Weekly Review December 6 2024

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

1. The majority of posts on LinkedIn are generated by AI: https://www.theregister.com/2024/11/28/linkedin_ai_posts/
2. Optical data transmission is the key to meeting the computing needs of AI: https://www.theregister.com/2024/11/28/ai_copper_cables_limits/
3. Possible legal obstacles to Google's AI plans: https://arstechnica.com/tech-policy/2024/11/google-drags-ai-rivals-into-search-trial-as-judge-entertains-ai-remedies/
4. Even though energy supplies are uncertain, investors continue to back building data centres to meet the computing needs of AI: https://www.theregister.com/2024/11/27/investor_datacenter_energy_concern/
5. An AI music generator that can produce sounds that have never existed before: https://arstechnica.com/ai/2024/11/nvidias-new-ai-audio-model-can-synthesize-sounds-that-have-never-existed/
6. Generative AI hallucinates and is unexplainable. How can organisations trust it? https://www.informationweek.com/machine-learning-ai/how-can-decision-makers-trust-hallucinating-ai-
7. What those responsible for IT security need to think about regarding AI regulations: https://www.informationweek.com/cyber-resilience/meeting-ai-regulations-a-guide-for-security-leaders
8. The academic and teaching benefits of having a conversation with an AI: https://www.insidehighered.com/opinion/career-advice/teaching/2024/11/27/how-ai-can-help-teach-art-conversation-opinion
9. Guardrails for health AI aim to reduce biased models: https://arstechnica.com/health/2024/11/biden-proposes-guardrails-on-health-care-ai-upping-weight-loss-drug-access/
10. Building your own AI app on a shoestring: https://www.kdnuggets.com/diy-ai-building-ai-apps-shoestring-budget
11. The British don't seem to be all that interested in AI: https://www.theregister.com/2024/11/29/ofcom_online_nation/
12. Britain is investing in AI to improve its cybersecurity: https://www.theregister.com/2024/11/26/uk_ai_security/
13. Some approaches to protect privacy when using AI: https://www.datasciencecentral.com/ethical-ai-in-data-practices-balancing-innovation-and-privacy/
14. Generative AI will hallcuinate citations rather than cite actual publications: https://techcrunch.com/2024/11/29/study-of-chatgpt-citations-makes-dismal-reading-for-publishers/
15. Yet another lawsuit from publishers over their material being used to train AI: https://techcrunch.com/2024/11/29/canadian-news-companies-sue-openai/
16. An overview of the last two years of ChatGPT and generative AI: https://www.computerworld.com/article/3615039/two-years-of-chatgpt-the-conversation-that-never-ends.html
17. The roles you need to fill for a successful AI project: https://www.bigdatawire.com/2024/11/26/building-your-genai-dream-team/
18. Building a successful AI strategy: https://www.bigdatawire.com/2024/11/19/tips-on-building-a-winning-data-and-ai-strategy-from-jpmc/
19. Cloning Panasonic's founder through AI: https://www.theregister.com/2024/11/29/panasonic_ai_founder/
20. AI can't make a bad photo good, to take good photos you need to be a good photographer: https://www.informationweek.com/machine-learning-ai/how-ai-is-revolutionizing-photography
21. How to assess when you should use generative AI: https://www.bigdatawire.com/2024/11/27/llms-and-genai-when-to-use-them/
22. AI that can detect a driver is dozing off: https://spectrum.ieee.org/driver-drowsiness-detection
23. Even AI needs a backup: https://arstechnica.com/tech-policy/2024/11/tech-problems-plague-openai-court-battles-judge-rejects-a-key-fair-use-defense/
24. Despite registering their use being mandatory, most British government users of AI are not doing so: https://www.theguardian.com/technology/2024/nov/28/uk-government-failing-to-list-use-of-ai-on-mandatory-register

