/artificial-intelligence/ai-execs-quaking-boots-chinese-models
24. An AI powered anti-drone platform: https://www.theregister.com/offbeat/2026/07/21/us-marines-latest-anti-drone-toy-is-an-ai-turret-that-uses-regular-machine-guns/5275691

Monday, July 27, 2026

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 10, Issue 4, August 2026

1) A Review of Surrogate-Assisted Evolutionary Multi-Objective Optimization

Author(s): Q. Wang, Y. Zhang, D. Gong, X. Song, C. He, X. Ji, F. Chu

Pages: 2741 - 2761

2) A Review of Evolutionary Algorithms for Multimodal Multi-Objective Optimization: Mechanisms, Progress, and Prospects

Author(s): L. Zhang, X. Tang, W. Li, R. Wang, T. Zhang, L. Wang

Pages: 2762 - 2782

3) A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

Author(s): X. Cong, Y. Zhao, J. Gui, J. Hou, D. Tao

Pages: 2783 - 2801

4) Attribute Reduction for Heterogeneous Data by Hybrid Neighborhood Graph Structure and Neighbor Inconsistent Pair Selection

Author(s): J. Dai, J. Liu, W. Ding, C. Zhang

Pages: 2802 - 2815

5) Evolutionary Neural Architecture Search Framework With Masked Encoding Mechanism for Point Cloud Registration

Author(s): Y. Wu, P. Gong, Y. Yuan, M. Gong, W. Ma, Q. Miao

Pages: 2816 - 2828

6) Group Merging Particle Swarm Optimization Algorithm for Rural Base Station Deployment

Author(s): D. Zhu, J. Shen, J. Hu, Z. Ouyang, G. Hu, C. Zhou, J. Zhang, S. Cheng

Pages: 2829 - 2842

7) DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-Based Sentiment Analysis

Author(s): A. Lawan, J. Pu, H. Yunusa, A. Umar, M. Lawan, A. S. Yahaya, M. Basi

Pages: 2843 - 2855

8) Localized Obstacle Avoidance for Robots Based on Dynamic Movement Primitives With an External Force Model

Author(s): C. Qiu, D. Wang, Z. Ju

Pages: 2856 - 2865

9) Multi-Stage Self-Distillation for Class-Imbalanced Anomaly Detection

Author(s): B. Yousefimehr, M. Ghatee, R. Razavi-Far

Pages: 2866 - 2875

10) Spatially Resolved Transcriptomics Data Clustering With Modality Conflict Modulation

Author(s): Y. Xiao, Z. Li, X. Zheng, C. Tang, K. Sun, X. Liu

Pages: 2876 - 2886

11) Carbon Footprint Efficiency Ratio: A Unified Indicator for Green Evaluation of Evolutionary Algorithms

Author(s): M. Yu, H. Yang, X. Wei, S. Fu, J. Xu, J. Zhang

Pages: 2887 - 2900

12) Prescribed-Time Bipartite Synchronization of Fuzzy Signed Networks via Fuzzy Reinforcement Learning

Author(s): T. Dong, Y. Li

Pages: 2901 - 2909

13) Fuzzy Dynamic Hypergraph Neural Network Based on Fused Granule

Author(s): T. Yin, Y. Chen, J. Huang, H. Ju, W. Pedrycz, W. Ding

Pages: 2910 - 2923

14) Unsupervised Regression for Graph-Free and Discrete Clustering

Author(s): Z. Ma, M. Liu, J. Wang, F. Nie, X. Li

Pages: 2924 - 2938

15) A Schema-Guided Constrained Multi-Objective Optimization Evolutionary Algorithm for Multiple Uncrewed Aerial Vehicle Path Planning

Author(s): C. Peng, G. Dong, S. Qiu, F. Gu, H. -L. Liu

Pages: 2939 - 2951

16) Adaptive Primal-Dual Proximal Policy Optimization Lagrange for Multiple USVs Autonomous Collision Avoidance Decision-Making Strategy

