Computational Intelligence

Training an AI on AI-generated data will eventually break the AI: https://futurism.com/ai-trained-ai-generated-data
Mark Zuckerberg is one of the people I would trust the least with an artificial general intelligence: https://www.theregister.com/2024/01/20/metas_ai_plans/
A theory inspired by over-fitting in neural networks is that dreaming helps to prevent over-fitting in our brains: https://www.discovermagazine.com/mind/how-artificial-neural-networks-paved-the-way-for-a-dramatic-new-theory-of
5% of the text doesn't seem like a lot - and how is using generative AI to help with writing any different to using a spell checker or a grammar checker? https://edition.cnn.com/2024/01/19/style/rie-kudan-akutagawa-prize-chatgpt/index.html
An AI-based therapy bot for people with tinnitus https://www.extremetech.com/science/researchers-test-ai-based-therapy-app-for-people-with-tinnitus
I'd rather an entire country's worth of electricity be used to train AI than the same power used to mine cryptocurrency. But I just don't have a lot of confidence that fusion is going to solve this problem: https://futurism.com/sam-altman-energy-breakthrough
Is certification going to solve the problems around AI training data using copyrighted material? I think that's going to depend on the outcome of the legal action being taken against AI companies: https://www.theregister.com/2024/01/19/fairly_trained_ai_certification_scheme/
Small language models train faster and better than large ones. But where does the data come from? Large language models. A clever idea, but I worry that it might lead to further embedding biases into models: https://www.quantamagazine.org/tiny-language-models-thrive-with-gpt-4-as-a-teacher-20231005/
Some more predictions on where AI is going to go this year: https://www.informationweek.com/data-management/solarwinds-vp-offers-2024-predictions-on-ai
An AI can now solve geometry problems: https://www.technologyreview.com/2024/01/17/1086722/google-deepmind-alphageometry/
Google is going to lay off more staff as it leverages AI even more: https://futurism.com/the-byte/google-ceo-ai-pivot-layoffs
I like using AI to detect potential skin cancers, but the device is tied to a subscription service - what happens if the vendor goes out of business? Do all these diagnostic tools stop working? https://www.theregister.com/2024/01/19/fda_skin_cancer/
Some students' perceptions on how AI is going to affect their future careers: https://www.insidehighered.com/news/student-success/life-after-college/2024/01/10/survey-college-students-thoughts-ai-and-careers
A focus on profit above all else leads to missteps like using AI to write articles, which quickly erodes brand value, which leads to reduced income, which leads to more cost cutting: https://futurism.com/sports-illustrated-layoffs-ai
British artists are also taking action against generative AI companies: https://www.theguardian.com/technology/2024/jan/21/we-need-to-come-together-british-artists-team-up-to-fight-ai-image-generating-software
I think it was Timnit Gebru who described modern AI as "stochastic parrots". It's not surprising that even small children are better innovators than AI are: https://futurism.com/children-destroy-ai-basic-tasks
Using neural networks to find the mechanisms by which RNA transcription is halted: https://spectrum.ieee.org/ai-genetics-rna-transcription
A robot learned to walk using reinforcement learning: https://www.technologyreview.com/2022/07/18/1056059/robot-dog-ai-reinforcement/
AI features prominently in this list of seven emerging technologies: https://www.nature.com/articles/d41586-024-00173-x
The internet is full of AI generated content, translated by AI. Non-English languages are particularly affected by this: https://futurism.com/the-byte/internet-ai-generated-slime
AI are now coming up with their own steganography methods: https://futurism.com/the-byte/ai-secret-messages-text-imperceptible
Gizmodo compares four different AI image generators: https://gizmodo.com/dalle-midjourney-imagine-with-meta-playground-ai-test-1851078719
A how-to guide from the US government on acquiring AI systems: https://spectrum.ieee.org/guide-on-acquiring-ai-systems
It's very simple: humans innovate, while AI imitates. There are types of AI that can produce novel solutions to problems, but they need to be told in great detail what the problem is first: https://futurism.com/altman-stumped-humans-better-ai