Weekly Review 29 November 2024

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

1. Looks like everyone is jumping on the lawsuit bandwagon. This will likely continue until a definitive ruling is made about whether using data to train an AI constitutes copying that data: https://techcrunch.com/2024/11/18/indian-news-agency-sues-openai-alleging-copyright-infringement/
2. While most people are optimistic about generative AI, security experts aren't keen on it: https://www.techrepublic.com/article/ciso-generative-ai-problems-ntt-data/
3. An overview of AI agents: https://spectrum.ieee.org/ai-agents
4. From experimenting to rolling out AI in the organisation: https://www.datanami.com/2024/11/20/four-steps-to-go-from-experimentation-to-embedding-ai-across-the-enterprise/
5. Large scale AI needs large scale nuclear power, other energy sources emit too much carbon: https://www.theregister.com/2024/11/20/hokkaido_electric_power_nuclear_datacenter_ambition/
6. More progress in medical applications of AI: https://www.extremetech.com/science/microsofts-new-ai-model-can-spot-cancer-chest-infections-and-more
7. AI agents are just like any other software project, you need good documentation around them or people forget what they're for: https://www.theregister.com/2024/11/21/gartner_agentic_ai/
8. Quantization, a technique that makes AI more energy efficient, has a downside: https://techcrunch.com/2024/11/17/a-popular-technique-to-make-ai-more-efficient-has-drawbacks/
9. An analog AI chip that is much more power efficient than digital: https://spectrum.ieee.org/analog-ai-2669898661
10. Large language model AI are now being applied to military tasks: https://spectrum.ieee.org/ai-used-by-military
11. A high level API layer that abstracts away a lot of the donkey work with building AI: https://techcrunch.com/2024/11/21/lightning-ai-looks-to-make-managing-ai-a-piece-of-cake/
12. AI agents are going to become more and more prevalent in business: https://www.computerworld.com/article/3609764/ai-agents-are-coming-to-work-heres-what-businesses-need-to-know.html
13. AI generated advertisements are still not quite ready for mainstream usage: https://www.nzherald.co.nz/entertainment/coca-cola-christmas-ad-2024-cokes-ai-generated-commercials-slammed-by-consumers/YHGCFVAHY5HNPNLVJERVGUNA2E/
14. Think of the hilarity if an AI Jesus started to hallucinate answers: https://www.theguardian.com/technology/2024/nov/21/deus-in-machina-swiss-church-installs-ai-powered-jesus
15. How AI can help clean up plastic pollution: https://www.informationweek.com/machine-learning-ai/ai-and-the-war-against-plastic-waste
16. The role of AI in automating the global supply chain: https://www.techrepublic.com/article/ai-supply-chain-automation-global/
17. Ben Affleck is right that AI can't produce good movies. But they don't need to, they only need to produce profitable movies: https://techcrunch.com/2024/11/18/ben-affleck-tells-actors-and-writers-not-to-worry-about-ai/
18. AI that improve the energy efficiency of factories: https://techcrunch.com/2024/11/18/juna-ai-wants-to-use-ai-agents-to-make-factories-more-energy-efficient/
19. I feel that people shouldn't have to be told to not upload their medical data into AI training sets: https://techcrunch.com/2024/11/19/psa-you-shouldnt-upload-your-medical-images-to-ai-chatbots/
20. Spotting scam calls in real-time. But scammers are using AI to make the calls now, so it's really AI against AI: https://www.extremetech.com/mobile/google-introduces-ai-scam-detection-for-pixel-phones
21. AI continue to improve at finding bugs: https://www.theregister.com/2024/11/20/google_ossfuzz/
22. Just because a policy doesn't explicitly ban the use of AI to cheat in an assignment doesn't mean it's not cheating: https://arstechnica.com/tech-policy/2024/11/school-did-nothing-wrong-when-it-punished-student-for-using-ai-court-rules/
23. Even if variables like race are explicitly removed, an AI can still infer them from other factors and act in a biased manner: https://www.theregister.com/2024/11/21/ai_hiring_test_bias/
24. The idea of ad-supported AI gives me all sorts of misgivings: https://techcrunch.com/2024/11/21/marissa-mayer-just-laid-out-a-possible-business-model-for-ad-supported-ai-chatbots/