Author(s): Z. Cui, W. Guan, S. Hao, S. Qu, X. Zhang

Pages: 2952 - 2967

17) FPF-SNNs: Floating-Point-Free Spiking Neural Networks

Author(s): H. Liu, C. Cai, K. Shi, W. Wei, J. Zhang, W. Chen, M. Zhang, Y. Yang

Pages: 2968 - 2981

18) On-Site Precise Diagnosis of COVID-19 Using an Attention-Based PLS-1D-CNN Model With Biomolecular Infrared Signatures

Author(s): W. Zhang, Z. Tang, Y. Feng, X. Yu, Q. J. Wang, Z. Lin

Pages: 2982 - 2997

19) Edge Filtering Attention Model With Depot-Neighbor Strategy for Multi-Depot Capacitated Arc Routing Problem

Author(s): Y. -H. Jia, Q. Zheng, Y. Wang, Q. Yang, W. -N. Chen, Z. Lin

Pages: 2998 - 3012

20) DFLBN: A Dynamic Fuzzy Learnable Brain Network for Brain Age Estimation

Author(s): W. Ding, J. Wang, T. Zhou, S. Jiang, P. Ping, J. Yang

Pages: 3013 - 3027

21) Analysis of Bursting Oscillations in a TiO2-x Memristive Neuron Circuit

Author(s): F. Yuan, S. Peng, Y. Deng, Y. Li, G. Wang, H. H. -C. Iu

Pages: 3028 - 3037

22) Clustering Based Neural Combinatorial Optimization for Scanning Path Planning of Heterogeneous Multi-Agent System

Author(s): B. Zhao, H. Shi, J. Feng, B. Qi, M. Huo, N. Qi

Pages: 3038 - 3054

23) ODC-KAN: Ocular Disease Classification Using Kolmogorov-Arnold Networks From Fundus Images

Author(s): Preity, A. K. Bhandari, S. Shahnawazuddin

Pages: 3055 - 3063

24) A Chunk-Wise Learning Evolving Autonomous Fuzzy System for Intelligent Data Stream Prediction

Author(s): X. Gu, Q. Ni, Q. Shen

Pages: 3064 - 3078

25) Relevance-Guided Audio Visual Fusion for Video Saliency Prediction

Author(s): L. Yu, X. Sun, P. Gao, M. Gabbouj

Pages: 3079 - 3091

26) Distributed Data-Driven Evolutionary Optimization With Surrogate Ensemble Strategies

Author(s): F. -F. Wei, Q. -Y. Zeng, J. Zhang, W. -N. Chen

Pages: 3092 - 3106

27) A Global-Local Data Clustering Framework With Adaptive Feature and Sample Weighting and Balanced Constraint

Author(s): Y. Peng, M. Jin, Y. Wang, Y. Chen, F. Qin, W. Kong, A. Cichocki

Pages: 3107 - 3120

28) Feedback-Based Modal Mutual Search for Enhanced Adversarial Attacks on Vision-Language Pre-Training Models

Author(s): R. Ding, X. Zhang, X. Yang, K. He

Pages: 3121 - 3134

29) Collaborative Filtering-Augmented Reinforcement Learning Framework for Few-Shot Inductive Learning on Temporal Knowledge Graphs

Author(s): Z. Li, X. Li, C. Liang, Z. Zhang, J. Zhu, S. Zhang, Z. Zheng, B. Hu

Pages: 3135 - 3148

30) Automatic Similarity Feature Combination for Knowledge Graph Alignment via Adaptive-Designed Particle Swarm Optimization With Genetic Programming

Author(s): X. Xue, S. M. Waqas, W. Liu, J. C. -W. Lin

Pages: 3149 - 3165

31) DebriCLIP: Dual-Prior Guided Few-Shot Segmentation of Urban Pavement Debris

Author(s): X. Wang, L. Sun, S. Hu, Y. Yang, K. Hao, M. Gao, J. Pu

Pages: 3166 - 3180

32) Game-Based Deductive Optimization for Spacecraft Avoidance of Detective Threat via HS-NSGA-II

Author(s): C. Qin, Y. Liu, J. Qiu, T. Wang, M. Li

Pages: 3181 - 3192

33) Enhancing Many-Objective Optimization via Objective Reduction and Balanced Search