Thursday, January 25, 2024

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Issue 1, February 2024

1) Deep Contrastive Representation Learning With Self-Distillation

Author(s): Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu

Pages: 3 - 15

2) Joint Multi-View Unsupervised Feature Selection and Graph Learning

Author(s): Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang

Pages: 16 - 31

3) Improved Differentiable Architecture Search With Multi-Stage Progressive Partial Channel Connections

Author(s): Yu Xue, Changchang Lu, Ferrante Neri, Jiafeng Qin

Pages: 32 - 43

4) Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks

Author(s): Aristotelis Ballas, Christos Diou

Pages: 44 - 54

5) TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation

Author(s): Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, Adams Wai Kin Kong

Pages: 55 - 68

6) A Cross-Level Interaction Network Based on Scale-Aware Augmentation for Camouflaged Object Detection

Author(s): Ming Ma, Bangyong Sun

Pages: 69 - 81

7) A Swarm Intelligence Assisted IoT-Based Activity Recognition System for Basketball Rookies

Author(s): Yu Zhou, Ruiqi Wang, Yufan Wang, Shilong Sun, Jiafeng Chen, Xiao Zhang

Pages: 82 - 94

8) An Hybrid Local Search for the Direct Aperture Optimisation Problem

Author(s): Mauricio Moyano, Guillermo Cabrera-Guerrero, Gonzalo Tello-Valenzuela, Carolina Lagos

Pages: 95 - 109

9) Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration

Author(s): Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao

Pages: 110 - 125

10) Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework

Author(s): Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz

Pages: 126 - 139

11) Memristor-Based CNNs for Detecting Stress Using Brain Imaging Signals

Author(s): SuJin Bak, Jinwoo Park, Jaehoon Lee, Jichai Jeong

Pages: 140 - 149

12) Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification

Author(s): Kai-Yuan Feng, Maoguo Gong, Ke Pan, Hongyu Zhao, Yue Wu, Kai Sheng

Pages: 150 - 163

13) 3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks

Author(s): Mayank Lovanshi, Vivek Tiwari, Swati Jain

Pages: 164 - 174

14) A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data

Author(s): Rui Yin, Wei Lu, Jianhua Yang

Pages: 175 - 190

15) A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm

Author(s): Qiqi Liu, Yuping Yan, Péter Ligeti, Yaochu Jin

Pages: 191 - 205

16) Super Neurons

Author(s): Serkan Kiranyaz, Junaid Malik, Mehmet Yamac, Mert Duman, Ilke Adalioglu, Esin Guldogan, Turker Ince, Moncef Gabbouj

Pages: 206 - 228

17) Adaptive Trust Model for Multi-Agent Teaming Based on Reinforcement-Learning-Based Fusion

Author(s): Chin-Teng Lin, Haichao Zhang, Liang Ou, Yu-Cheng Chang, Yu-Kai Wang

Pages: 229 - 239

18) Mutually Adaptable Learning

Author(s): Qi Tan, Yang Liu, Jiming Liu

Pages: 240 - 254

19) Adaptive Indoor People-Counting System Based on Edge AI Computing

Author(s): Mao-Hsu Yen, Bor-Shyh Lin, Yu-Lun Kuo, I-Jung Lee, Bor-Shing Lin

Pages: 255 - 263

20) Self-Learning Modeling in Possibilistic Model Checking

Author(s): Wuniu Liu, Qing He, Zhihui Li, Yongming Li

Pages: 264 - 278

21) Multiplierless Implementation of Fitz-Hugh Nagumo (FHN) Modeling Using CORDIC Approach

Author(s): Saeed Haghiri, Salah I. Yahya, Abbas Rezaei, Arash Ahmadi

Pages: 279 - 287

22) MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System

Author(s): Bin Yu, Hengjie Xie, Mingjie Cai, Weiping Ding

Pages: 288 - 299

23) Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity

Author(s): Gang Yue, Zhuo Sun, Jinpo Fan

Pages: 300 - 312

24) Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation

Author(s): Hao-Tian Wu, Xin Cao, Ying Gao, Kaihan Zheng, Jiwu Huang, Jiankun Hu, Zhihong Tian