Weekly Review 22 November 2024

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

1. Academia has been slow to adopt generative AI. And for good reason, it can really mess things up: https://www.insidehighered.com/news/tech-innovation/digital-publishing/2024/11/14/scholarly-publishing-world-slow-embrace
2. YouTube's music modifying AI: https://www.theverge.com/2024/11/12/24294891/youtube-ai-restyle-music-creators
3. AI isn't yet useful for quality assurance: https://www.datasciencecentral.com/why-ai-in-qa-isnt-quite-ready-yet/
4. Have AI really advanced to the stage that we need to consider their welfare? https://arstechnica.com/ai/2024/11/anthropic-hires-its-first-ai-welfare-researcher/
5. There are certainly plenty of applications for AI in government, but I'm not sure it will improve efficiency: https://www.datasciencecentral.com/boosting-government-efficiency-with-valuable-ai-knowledge/
6. The benefits and risks of including AI in payment processing: https://www.bigdatawire.com/2024/11/14/harnessing-ais-potential-to-transform-payment-processing/
7. The EU wants to know which kinds of AI application to ban: https://techcrunch.com/2024/11/13/europe-asks-for-input-on-banned-uses-of-ai/
8. Trends in the AI market, and how to deal with them: https://www.techrepublic.com/article/ai-market-trends-how-enterprises-should-adapt/
9. Using an AI to process the documentation around a nuclear power plant: https://www.theregister.com/2024/11/13/nuclear_plant_generative_ai/
10. An AI app that works with news media rather than against them: https://techcrunch.com/2024/11/12/particle-launches-an-ai-news-app-to-help-publishers-instead-of-just-stealing-their-work/
11. There is not enough generating capacity to keep growing the data centres needed by AI: https://techcrunch.com/2024/11/14/nearly-half-of-ai-data-centers-may-not-have-enough-power-by-2027/
12. Amazon is using its own AI chips: https://arstechnica.com/ai/2024/11/amazon-ready-to-use-its-own-ai-chips-reduce-its-dependence-on-nvidia/
13. Data sovereignty is important for a country, but if every country does its own AI, there needs to be a lot more hardware and a lot more energy: https://www.nextplatform.com/2024/11/13/how-convenient-every-country-needs-ai-sovereignty/
14. Amazon is putting $100m into research into generative AI: https://spectrum.ieee.org/generative-ai
15. An interview with one of the original developers of the technology used in generative AI: https://arstechnica.com/ai/2024/11/chatgpts-success-could-have-come-sooner-says-former-google-ai-researcher/
16. The cause, detection and prevention of hallucinations in generative AI: https://www.informationweek.com/machine-learning-ai/getting-a-handle-on-ai-hallucinations
17. Turns out AI really aren't that good at maths: https://arstechnica.com/ai/2024/11/new-secret-math-benchmark-stumps-ai-models-and-phds-alike/
18. Retrieval Augmented Generation improves the reliability of outputs of generative AI. Is this just fact-checking for AI? https://www.informationweek.com/machine-learning-ai/retrieval-augmented-generation-makes-ai-smarter
19. Fear and embarrassment are the main obstacles to employees using AI in the workplace: https://dataconomy.com/2024/11/13/workers-feel-embarrassed-using-ai-tools-at-work/
20. I might have more confidence in an autonomous AI agent if it didn't come from OpenAI: https://www.theverge.com/2024/11/13/24295879/openai-agent-operator-autonomous-ai
21. Organisations need an AI ethicist. The ethical use of AI is something that gets overlooked quite a lot: https://www.computerworld.com/article/3601491/do-you-need-an-ai-ethicist.html
22. Implementing responsible generative AI: https://www.bigdatawire.com/2024/11/04/ey-experts-provide-tips-for-responsible-genai-development/
23. It is trivial to get an AI to ignore its safeguards: https://spectrum.ieee.org/jailbreak-llm
24. The improvements in large language model AI is starting to plateau: https://arstechnica.com/ai/2024/11/what-if-ai-doesnt-just-keep-getting-better-forever/