Author(s): Y. Liu, S. Zhao, X. Wang, J. Zhang, E. Li

Pages: 3193 - 3206

34) A Federated Split Autoencoder for Privacy-Preserving Non-IID Graph Learning

Author(s): K. Guo, K. Gao, Q. Huang, Y. Liang, Y. Jin, K. Chen

Pages: 3207 - 3220

35) An Enhanced Scale-Free Differential Evolution for Dendritic Neural Network Training

Author(s): Y. Yu, T. Zhang, Z. Lei, Z. Wang, Y. Wang, B. Song, S. Gao

Pages: 3221 - 3232

36) A Spiking Neural Network Based Hough Transform Implementation for FPGAs

Author(s): A. Yu, A. Ahmadi, L. MacEachern

Pages: 3233 - 3249

37) PFA-Net: Pyramidal Feature Aggregation Network for Real-Time Human Gait Recognition

Author(s): M. I. Junaid, S. Ari

Pages: 3250 - 3260

38) Probabilistic Federated Learning on Uncertain and Heterogeneous Data With Model Personalization

Author(s): R. Rahman, D. C. Nguyen

Pages: 3261 - 3275

39) Unleashing the Potential of Large Language Models for Dynamic Multiobjective Optimization

Author(s): M. Jiang, H. Wu, Z. Wang, G. G. Yen

Pages: 3276 - 3287

40) TransACO: Transformer-Guided Ant Colony Algorithm for Combinatorial Optimization

Author(s): B. Sun, P. Peng, G. Tan, Y. Song, Y. Tian, W. Pedrycz

Pages: 3288 - 3301

Friday, July 24, 2026

Weekly Review 24 July 2026

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

1. Laptops and smart devices are banned by a law school over concerns of students using AI to cheat: https://www.the-independent.com/tech/laptop-ban-university-ai-backlash-b3013911.html
2. The AI arms race in technical interviews: https://spectrum.ieee.org/technical-interview-ai-arms-race
3. Which jobs are most threatened by AI in New Zealand: https://www.stuff.co.nz/nz-news/361007179/kiwi-jobs-highest-risk-ai-automation
4. South Korea launches a project to build an AI chatbot that all its citizens can use to access government services: https://www.theregister.com/public-sector/2026/07/15/south-korea-to-launch-universal-basic-ai-chatbot/5271566
5. AI data centres are not the blessing for New Zealand that some people say they are: https://www.stuff.co.nz/money/361006005/data-centres-beware-greeks-bearing-gifts
6. Clothing to defeat AI facial recognition systems: https://www.theguardian.com/fashion/2026/jul/17/adversarial-clothing-are-garments-designed-to-confuse-facial-recognition-systems-about-to-go-mainstream
7. An animated font that AI cannot read but humans can: https://www.extremetech.com/internet/ai-cant-read-this-trippy-ghost-font
8. Governments are moving to reduce the number of layoffs caused by AI in call centres: https://www.techtarget.com/searchcustomerexperience/news/366645896/World-leaders-confront-AI-layoffs-more-in-store-for-contact-centers
9. AI can design DNA sequences so that they'll fold into any desired shape: https://spectrum.ieee.org/ai-dna-origami
10. Jailbreaking AI isn't that hard. I had a research student who convinced several to produce phishing emails that couldn't be detected by conventional filters: https://spectrum.ieee.org/jailbreaking-llms
11. References hallucinated by AI continue to appear: https://newsroom.co.nz/2026/07/09/pest-control-report-cites-fake-papers-relying-on-chatgpt-hallucinations/
12. AI is making university faculty more likely to want to retire: https://karenkelsky.substack.com/p/is-ai-making-faculty-more-likely
13. More warnings about the economic impact of the AI bubble bursting: https://futurism.com/artificial-intelligence/ai-bubble-fears-tsmc-nvidia-earnings
14. South Korea is developing its own security AI: https://www.theregister.com/ai-and-ml/2026/07/17/south-korea-making-its-own-security-centric-ai-model/5274034
15. The world's largest open source AI model, with 2.8 trillion parameters: https://www.techrepublic.com/article/news-moonshot-ai-kimi-k3-largest-open-source-model-apac/
16. AI is accelerating the development of quantum computers, which threatens security: https://www.rnz.co.nz/news/business/707600/ai-is-accelerating-quantum-computing-could-our-data-be-vulnerable
17. Australia is establishing an office for AI, to set standards and reduce energy and water usage: https://www.rnz.co.nz/news/world/723387/australia-to-establish-government-ai-office-curb-data-centres-water-use
18. AI is not conscious, but it is developing its own way of thinking: https://www.stuff.co.nz/nz-news/361006118/baffling-discovery-has-scientists-asking-if-ai-already-conscious
19. Improved flash memory can be used to help to speed up recall in AI: https://spectrum.ieee.org/high-bandwidth-flash
20. AI making layoff decisions is not a good idea, when the AI doesn't know about anti-discrimination laws: https://arstechnica.com/tech-policy/2026/07/lawsuit-claims-metas-layoff-decisions-were-made-by-ai-not-humans/
21. It is easy to install backdoors in open AI models: https://www.theregister.com/ai-and-ml/2026/07/16/researcher-poisons-open-weight-ai-model-for-under-100/5273880
22. Salting text into spam emails makes it harder for AI to detect them: https://www.theregister.com/security/2026/07/17/ai-spam-filters-are-getting-suckered-by-old-school-text-salting/5274434
23. More warnings about the economic impact of large scale AI driven job losses: https://futurism.com/artificial-intelligence/economists-warning-ai-job-losses
24. Microsoft is laying off more employees and putting the money into AI: https://www.computerworld.com/article/4196309/with-its-latest-layoffs-microsoft-goes-all-in-on-ai.html