Pages: 313 - 326

25) Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data

Author(s): Xingchen Li, Xianlun Tang, Sichao Qiu, Xin Deng, Huiming Wang, Yin Tian

Pages: 327 - 336

26) Objective Extraction for Simplifying Many-Objective Solution Sets

Author(s): Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang

Pages: 337 - 349

27) Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification

Author(s): Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, Zhifeng Hao

Pages: 350 - 363

28) A Time-Varying Fuzzy Parameter Zeroing Neural Network for the Synchronization of Chaotic Systems

Author(s): Jie Jin, Weijie Chen, Aijia Ouyang, Fei Yu, Haiyan Liu

Pages: 364 - 376

29) A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems

Author(s): Jing-Yu Ji, Zusheng Tan, Sanyou Zeng, Eric W. K. See-To, Man-Leung Wong

Pages: 377 - 388

30) Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems

Author(s): Yong Zhang, Chaoxu Mu, Dongbin Zhao

Pages: 389 - 400

31) Multi-Label Feature Selection via Positive or Negative Correlation

Author(s): Yaojin Lin, Zhuoxin He, Lei Guo, Weiping Ding

Pages: 401 - 415

32) Data-Driven Fault-Tolerant Reinforcement Learning Containment Control for Nonlinear Multiagent Systems

Author(s): Xin Wang, Chen Zhao, Tingwen Huang

Pages: 416 - 426

33) RARSMSDou: Master the Game of DouDiZhu With Deep Reinforcement Learning Algorithms

Author(s): Qian Luo, Tien-Ping Tan

Pages: 427 - 439

34) Guiding Solution Based Local Search for Obstacle-Avoiding Rectilinear Steiner Minimal Tree Problem

Author(s): Tiancheng Zhang, Zhipeng Lü, Junwen Ding

Pages: 440 - 453

35) A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance

Author(s): Qiongdan Lou, Zhaohong Deng, Qingbing Sang, Zhiyong Xiao, Kup-Sze Choi, Shitong Wang

Pages: 454 - 473

36) Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy

Author(s): Dayu Tan, Zhiyuan Yao, Xin Peng, Haiping Ma, Yike Dai, Yansen Su, Weimin Zhong

Pages: 474 - 487

37) Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning

Author(s): Huiting Li, Yaochu Jin, Tianyou Chai

Pages: 488 - 502

38) Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs

Author(s): Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang

Pages: 503 - 518

39) Fractional-Order Echo State Network Backstepping Control of Fractional-Order Nonlinear Systems

Author(s): Heng Liu, Jiangteng Shi, Jinde Cao, Yongping Pan

Pages: 519 - 532

40) Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction

Author(s): Tinghuai Ma, Kexing Peng, Huan Rong, Yurong Qian, Najla Al-Nabhan

Pages: 533 - 547

41) Event-Based Deep Reinforcement Learning for Quantum Control

Author(s): Haixu Yu, Xudong Zhao

Pages: 548 - 562

42) Bifurcations Due to Different Neutral Delays in a Fractional-Order Neutral-Type Neural Network

Author(s): Chengdai Huang, Heng Liu, Tingwen Huang, Jinde Cao

Pages: 563 - 575

43) Growing Neural Gas Network for Offspring Generation in Evolutionary Constrained Multi-Objective Optimization

Author(s): Chao Wang, Huitao Huang, Xingyi Zhang

Pages: 576 - 590

44) Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement

Author(s): Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen

Pages: 591 - 603

45) Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients

Author(s): Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang

Pages: 604 - 614

46) Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization

Author(s): Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai

Pages: 615 - 626

47) Mutual Information Guided Financial Report Generation With Domain Adaption

Author(s): Ziao Wang, Xiaofeng Zhang, Hongwei Du

Pages: 627 - 640

48) Cross-Device OCTA Generation by Patch-Based 3D Multi-Scale Feature Adaption

Author(s): Kun Huang, Na Su, Yuhui Tao, Mingchao Li, Xiao Ma, Zexuan Ji, Songtao Yuan, Qiang Chen