Weekly Review 15 November 2024

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

1. How AI is impacting the food services industry: https://www.informationweek.com/machine-learning-ai/how-ai-is-reshaping-the-food-services-industry
2. AI models are starting to hit a wall in terms of trying to further improve performance without still more training data: https://techcrunch.com/2024/11/09/openai-reportedly-developing-new-strategies-to-deal-with-ai-improvement-slowdown/
3. By this point OpenAI should just give up on AI safety: https://techcrunch.com/2024/11/08/openai-loses-another-lead-safety-researcher-lilian-weng/
4. Almost half of IT security professionals think AI poses a hazard to security: https://www.techrepublic.com/article/hackerone-generative-ai-security-survey/
5. The problem I see with AI handling contract negotiations is that they are unlikely to spot any gotchas: https://spectrum.ieee.org/ai-contracts
6. Five free online resources about large language model AI: https://www.kdnuggets.com/5-no-cost-learning-resources-for-llm-agents
7. Microsoft's Copilot AI is now being bundled with Office 365: https://www.theverge.com/2024/11/7/24290268/microsoft-copilot-office-features-microsoft-365
8. Google's AI has discovered a critical vulnerability in the code for SQLite: https://www.bigdatawire.com/2024/11/07/googles-new-ai-tool-uncovers-critical-zero-day-vulnerability-in-sqlite/
9. The AI genie is out of the bottle, it's never going back in. So creatives need to learn how to use it to make their own work better, rather than trying to suppress it: https://www.theguardian.com/film/2024/nov/06/ai-evangelists-pope-dr-strange-portugal-legal-showdown
10. I never understood art pricing. Is it the combination of AI control and robotics that made this so valuable to someone? https://www.stuff.co.nz/culture/360481106/painting-ai-powered-robot-sells-22-million
11. It is more efficient to model semiconductor designs using AI: https://spectrum.ieee.org/semiconductor-manufacturing
12. AI used for employee recruitment can infer things about applicants like race, and use that to discriminate against them: https://www.theregister.com/2024/11/08/ico_finds_ai_tools_can/
13. First the energy demands of AI accelerate climate change, now the junked hardware is increasing pollution: https://spectrum.ieee.org/e-waste
14. A lawsuit around the use of material for AI training sets has been dismissed, but will likely be refiled: https://www.theregister.com/2024/11/08/openai_copyright_suit_dismissed/
15. The four essential principles to follow for innovating with AI: https://www.datasciencecentral.com/the-four-pillars-of-ai-driven-innovation/
16. Shrinking large AI models so that they can run locally: https://dataconomy.com/2024/11/06/on-device-ai-models-deeper-smaller-devices/
17. There is still no killer app for generative AI, and such an application is at least three years away: https://www.theregister.com/2024/11/07/it_spend_europe_2025/
18. Google is developing an AI to compete with Microsoft's Copilot: https://dataconomy.com/2024/11/07/google-jarvis-ai-project-leak/
19. The author of this piece doesn't have a tertiary qualification and doubts their usefulness. A degree proves one thing, though-that the holder can complete a multi-year commitment to better themselves: https://www.newstalkzb.co.nz/on-air/christchurch/canterbury-mornings-with-john-macdonald/opinion/john-macdonald-we-need-to-ditch-this-obsession-with-uni-degrees/
20. While the job market for IT isn't great, for AI experts it's still pretty good, especially with these employers: https://www.informationweek.com/it-leadership/the-current-top-ai-employers
21. What's wrong with parents parenting, instead of AI? https://techcrunch.com/2024/11/07/ai-powered-parenting-is-here-and-a16z-is-ready-to-back-it/
22. Moving AI into the physical world. What could go wrong? https://dataconomy.com/2024/11/06/what-is-embodied-ai-why-meta-bets-on-it/
23. Given how easy it is for AI to leak their training data, is it really a good idea to use them to process classified information? https://arstechnica.com/ai/2024/11/safe-ai-champ-anthropic-teams-up-with-defense-giant-palantir-in-new-deal/
24. Another use of AI as a tool to undermine workers: https://techcrunch.com/2024/11/04/perplexity-ceo-offers-ai-companys-services-to-replace-striking-nyt-staff/