Friday, July 17, 2026

Weekly Review 17 July 2026

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

1. AI data centres are producing an enormous amount of pollution: https://futurism.com/artificial-intelligence/pollution-ai-data-centers-severe
2. Students using AI do not get smarter: https://www.theregister.com/ai-and-ml/2026/07/09/brown-says-ai-make-class-dumb-teacher-must-help-use-better/5269291
3. In Singapore at least, only a tiny minority of workers use AI regularly: https://dataconomy.com/2026/07/08/singapore-workers-ai-daily-usage-6-percent-salesforce/
4. OpenAI won't be the only AI company hit with legal sanctions, they all scraped huge amounts of text for their training data: https://arstechnica.com/tech-policy/2026/07/openai-faked-inability-to-search-training-data-hid-billions-of-logs-nyt-says/
5. An AI that will find an apply for jobs for you. Of course, AI will be screening the applications: https://www.theregister.com/ai-and-ml/2026/07/09/ai-tool-scours-the-web-for-job-openings-preps-your-resume-and-cover-letter/5269410
6. Bad actors continue to use AI to try to extort money from vulnerable people: https://www.rnz.co.nz/news/world/691548/scammers-use-ai-image-to-target-parents-of-wa-missing-man
7. While many people consider AI generated art to be a poor substitute for human-created works, there is a market for it: https://spectrum.ieee.org/ai-art-market
8. A tool to help developers avoid the skills atrophy causes by using AI code generators: https://www.theregister.com/ai-and-ml/2026/07/07/avoid-ai-atrophy-new-tool-promises-to-reverse-vibe-coding-skills-decay/5267913
9. The hardware demands of AI continue to impact memory supplies: https://www.theregister.com/personal-tech/2026/07/08/ai-memory-crunch-takes-a-bite-out-of-pc-shipments/5268593
10. The price of accessing AI continues to drop: https://www.theregister.com/ai-and-ml/2026/07/08/ai-is-becoming-a-bargain-hunters-market-with-a-few-luxury-models-on-top/5268050
11. Experiences with rolling-out AI in the classroom, from the point of view of a CIO: https://www.informationweek.com/digital-transformation/teacher-turned-cto-on-securing-ai-in-the-classroom
12. Stacking die sideways can help increase memory density to better meet the demands of AI: https://spectrum.ieee.org/stacking-chips-sideways
13. Other factors beyond GPU determine AI performance: https://dataconomy.com/2026/07/09/why-ai-performance-depends-on-more-than-gpus/
14. Workers who use AI the most are the most concerned about being replaced by AI: https://www.nzherald.co.nz/business/ai-paradox-new-research-gives-insights-into-ai-behaviour-in-kiwi-workplaces/PRH6CUGAXBDFFB7PKLXNYMINEM/
15. Smaller AI models allow for the use of AI in situations where network connectivity is reduced or absent: https://spectrum.ieee.org/small-language-models-ai-pharmaceuticals
16. AI is pushing language towards a sort of beige averageness: https://www.theguardian.com/books/ng-interactive/2026/jul/04/future-of-fiction-next-great-novel-ai-language-chat-gpt
17. Another AI project misses its carbon emissions reduction goal: https://www.theguardian.com/technology/2026/jul/06/lanarkshire-scotland-ai-datacentre-project-renewable-energy
18. More warning around investing in AI: https://futurism.com/artificial-intelligence/bank-of-america-ai-investors-reality-check
19. Building organisational accountability around AI: https://www.computerworld.com/article/4184169/how-to-make-ai-accountability-stick.html
20. An AI tool for making AI-written academic papers sound less like they were written by AI: https://www.theregister.com/ai-and-ml/2026/07/08/tool-promises-to-make-lazy-academics-ai-written-papers-sound-more-human/5268460
21. Biases in AI are getting bad enough that they're changing the meanings of posts: https://www.theguardian.com/technology/2026/jul/06/ai-altering-meaning-of-users-drafts-on-issues-from-abortion-to-climate-study-finds
22. The majority of longform content on X and Linkedin is AI generated: https://www.theregister.com/ai-and-ml/2026/07/09/ai-slop-writing-has-taken-over-the-internet-particularly-linkedin-and-x/5269525
23. The British NHS is rolling out an AI triage system: https://www.theguardian.com/society/2026/jul/04/nhs-ai-app-patients-appropriate-services-health
24. AI tools now make building botnets trivial: https://arstechnica.com/security/2026/07/hackers-can-use-9-of-the-most-popular-ai-tools-to-assemble-massive-botnets/
25. If reviewers are going to use AI to review papers, then I'm all in favour of the use of tripwires to catch them out: https://www.the-scientist.com/a-trap-for-ai-use-in-peer-reviews-sparks-controversy-74702
26. It turns out that previous AI struggle to use spreadsheets: https://spectrum.ieee.org/large-tabular-models-nexus
27. General AI for robotics continues to advance: https://arstechnica.com/ai/2026/07/robot-workers-rising-how-ai-may-drive-general-purpose-autonomy-in-robotics/