Pages: 641 - 653

49) A Quaternion-Valued Neural Network Approach to Nonsmooth Nonconvex Constrained Optimization in Quaternion Domain

Author(s): Jingxin Liu, Xiaofeng Liao, Jin-Song Dong

Pages: 654 - 669

50) Robust Image Hashing in Encrypted Domain

Author(s): Xinran Li, Mengqi Guo, Zichi Wang, Jian Li, Chuan Qin

Pages: 670 - 683

51) MMPL: Multi-Objective Multi-Party Learning via Diverse Steps

Author(s): Yuanqiao Zhang, Maoguo Gong, Yuan Gao, Hao Li, Lei Wang, Yixin Wang

Pages: 684 - 696

52) Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning

Author(s): Shu-Juan Peng, Ye Fan, Yiu-ming Cheung, Xin Liu, Zhen Cui, Taihao Li

Pages: 697 - 709

53) Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images

Author(s): Rahul Kumar Jain, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xiang Ruan, Yen-Wei Chen

Pages: 710 - 723

54) Deep Image Feature Learning With Fuzzy Rules

Author(s): Xiang Ma, Liangzhe Chen, Zhaohong Deng, Peng Xu, Qisheng Yan, Kup-Sze Choi, Shitong Wang

Pages: 724 - 737

55) Self-Supervised Pretraining Based on Noise-Free Motion Reconstruction and Semantic-Aware Contrastive Learning for Human Motion Prediction

Author(s): Qin Li, Yong Wang

Pages: 738 - 751

56) Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms

Author(s): Junfeng Wu, Guangyan Huang, Hui Zheng, Guang-Li Huang, Borui Cai, Chi-Hung Chi, Jing He

Pages: 752 - 761

57) Evolutionary Multitasking via Reinforcement Learning

Author(s): Shuijia Li, Wenyin Gong, Ling Wang, Qiong Gu

Pages: 762 - 775

58) Multi-Stage Salient Object Detection in 360° Omnidirectional Image Using Complementary Object-Level Semantic Information

Author(s): Gang Chen, Feng Shao, Xiongli Chai, Qiuping Jiang, Yo-Sung Ho

Pages: 776 - 789

59) Joint Sparse Locality Preserving Regression for Discriminative Learning

Author(s): Weilin Huang, Zhihui Lai, Heng Kong, Junhong Zhang

Pages: 790 - 801

60) PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification

Author(s): Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain

Pages: 802 - 813

61) An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification

Author(s): Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu

Pages: 814 - 827

62) Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification

Author(s): Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, C.L. Philip Chen

Pages: 828 - 839

63) Research on Motion Capture and Phase Segmentation Based on Wireless Body Sensor Networks in Competitive Equestrian

Author(s): Jie Li, Zhelong Wang, Xu Zhou, Xiaofeng Liu

Pages: 840 - 854

64) CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution

Author(s): Tao Dai, Mengxi Ya, Jinmin Li, Xinyi Zhang, Shu-Tao Xia, Zexuan Zhu

Pages: 855 - 865

65) HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series

Author(s): Weiwei Lin, Songbo Wang, Wentai Wu, Dongdong Li, Albert Y. Zomaya

Pages: 866 - 878

66) Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision

Author(s): Yi-Zeng Hsieh, Po-Yen Lee

Pages: 879 - 891

67) Multi-View Projection Based Joint Geometry and Color Hole Repairing Method for G-PCC Trisoup Encoded Color Point Cloud

Author(s): Wenxu Tao, Gangyi Jiang, Mei Yu, Yun Zhang, Zhidi Jiang, Yo-Sung Ho

Pages: 892 - 902

68) Evolving Fuzzy Prediction Intervals in Nonstationary Environments

Author(s): Oscar Cartagena, Francesco Trovò, Manuel Roveri, Doris Sáez

Pages: 903 - 916

69) Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical Images

Author(s): Xiaoming Liu, Jingling Pan, Xiao Li, Xiangkai Wei, Zhipeng Liu, Zhifang Pan, Jinshan Tang

Pages: 917 - 929

70) Hierarchical Semantic Knowledge-Based Object Search Method for Household Robots