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 11, November 2024

1) Energy Scheduling Optimization for Microgrids Based on Partially Observable Markov Game

Author(s): Jiakai Gong, Nuo Yu, Fen Han, Bin Tang, Haolong Wu, Yuan Ge

Pages: 5371 - 5380

2) Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework

Author(s): Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, D. Nagarajan

Pages: 5381 - 5391

3) 360° High-Resolution Depth Estimation via Uncertainty-Aware Structural Knowledge Transfer

Author(s): Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang

Pages: 5392 - 5402

4) SSpose: Self-Supervised Spatial-Aware Model for Human Pose Estimation

Author(s): Linfang Yu, Zhen Qin, Liqun Xu, Zhiguang Qin, Kim-Kwang Raymond Choo

Pages: 5403 - 5417

5) CrackLens: Automated Sidewalk Crack Detection and Segmentation

Author(s): Chan Young Koh, Mohamed Ali, Abdeltawab Hendawi

Pages: 5418 - 5430

6) Alternating Excitation–Inhibition Dendritic Computing for Classification

Author(s): Jiayi Li, Zhenyu Lei, Zhiming Zhang, Haotian Li, Yuki Todo, Shangce Gao

Pages: 5431 - 5441

7) Differentiation of Benign and Malignant Masses in Mammogram Using 2D-Fourier–Bessel Intrinsic Band Functions and Improved Feature Space

Author(s): Pradeep Kumar Chaudhary, Ram Bilas Pachori

Pages: 5442 - 5451

8) Optimal Trajectory-Based Control of 3-D Dual Rotary Cranes for Payload Dynamic Regulation in Complex Environments

Author(s): Zhuoqing Liu, Tong Yang, Yongchun Fang, Ning Sun

Pages: 5452 - 5464

9) Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks

Author(s): Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang

Pages: 5465 - 5477

10) Communication-Efficient Federated Learning for Decision Trees

Author(s): Shuo Zhao, Zikun Zhu, Xin Li, Ying-Chi Chen

Pages: 5478 - 5492

11) Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning

Author(s): Rui Wang, Wei Liu, Kaiwen Li, Tao Zhang, Ling Wang, Xin Xu

Pages: 5493 - 5508

12) Tailor-Made Reinforcement Learning Approach With Advanced Noise Optimization for Soft Continuum Robots

Author(s): Jino Jayan, Lal Priya P.S., Hari Kumar R.

Pages: 5509 - 5518

13) Exploring Weight Distributions and Dependence in Neural Networks With α-Stable Distributions

Author(s): Jipeng Li, Xueqiong Yuan, Ercan Engin Kuruoglu

Pages: 5519 - 5529

14) Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning

Author(s): Zijian Gao, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

Pages: 5530 - 5539

15) Cross-View Masked Model for Self-Supervised Graph Representation Learning

Author(s): Haoran Duan, Beibei Yu, Cheng Xie

Pages: 5540 - 5552

16) Epileptic Seizure Prediction Using Stacked CNN-BiLSTM: A Novel Approach

Author(s): Zeenat Firdosh Quadri, M. Saqib Akhoon, Sajad A. Loan

Pages: 5553 - 5560

17) A Novel Incentive Mechanism for Federated Learning Over Wireless Communications

Author(s): Yong Wang, Yu Zhou, Pei-Qiu Huang

Pages: 5561 - 5574

18) Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

Author(s): Zihan Jiang, Yiqun Ma, Bingyu Shi, Xin Lu, Jian Xing, Nuno Gonçalves, Bo Jin

Pages: 5575 - 5588

19) A Study of Enhancing Federated Learning on Non-IID Data With Server Learning

Author(s): Van Sy Mai, Richard J. La, Tao Zhang

Pages: 5589 - 5604

20) A Reliable Clinical Decision Support System for Posttraumatic Stress Disorder Using Functional Magnetic Resonance Imaging Data