Tuesday, July 14, 2026

Complex & Intelligent Systems, Volume 12, Issue 7, July 2026

1) SpikingMotionFormer: a neuromorphic transformer architecture for low-power recognition of traditional ethnic sports movements

Author(s): Binggang Zhang, Jiacheng Wang, Yang Li

2) Nano-GICP tightly-coupled LIO SLAM with graph optimization

Author(s): Qingyong Zhang, Zhennan Lin, Chengye Lin

3) SAR-ERL: an evolutionary reinforcement learning optimization method based on state–action co-representation embedding

Author(s): Jinchao Li, Guowei Shen, Yunhe Cui

4) HL-MPT: multimodal prototype-guided transformer for hard-landing causal analysis

Author(s): Leming Wu, Riquan Zhang, Yi Wang

5) Electric van-based robot location-routing problem considering mobile charging and split delivery

Author(s): Yi Liu

6) Multimodal emergency vehicle prioritization through vision–audio fusion and attention-enhanced deep learning for smart traffic signal control

Author(s): Vijay U. Rathod, Rohit Shitole, Jibitesh Kumar Panda

7) Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare

Author(s): Nour Ghadban, Jonathan Cooper, Julien Le Kernec

8) FactorMoE: a framework with mixture-of-experts and attention to dynamically combine alpha factors in quantitative investment

Author(s): Zeyu Zheng, Chengji Zhang, Xiaoshuai Zhang

9) Adaptive spatio-temporal graphs with self-supervised pretraining for multi-horizon weather forecasting

Author(s): Yao Liu

10) An L_2,1-regularized cascaded broad learning framework for robust anomaly detection in complex industrial metrology

Author(s): Jianghao Lin, Zongze Wu, Aimin Yang

11) Quantitative evaluation of coal mine dust based on image quality assessment and meta-learning

Author(s): Xingge Guo, Fazhan Yang, Jie Gao

12) Dynamic Mamba with contextual prototypes and point diffusion for weakly supervised segmentation of colorectal cancer pathology images