Author(s): Mengyang Zhang, Guohui Tian, Yongcheng Cui, Ying Zhang, Zhenhua Xia

Pages: 930 - 941

71) Towards Scalable Dynamic Traffic Assignment With Streaming Agents: A Decentralized Control Approach Using Genetic Programming

Author(s): Xiao-Cheng Liao, Wei-Neng Chen, Ya-Hui Jia, Wen-Jin Qiu

Pages: 942 - 955

72) Multi-Party Privacy-Preserving Faster R-CNN Framework for Object Detection

Author(s): Ruonan Wang, Min Luo, Qi Feng, Cong Peng, Debiao He

Pages: 956 - 967

73) Self-Adaptive Deep Asymmetric Network for Imbalanced Recommendation

Author(s): Yi Zhu, Yishuai Geng, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu

Pages: 968 - 980

74) Learning the Color Space for Effective Fabric Defect Detection

Author(s): Chenkai Zhang, Yu Qi, Yueming Wang

Pages: 981 - 991

75) Optimal Fuzzy Intensification System for Contrast Distorted Medical Images

Author(s): Bharath Subramani, Magudeeswaran Veluchamy, Ashish Kumar Bhandari

Pages: 992 - 1002

76) Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations

Author(s): Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang

Pages: 1003 - 1014

77) Domain Adaptation for In-Air to Underwater Image Enhancement via Deep Learning

Author(s): Xuewen Bing, Wenqi Ren, Yang Tang, Gary G. Yen, Qiyu Sun

Pages: 1015 - 1029

78) DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task

Author(s): Ziming He, Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang

Pages: 1030 - 1043

79) Universal Quintuple Implicational Algorithm: A Unified Granular Computing Framework

Author(s): Yiming Tang, Jingjing Chen, Witold Pedrycz, Fuji Ren, Li Zhang

Pages: 1044 - 1056

80) Attention-Based Methods for Emotion Categorization From Partially Covered Faces

