AI in Environmental, Conservation and Geospatial Applications Artificial intelligence (AI) offers promising solutions to critical environmental challenges, including climate change modelling, energy efficiency improvement, landscape erosion prediction, invasive species management, and endangered species conservation. In this context, computer vision techniques, particularly Convolutional Neural Networks (CNNs), play a pivotal role. These deep learning models enable us to extract meaningful information from geospatial data, satellite imagery, and environmental sensor networks. Geospatial data ..read more

1) Guest Editorial: New Developments in Explainable and Interpretable Artificial Intelligence Author(s): K. P. Suba Subbalakshmi, Wojciech Samek, Xia Ben Hu Pages: 1427 - 1428 2) A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? Author(s): Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder Pages: 1429 - 1442 3) Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent Author(s): Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn Pages: 1443 ..read more

AI Education There has been an explosion in the applications of Artificial Intelligence (AI). While Large Language Models such as ChatGPT have garnered much of the attention, other AI technologies have also found wide application, such as the predictive keyboards on mobile devices, and facial recognition systems in supermarkets. Some technology venture capitalists have reported that 80% of the funding pitches they receive involve AI. Many business owners believe that AI is going to put them out of business, unless they adapt to the technology. Others are desperately searching for ways to get o ..read more

1) The Physical Cell Identity Assignment Problem: A Practical Optimization Approach Author(s): Carlos E. Andrade, Luciana S. Pessoa, Slawomir Stawiarski Pages: 282 - 292 2) Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network Author(s): Yu Zhang, Wang Hu, Wen Yao, Lixian Lian, Gary G. Yen Pages: 293 - 306 3) Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification Author(s): Ying Bi, Bing Xue, Mengjie Zhang Pages: 307 - 322 4) Neural Architecture Search as Multiobjective Optimi ..read more

1) Guest Editorial Special Issue on Movement Sciences in Cognitive Systems Author(s): Junpei Zhong, Ran Dong, Soichiro Ikuno, Yanan Li, Chenguang Yang Pages: 403 - 406 2) A Bioinspired Multifunctional Tendon-Driven Tactile Sensor and Application in Obstacle Avoidance Using Reinforcement Learning Author(s): Zhenyu Lu, Zhou Zhao, Tianqi Yue, Xu Zhu, Ning Wang Pages: 407 - 415 3) Learning to Assist Bimanual Teleoperation Using Interval Type-2 Polynomial Fuzzy Inference Author(s): Ziwei Wang, Haolin Fei, Yanpei Huang, Quentin Rouxel, Bo Xiao, Zhibin Li, Etienne Burdet Pages:  ..read more

1) Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF Author(s): Shan Zeng, Xiangjun Duan, Jun Bai, Wei Tao, Kun Hu, Yuanyan Tang Pages: 1615 - 1629 2) Fuzzy Event-Triggered Control for Grid-Connected PMSM Model With Stochastic Disturbances Author(s): Girija Panneerselvam, Ahmed Rahmani, Prakash Mani Pages: 1630 - 1640 3) Factorization of Matrices With Grades With Overcovering Author(s): Radim Belohlavek, Marketa Trneckova Pages: 1641 - 1652 4) Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-Step Wide Calculation Author(s):  ..read more

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, Bluesky and Post):  Anyone with even the slightest knowledge of the technology being used could have told them that 1) It was going to have bad performance over women of colour, and 2) That the people using it would be too lazy to double-check: https://www.nzherald.co.nz/nz/supermarket-facial-recognition-trial-rotorua-mothers-discrimination-ordeal/IK4ZEJHLQVFRLMDE6LX4AR57PE/ An optical neural network chip uses 0.1% of the energy of oth ..read more

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, Bluesky and Post):  The three things an organisation needs to update before investing in AI: https://www.informationweek.com/it-infrastructure/the-3-things-you-need-to-modernize-ahead-of-ai-investment I do wonder how thoroughly this automated grading system has been tested, and what kind of bugs are going to become apparent when using it: https://www.theverge.com/2024/4/10/24126206/texas-staar-exam-graders-ai-automated-scoring-engine A ..read more

1) EGFA-NAS: a neural architecture search method based on explosion gravitation field algorithm Author(s): Xuemei Hu, Lan Huang, Yan Wang Pages: 1667 - 1687 2) A blockchain authentication scheme for UAV-aided fog computing Author(s): Xiaoyu Du, Song Tao, Yi Zhou Pages: 1689 - 1702 3) Improving table detection for document images using boundary Author(s): Yingli Liu, Jianfeng Zheng, Tao Shen Pages: 1703 - 1714 4) Actor-critic objective penalty function method: an adaptive strategy for trajectory tracking in autonomous driving Author(s): Bo Wang, Fusheng Bai, Ke ..read more

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, Bluesky and Post):  Ways in which AI can speed up drug clinical trials: https://www.nature.com/articles/d41586-024-00753-x A general purpose, AI enabled industrial robot that can be taught by humans remotely: https://www.freethink.com/robots-ai/general-purpose-robot An entirely predictable outcome of the "publish or perish" culture in academia-researchers using AI to churn out papers that go into paper mill journals: https://www.404medi ..read more