Author(s): Pei Wang, Jiansong Fan, Wei Chu

13) MoELLA-GNN: a hybrid graph neural framework with reinforcement learning path sampling and expert mixtures

Author(s): Bo Peng, Huan Xu, Xiangjiu Che

14) GLFormer: a hierarchical cross-layer transformer decoding framework with global–local feature collaboration for video action recognition

Author(s): Hanbo Wu, Xin Ma, Rui Song

15) A 3D dynamic window approach with receding horizon optimization for real-time UAV path planning

Author(s): Lingfeng Hu, Jianwei Ma, Shaofei Zang

Monday, July 13, 2026

Evolving Systems, Volume 17, Issue 2, June 2026

1) A modified sand cat swarm optimization algorithm incorporating gold exploration strategy and sparrow alert mechanism

Author(s): Lingzhi Wang, Jiarui Zhao, Ling Zhao

2) Enhancing EMG signals: an approach with optimized adaptive filtering

Author(s): Madhava Rao Alla, Chandan Nayak

3) Computation offloading and scheduling in mobile edge networks and SDN

Author(s): S. Dinesh Kumar, R. M. S. Parvathi

4) POETIC-NET: an augmented contextual feature representation via graph centrality relation for emotion recognition of English poetry

Author(s): Praveen Kumar Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

5) Multi-objective optimization for multi-UAV rendezvous planning in urban environments

Author(s): Lijing Zhang, Jiamin YuHu Zhang

6) YogCNN: an ensemble neural network architecture for yoga asana prediction

Author(s): Monika Singh, S. Indu, N. Jayanthi

7) A multi-objective evolutionary algorithm for optimization of dynamic supplemental light based on fluctuating electricity prices

Author(s): Jan C. Sørensen, Eva Reybroeck, Carl-Otto Ottosen

8) MOMEVO: a modular surrogate-assisted evolutionary framework for efficient multi-objective optimization

Author(s): Rafael Batres, Azul Rosales

9) ITSMixer: iterative time-mixing MLPs for efficient long-term forecasting

Author(s): Arian Lotfi, Siavash Damari

10) MsFuNet: a novel deep learning framework for robust mammogram analysis using context-aware feature pyramid networks and cross-attention feature fusion

Author(s): Satyanarayana Reddy Beram, R. Lalchhanhima, Ksh. Robert Singh

11) Enhanced elite opposition-based manta ray foraging optimization for data clustering

Author(s): Xinhui Cui, Rongrong Yuan, Rui Hu

12) Evolving vector quantization-aware training: an adaptive method for compressing machine learning models

Author(s): Thommas K. S. Flores, Daniel G. Costa, Ivanovitch Silva

13) Adaptive covariance-guided whale optimization with dynamic subspace partitioning for multimodal engineering problems

Author(s): Zhiwu Chen, Hui Chang, Gen Guo

14) An automated MAPE-K analyzer based on a GAN-AutoML approach

Author(s): Sabah Lecheheb, Soufiane Boulehouache, Said Brahimi

15) Adapting language models with continual learning for temporal drifts

Author(s): Antonio Carta, Alberto Roberto Marinelli, Lucia C. Passaro

16) ECTL: deep prediction of learning emotion propagation in smart teaching

Author(s): Zhaoyu Shou, Jingquan Chen, Ziyong Wu

17) Block based ensemble learning on imbalance data stream with concept drift using enhanced particle swarm optimization

Author(s): M. Blessa Binolin Pepsi, N. Senthil Kumar

18) Relocating redundant node based on similarity Graph Neural Network and Deep Neural Network with Remora Optimization in IWSN

Author(s): D. Prabakar, S. Prabu, Shrikant Tiwari

19) Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN

Author(s): Dhairiya Agarwal, Anju Sharma, Prabha Garg

20) A novel scheme for the roughness of neutrosophic fuzzy sets by soft relations over dual universes with application in decision analysis

Author(s): Abubakar Tanveer, Rizwan Gul, Muhammad Shabir

21) Mitigating Linguistic Aggression in Group Decision-Making: A Comparative Analysis of AI-Driven Hostility Detection