Author(s): Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

Pages: 1057 - 1070

Friday, January 19, 2024

Weekly Review 19 January 2024

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

Reading a neural network's thoughts can be used to add an extra layer of safety to the operations of AI: https://www.science.org/content/article/artificial-intelligence-may-benefit-talking-itself
Why open source AI is less secure, and what we can do about it: https://spectrum.ieee.org/open-source-ai-2666932122
Some predictions about what is going to be happening with AI in 2024: https://www.technologyreview.com/2024/01/04/1086046/whats-next-for-ai-in-2024/
Of course AI can't replace human leaders and managers. Management, and leadership, is about people, not processes. It requires understanding and empathy, and so far only people can do that: https://hbr.org/2024/01/the-best-leaders-cant-be-replaced-by-ai
Isn't this just the AI version of people copy-pasting the output of translation software, without understanding what it says? https://arstechnica.com/ai/2024/01/lazy-use-of-ai-leads-to-amazon-products-called-i-cannot-fulfill-that-request/
How businesses can take advantage of generative AI: https://hbr.org/2024/01/turn-generative-ai-from-an-existential-threat-into-a-competitive-advantage
A more power-efficient chip for AI: https://spectrum.ieee.org/neuchips-low-power-ai
Synthetic data can be used to overcome problems with bias and the cost of gathering data. But if it's not done carefully, biases can become even more entrenched: https://www.quantamagazine.org/neural-networks-need-data-to-learn-even-if-its-fake-20230616/
It is very dangerous for Wall Street to rely too heavily on AI: https://www.datanami.com/2024/01/12/consumer-watchdog-report-wall-street-ai-could-cause-financial-crisis/
Deep neural networks and other highly-parameterised AI models aren't necessary for many applications, a simpler model can work just as well: https://www.kdnuggets.com/are-we-undervaluing-simple-models
The business forces driving the adoption of generative AI: https://hbr.org/2023/12/5-forces-that-will-drive-the-adoption-of-genai
Using machine learning to construct chemical structures from X-ray images: https://spectrum.ieee.org/synchrotron-x-ray
"A collision's a near miss! "Look, they nearly missed." "Yes, but not quite!"" George Carlin was a brilliant comic, I find it quite ghoulish that they've resurrected him with AI: https://dataconomy.com/2024/01/12/george-carlin-ai-criticism-daughter/
I don't agree that a large language model must be trained using copyright material. The more salient question is whether using that material is transformative and/or fair use: https://www.extremetech.com/internet/openai-claims-its-impossible-to-train-ai-models-without-copyrighted-materials
Let me know when an AI robot can do something that a three-year-old couldn't do for the price of a lollipop: https://techcrunch.com/2024/01/15/elons-tesla-robot-is-sort-of-ok-at-folding-laundry-in-pre-scripted-demo/
Three ways to spot if an online article has been written by AI: https://gizmodo.com/how-to-spot-ai-written-content-1851106624
The Australian government is also looking at restrictions on AI research: https://www.computerworld.com/article/3712166/australia-evaluates-compulsory-guardrails-to-ensure-safer-ai.html
It looks like "AI washing" is still going on at breakneck pace: https://www.theverge.com/2024/1/13/24035152/ces-generative-ai-hype-robots
Using neural networks to relate prints from one finger to prints on other fingers. But the whole thing seems to be based on an invalid assumption. AI is a set of algorithms, not magic: https://www.science.org/content/article/do-prints-two-different-fingers-belong-same-person-ai-can-tell
Automating protein engineering with AI. I'm pretty sure the William Gibson short story New Rose Hotel involved something like that: https://www.nature.com/articles/d41586-024-00093-w
Makes it sound like big tech firms haven't always recklessly pursued profits. How is it different if that profit comes from AI? https://www.theguardian.com/business/2024/jan/17/big-tech-firms-ai-un-antonio-guterres-davos
When people think that a serial fraudster, sex offender, wannabe dictator is a good candidate for President of the USA, disinformation from AI is the least of our political worries: https://www.theregister.com/2024/01/17/ai_political_disinformation/
Should using generative AI be a part of your daily routine? Personally, I like working things out for myself: https://www.insidehighered.com/opinion/blogs/online-trending-now/2024/01/17/integrating-generative-ai-daily-work-and-personal-life
Evaluating the risk of developing pancreatic cancer using AI: https://www.technologyreview.com/2024/01/17/1086730/a-new-ai-based-risk-prediction-system-could-help-catch-deadly-pancreatic-cancer-cases-earlier/

Saturday, January 13, 2024

Soft Computing. Volume 28, Issue 2, January 2024

1) Coloring in essential annihilating-ideal graphs of commutative rings

Author(s): R. Nikandish, M. Mehrara, M. J. Nikmehr

Pages: 875 - 881

2) A class of cancellable L-algebras

Author(s): Xianglong Ruan

Pages: 883 - 886

3) Development of single linear induction motor for high-speed transit system

Author(s): V. Shirish Murty, Shailendra Jain, Amit Ojha

Pages: 887 - 902

4) Relational correspondences for L-fuzzy rough approximations defined on De Morgan Heyting algebras

Author(s): Jouni Järvinen, Michiro Kondo

Pages: 903 - 916

5) Total edge irregularity strength for special types of square snake graphs

Author(s): F. Salama, H. Rafat, H. Attiya

Pages: 917 - 927

6) Expressing and fusion computing of uncertain or imprecise digital information of multi-channel discrete quantity

Author(s): Tengfei Wang, Peng Shi

Pages: 929 - 943

7) Fuzzy approximation theorems via power series summability methods in two variables

Author(s): Digvijay Singh, Karunesh Kumar Singh

Pages: 945 - 953

8) Continuous lattices in formal concept analysis

Author(s): Lingjuan Yao, Shengwen Wang, Mingjie Cai

Pages: 955 - 962

9) SFD-SR: strengthened feature description and stabilized re-detection-based infrared small–dim target tracking algorithm

Author(s): Zehao Li, Shouyi Liao, Tong Zhao

Pages: 963 - 979

10) A novel spectral clustering algorithm based on neighbor relation and Gaussian kernel function with only one parameter