Author(s): J. Bhattacharya, A. Gupta, M. N. Dretsch, T. S. Denney, G. Deshpande

Pages: 5605 - 5615

21) CycleGAN*: Collaborative AI Learning With Improved Adversarial Neural Networks for Multimodalities Data

Author(s): Yibo He, Kah Phooi Seng, Li Minn Ang

Pages: 5616 - 5629

22) Evaluating Negative Sampling Approaches for Neural Topic Models

Author(s): Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, Partha Pratim Das

Pages: 5630 - 5642

23) Automated Bundle Branch Block Detection Using Multivariate Fourier–Bessel Series Expansion-Based Empirical Wavelet Transform

Author(s): Sibghatullah Inayatullah Khan, Ram Bilas Pachori

Pages: 5643 - 5654

24) Deep Learning Security Breach by Evolutionary Universal Perturbation Attack (EUPA)

Author(s): Neeraj Gupta, Mahdi Khosravy, Antoine Pasquali, Olaf Witkowski

Pages: 5655 - 5665

25) StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification

Author(s): Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, Li Chen

Pages: 5666 - 5675

26) Lightweight Parallel Convolutional Neural Network With SVM Classifier for Satellite Imagery Classification

Author(s): Priyanti Paul Tumpa, Md. Saiful Islam

Pages: 5676 - 5688

27) Collision-Free Grasp Detection From Color and Depth Images

Author(s): Dinh-Cuong Hoang, Anh-Nhat Nguyen, Chi-Minh Nguyen, An-Binh Phi, Quang-Tri Duong, Khanh-Duong Tran, Viet-Anh Trinh, Van-Duc Tran, Hai-Nam Pham, Phuc-Quan Ngo, Duy-Quang Vu, Thu-Uyen Nguyen, Van-Duc Vu, Duc-Thanh Tran, Van-Thiep Nguyen

Pages: 5689 - 5698

28) Weighted Concept Factorization Based Incomplete Multi-view Clustering

Author(s): Ghufran Ahmad Khan, Jalaluddin Khan, Taushif Anwar, Zubair Ashraf, Mohammad Hafeez Javed, Bassoma Diallo

Pages: 5699 - 5708

29) Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviors for ASD Identification

Author(s): Ashwini B., Deeptanshu, Sheffali Gulati, Jainendra Shukla

Pages: 5709 - 5719

30) Learning Robust Global-Local Representation From EEG for Neural Epilepsy Detection

Author(s): Xinliang Zhou, Chenyu Liu, Ruizhi Yang, Liangwei Zhang, Liming Zhai, Ziyu Jia, Yang Liu

Pages: 5720 - 5732

31) A Deep Learning-Based Method for Crowd Counting Using Shunting Inhibition Mechanism

Author(s): Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Son Lam Phung, Hoang Thanh Le, Hamza Baali

Pages: 5733 - 5745

32) Online Continual Learning Benefits From Large Number of Task Splits

Author(s): Shilin Zhang, Chenlin Yi

Pages: 5746 - 5759

33) Brain-Inspired Evolutionary Architectures for Spiking Neural Networks

Author(s): Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng

Pages: 5760 - 5770

34) An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient-Boosting and Fuzzy Rule-Based Models

Author(s): Jinbo Li, Peng Liu, Long Chen, Witold Pedrycz, Weiping Ding

Pages: 5771 - 5785

35) Broad Siamese Network for Facial Beauty Prediction

Author(s): Yikai Li, Tong Zhang, C. L. Philip Chen

Pages: 5786 - 5800

36) Hierarchical Spatial-Temporal Masked Contrast for Skeleton Action Recognition

Author(s): Wenming Cao, Aoyu Zhang, Zhihai He, Yicha Zhang, Xinpeng Yin

Pages: 5801 - 5814

37) An Improved Continuous-Encoding-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks

Author(s): Jun Fu, Yan Wang

Pages: 5815 - 5827

38) Multiscale Bilateral Attention Fusion Network for Pansharpening

Author(s): Zhongyuan Guo, Jiawei Li, Jia Lei, Jinyuan Liu, Shihua Zhou, Bin Wang, Nikola K. Kasabov