Author(s): José Ramón Trillo, Juan Carlos González-Quesada, Ignacio Javier Pérez

22) A neuro Levenberg-Marquardt backpropagation approach for the human liver model

Author(s): Muhammad Umar, Soheil Salahshour, Mohamed Ali

23) Error-weighted drift-adaptive ensemble framework for classification of streaming data

Author(s): Santosh Kumar Ray, Seba Susan

24) Adaptive local outlier factor

Author(s): Muhammad Yunus Iqbal Basheer, Azliza Mohd Ali, Xiaowei Gu

25) Fine-tuning for data-enabled predictive control of noisy systems by reinforcement learning

Author(s): Jinbao Wang, Shiliang Zhang, Haolin Liu

26) Smart energy management: LSTM-based strategies for cost-effective PV-wind microgrid in hospitals application

Author(s): Harini Vaikund, S. G. Srivani

27) Hybrid Fed-QNet: a federated deep learning framework with quantum GANs for privacy-aware plant disease detection

Author(s): V. Brindha Devi, Balika J. Chelliah, S. Dhanasekaran

28) Deep learning based skin lesion detection in dermoscopic images enhanced by ant colony optimization

Author(s): Yashaswini Gowda N, Manjunath R V

29) An enhanced convolutional ResNet architecture with hybrid loss function for multiclass arrhythmia detection

Author(s): Nusrat Jahan, Samrat Kumar Dey, Rashed Mazumder

30) A novel optimized remaining useful life forecasting model for lithium-ion batteries

Author(s): Abhineet Suman, Gunjan Rehani, Sandeep S. Udmale

31) Atrous convolution and fuzzy pooling-based multi-channel CNN model for accurate follicle segmentation

Author(s): Manas Sarkar, Ardhendu Mandal

32) Lightweight block cipher algorithm identification scheme based on transformer

Author(s): Ke Yuan, Chenmeng Zhao, Chunfu Jia

33) Multi-level cross-view contrastive learning for enhanced item intention-aware recommender system

Author(s): Shuqin Zhang, Dashuang Wang, Jizhao Liu

34) A hybrid framework integrating Fuzzy K-means segmentation and CNN feature extraction with SVM kernel for lung cancer classification

Author(s): Potharla Ramadevi, Raja Das

35) An integrated cat swarm rough set optimization algorithm for the detection of cirrhosis disease

Author(s): Madhusmita Mishra, D. P. Acharjya

36) Chaotic dung beetle optimization–enhanced multi-agent deep reinforcement learning for joint task offloading and resource allocation in multi-unmanned aerial vehicle internet of medical things networks

Author(s): Gauri Kalnoor, Vijayalaxmi Kadrolli

37) A novel Schweizer Sklar aggregation framework for fuzzy bipolar soft numbers in multi-criteria decision-making: application to deep learning model evaluation

Author(s): Zia Ullah, Fazli Amin, Afnan Al Agha

38) Deep explainable multimodal framework for detecting war-related misinformation in conflict zones in crisis communication

Author(s): Asif Nawaz

39) Simulating adaptive warfare: insights from the Russia–Ukraine conflict

Author(s): Kishore Dutta

40) Segmentation and germination prediction with crossover-boosted sunflower optimization for precision agriculture

Author(s): Asan Nainar Mohamed Mustafa, Samydurai Arumugam, S. Venkatesh

41) Multidimensional acoustic feature fusion with attention-guided light weighted CNN for improved speaker recognition

Author(s): V. Karthikeyan, S. Suja Priyadharsini

42) Fractional Newton-derived optimizer: a novel metaheuristic for global optimization problems

Author(s): Yangyang Gu, Yaqian Mao, Jianhong Wang

43) Graph attention and multi-neural memory networks for fake news detection: FakeDetectNet framework