Author(s): Hao Zhou, Zekun Wang, Xiang Wang

Pages: 981 - 989

11) Hybrid multi-objective metaheuristic and possibilistic intuitionistic fuzzy c-means algorithms for cluster analysis

Author(s): R. J. Kuo, C. C. Hsu, C. Y. Tsai

Pages: 991 - 1008

12) Convolutional neural network incorporating misclassification information for image recognition

Author(s): Junying Hu, Rongrong Fei, Jiangshe Zhang

Pages: 1009 - 1021

13) Hybrid genetic algorithm and support vector regression for predicting the shear capacity of recycled aggregate concrete beam

Author(s): Chun-Song Jiang, Xuan Chen, Gui-Qin Liang

Pages: 1023 - 1039

14) Can LSH (locality-sensitive hashing) be replaced by neural network?

Author(s): Renyang Liu, Jun Zhao, Jing He

Pages: 1041 - 1053

15) Performance assessment and fitness analysis of athletes using decision tree and data mining techniques

Author(s): Qiuqi Yu

Pages: 1055 - 1072

16) The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators’ effectiveness

Author(s): Ali Husseinzadeh Kashan, Somayyeh Karimiyan, Anand J. Kulkarni

Pages: 1073 - 1125

17) An improved arithmetic optimization algorithm with hybrid elite pool strategies

Author(s): Haiyang Liu, Xingong Zhang, Zhaohui Chen

Pages: 1127 - 1155

18) An improved rough set strategy-based sine cosine algorithm for engineering optimization problems

Author(s): Rizk M. Rizk-Allah, E. Elsodany

Pages: 1157 - 1178

19) A novel robust probabilistic chance constrained programming and strategic analysis for Agri-food closed-loop supply chain under pandemic crisis

Author(s): Misagh Rahbari, Alireza Arshadi Khamseh, Mohammad Mohammadi

Pages: 1179 - 1214

20) An acceleration-based prediction strategy for dynamic multi-objective optimization

Author(s): Junxi Zhang, Shiru QuYang Bi

Pages: 1215 - 1228

21) Multi-objective optimization of MQL system parameters for the roller burnishing operation for energy saving, product quality and air pollution

Author(s): An-Le Van, Trung-Thanh Nguyen, Phan-Nguyen Huu

Pages: 1229 - 1254

22) A big data and neural networks driven approach to design students management system

Author(s): Jingjing Fan

Pages: 1255 - 1276

23) Enhancing the college and university physical education teaching and learning experience using virtual reality and particle swarm optimization

Author(s): Jian Wang, Yulin Yang, Lizhu Jiang

Pages: 1277 - 1294

24) Enhancing super resolution of oil painting patterns through optimization of UNet architecture model

Author(s): Yun Chang

Pages: 1295 - 1316

25) Transforming urban industrial wastelands using a CNN-based land classification model

Author(s): Shengjie Xi

Pages: 1317 - 1335

26) Stacking-based ensemble learning for remaining useful life estimation

Author(s): Begum Ay Ture, Akhan Akbulut, Cagatay Catal

Pages: 1337 - 1349

27) A novel hybrid architecture for MPPT of PV array under partial shading conditions

Author(s): Rahul Bisht, Afzal Sikander

Pages: 1351 - 1365

28) An improved bald eagle search optimization algorithm for optimal home energy management systems

Author(s): Heba Youssef, Salah Kamel, Francisco Jurado

Pages: 1367 - 1390

29) Prediction of compressive strength of BFRC using soft computing techniques

Author(s): Fadi Almohammed, Mohindra S. Thakur

Pages: 1391 - 1408

30) An interval type-2 fuzzy ELECTRE approach for assessing ballast water treatment systems for ships

Author(s): Veysi Başhan, Hakan Demirel, Ahmet Kaya

Pages: 1409 - 1423

31) Prediction of Marshall stability of asphalt concrete reinforced with polypropylene fibre using different soft computing techniques

Author(s): Samrity Jalota, Manju Suthar

Pages: 1425 - 1444

32) Feature selection based on correlation label and B-R belief function (FSCLBF) in multi-label data