Author(s): Dheeraj Kumar Dixit, Dharmendra Dangi, Amit Bhagat

Friday, July 10, 2026

Weekly Review 10 July 2026

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

1. The AI bubble is a lot like the dotcom boom of the 1990s, and when it pops it will take down the global economy: https://www.theregister.com/ai-and-ml/2026/06/29/how-the-ai-bubble-could-pop-and-take-down-the-global-economy-according-to-the-bis/5263793
2. Ford has to re-hire its experienced engineers after AI fails: https://www.theguardian.com/technology/2026/jun/30/ai-backfired-so-ford-had-to-rehire-humans-greybeard-engineers
3. How to add Claude AI to a Python application: https://www.kdnuggets.com/getting-started-with-the-claude-api-in-python
4. The energy demands of AI means Google has once again missed its climate goals: https://futurism.com/artificial-intelligence/google-missed-climate-goals-ai
5. Bills from using AI are starting to get out of control: https://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383
6. AI has made posting pictures of your kids online dangerous: https://www.theguardian.com/society/2026/jul/03/ai-sexual-abuse-fears-uk-parents-warned-posting-images-children-national-crime-agency
7. A manager's obsessive use of AI leads to employees quitting: https://futurism.com/artificial-intelligence/bosses-obsessed-with-ai
8. What it really means when AI are described as "stochastic parrots": https://spectrum.ieee.org/stochastic-parrot
9. International collaboration on AI is needed before it has its "Chernobyl moment": https://futurism.com/artificial-intelligence/ai-chernobyl-moment
10. The pros and cons of AI fitness coaches: https://www.rnz.co.nz/life/wellbeing/ai-can-be-a-personal-trainer-in-your-pocket-but-is-it-safeThe
11. People who use AI the most to answer health questions are also the most likely to fall for anti-vax lies: https://www.theguardian.com/technology/2026/jun/30/ai-chatbot-use-anti-vaccine-myths-poll
12. A lawsuit over defamatory claims hallucinated by an AI: https://www.theregister.com/legal/2026/07/02/startup-sues-palo-alto-networks-koi-security-saying-an-ai-hallucinated-report-falsely-linked-it-to-chinese-espionage/5266201
13. Even ivy-league students will use AI to cheat: https://futurism.com/artificial-intelligence/brown-university-professor-cheating-scandal-ivy-league
14. If lazy university administrators continue to use a simple metric to measure academics' performance, academics will game that metric: https://www.the-scientist.com/a-researcher-s-suspiciously-high-h-index-revealed-a-vast-citation-ring-74625
15. Generative AI is really messing up the research grant application system: https://www.insidehighered.com/news/faculty/research/2026/07/02/new-ai-agents-pose-existential-threat-grant-awarding
16. The demands of AI are shortening the development cycle of chips: https://spectrum.ieee.org/ai-chip-design-fab-ucla
17. The problem with AI browsers is that websites can break their guard rails: https://arstechnica.com/security/2026/06/ai-browsers-can-be-lulled-into-a-dream-world-where-guardrails-no-longer-apply/
18. An overview of Claude Sonnet 5: https://www.techrepublic.com/article/news-claude-sonnet-5-everything-you-need-to-know/
19. AI puts so much demand on databases, we need AI to run the databases: https://www.theregister.com/ai-and-ml/2026/06/30/ai-agents-cause-of-database-sprawl-and-also-the-proposed-solution/5264430
20. AI will make inequality worse than it is now: https://www.theguardian.com/technology/2026/jul/01/un-report-ai-inequality
21. AI can find security vulnerabilities, but a lot of vulnerabilities are caused by basic stupidity: https://www.theregister.com/security/2026/06/29/ai-may-be-good-at-finding-security-vulnerabilities-but-it-cant-beat-human-stupidity/5263262
22. It's still possible to trick an AI into breaking its guard rails: https://www.theregister.com/ai-and-ml/2026/06/30/security-researchers-tricked-llms-into-giving-them-cocaine-recipes-by-abusing-role-models-for-prompt-injection/5264115
23. AI cannot yet draft a solid will: https://www.theregister.com/ai-and-ml/2026/06/30/where-theres-a-will-ai-still-has-work-to-do/5264033
24. Conventional IT governance approaches are not suitable for AI: https://www.informationweek.com/it-leadership/the-hidden-costs-cios-face-to-make-data-ai-ready
25. Cloudflare is now blocking AI web crawlers: https://dataconomy.com/2026/07/03/cloudflare-will-block-ai-crawlers-unless-sites-opt-in/
26. Companies that add AI end up adding more people, but not right away: https://www.theregister.com/ai-and-ml/2026/07/02/companies-that-add-more-ai-also-add-more-people/5266134

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