Author(s): Zahra Mehravaran, Javad Hamidzadeh, Reza Monsefi

Pages: 1445 - 1457

33) An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times

Author(s): Mary Jiménez Tovar, Jaime Acevedo-Chedid, Shib Sankar Sana

Pages: 1459 - 1489

34) An interdisciplinary educational path to understand the economic phenomena of a fluid and complex world with mathematics

Author(s): Giovanna Bimonte, Francesco Saverio Tortoriello, Ilaria Veronesi

Pages: 1491 - 1501

35) Nature-inspired metaheuristic methods in software testing

Author(s): Niloofar Khoshniat, Amirhossein Jamarani, Ebrahim Mahdipour

Pages: 1503 - 1544

36) A systematic review of Arabic text classification: areas, applications, and future directions

Author(s): Ahlam Wahdan, Mostafa Al-Emran, Khaled Shaalan

Pages: 1545 - 1566

37) Improving physical education through innovative multimedia learning platform and data-driven instruction

Author(s): Guo Li, Jing Liu

Pages: 1567 - 1584

38) Integrated framework to integrate Spark-based big data analytics and for health monitoring and recommendation in sports using XGBoost algorithm

Author(s): Yin Zhao, Ma. Finipina Ramos, Bin Li

Pages: 1585 - 1608

39) IoT-inspired teaching for legal education: AI-based learning based on decision tree algorithm

Author(s): Zezheng Huang

Pages: 1609 - 1631

40) Accelerating autonomy: an integrated perception digital platform for next generation self-driving cars using faster R-CNN and DeepLabV3

Author(s): Yan Zhang, Qianjun Tang

Pages: 1633 - 1652

41) Tracking and detection of basketball movements using multi-feature data fusion and hybrid YOLO-T2LSTM network

Author(s): Xiaofei Li, Ronghua Luo, Faiz Ul Islam

Pages: 1653 - 1667

42) Designing of music copyright protection system based on deep belief network and blockchain

Author(s): Qi Fang

Pages: 1669 - 1684

43) Integrating genetic algorithm with ARIMA and reinforced random forest models to improve agriculture economy and yield forecasting

Author(s): Yunli Guo

Pages: 1685 - 1706

44) A fuzzy clustering approach for cloud-based personalized distance music education and resource management

Author(s): Lei Jiang

Pages: 1707 - 1724

45) IoT-enabled co-integration analysis of foreign trade and environmental sustainability in Quanzhou city

Author(s): Min Zhao

Pages: 1725 - 1741

46) Integrating eco-environment impact and eco-tourism using deep neural network algorithms in the GIoT environment

Author(s): Hui Li

Pages: 1743 - 1764

47) ML-IDS: an efficient ML-enabled intrusion detection system for securing IoT networks and applications

Author(s): Mohammed Al-Ambusaidi, Zhang Yinjun, Abid Yahya

Pages: 1765 - 1784

48) Music content personalized recommendation system based on a convolutional neural network

Author(s): Rui Hou

Pages: 1785 - 1802

49) WBNN: a weight-based next neighbor selection algorithm for wireless body area network

Author(s): Yuejuan Jing, Han Peng, Zhouzhou Liu

Pages: 1803 - 1818

50) Prediction and detection of harvesting stage in cotton fields using deep adversarial networks

Author(s): Ch. Gangadhar, R. Reji, D. Kavitha

Pages: 1819 - 1831

Computational Intelligence

Tuesday, February 6, 2024

Soft Computing, Volume 28, Issue 4, February 2024

Monday, February 5, 2024

Soft Computing, Volume 28, Issue 3, February 2024

Friday, February 2, 2024

Weekly Review 2 February 2024

Evolving Systems, Volume 15, Issue 1, February 2024

Thursday, February 1, 2024

IEEE Transactions on Evolutionary Computation, Volume 28, Issue 1, February 2024

Friday, January 26, 2024

Weekly Review 26 January 2024

Thursday, January 25, 2024

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Issue 1, February 2024

Friday, January 19, 2024

Weekly Review 19 January 2024

Saturday, January 13, 2024

Soft Computing. Volume 28, Issue 2, January 2024

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