Pages: 5828 - 5843

39) A Hybrid Relational Approach Toward Stock Price Prediction and Profitability

Author(s): Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay

Pages: 5844 - 5854

Special Journal Issues

IEEE Transactions on Emerging Topics in Computational Intelligence, Special Issue on Digital Trust for Artificial Intelligence 

Submission deadline: 1 December 2024

IEEE Transactions on Games, Special Issue on Large Language Models and Games 

Submission deadline: 1 December 2024

IEEE Transactions on Emerging Topics in Computational Intelligence, Special Issue on Neural Architecture Search and Large Machine Learning Models 

Submission deadline: 31 December 2024

IEEE Transactions on Fuzzy Systems, Special Issue on Fuzzy Intelligence on Flexible Electronics and Systems 

Submission deadline: 31 December 2024

IEEE Transactions on Cognitive and Developmental Systems, Special Issue on Bridging the Gap between Machine and Brain in Speech Processing 

Submission deadline: 31 December 2024

IEEE Transactions on Fuzzy Systems, Special Issue on Fuzzy Affective Computing Systems 

Submission deadline: 31 January 2025

IEEE Transactions on Evolutionary Computation, Special Issue on Evolutionary Computation Meets Large Language Models 

Submission deadline: 31 January 2025

Important Dates for 2025 IEEE Conference on Evolutionary Computation

CEC 2025 will be held in Hangzhou, China, June 8-12 2025. Some important dates are:

• Special Session & Workshop Proposals: 15 November 2024
• Competition & Tutorial Proposals: 15 December 2024
• Paper Submission: 15 January 2025

Important Dates for 2025 IEEE International Conference on Fuzzy Systems

FUZZ-IEEE 2025 will be held in Reims, France, 6-9 July 2025. Important dates for this conference are:

• Paper submission: 10 January 2025
• Notification of acceptance: 1 April 2025
• Camera-ready paper submission: 1 May 2025
• Early/author registration: 1 May 2025

Weekly Review 8 November 2024

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

1. AI that build better AI, without human involvement of intervention, is something we need to be very careful about: https://arstechnica.com/ai/2024/10/the-quest-to-use-ai-to-build-better-ai/
2. Honestly, he's not wrong about AI being hyped. And I agree that in time it will become useful, once the hype has died down: https://www.tomshardware.com/tech-industry/artificial-intelligence/linus-torvalds-reckons-ai-is-90-percent-marketing-and-10-percent-reality
3. Web search is another area where AI is taking over: https://www.bigdatawire.com/2024/11/01/openai-and-google-clash-in-the-evolution-of-ai-powered-search/
4. AI services is having a small but measurable impact on Microsoft's profitability: https://arstechnica.com/gadgets/2024/10/microsoft-reports-big-profits-amid-massive-ai-investments/
5. You don't need GPU to run AI, it can be done in CPU: https://www.theregister.com/2024/10/29/cpu_gen_ai_gpu/
6. How AI is affecting jobs and the workplace: https://www.datasciencecentral.com/the-impact-of-ai-powered-automation-on-workforce-dynamics-and-job-roles/
7. If the training data isn't open, then the AI isn't open: https://www.bigdatawire.com/2024/10/28/osi-open-ai-definition-stops-short-of-requiring-open-data/
8. Another way AI is affecting the climate-AI run in data centers, which use a lot of concrete in their construction, and concrete production releases carbon: https://spectrum.ieee.org/green-concrete
9. A point-by-point overview of ChatGPT: https://www.techrepublic.com/article/gpt-4-cheat-sheet/
10. Generative AI is now being rolled-out to Gmail: https://www.theverge.com/2024/10/28/24282103/gmail-help-me-write-email-web-ai-gemini
11. Here the AI is helping programmers be more productive, rather than replacing them. But given the known security issues with AI-generated code, is it too much to have 25% generated by AI? https://arstechnica.com/ai/2024/10/google-ceo-says-over-25-of-new-google-code-is-generated-by-ai/
12. Generative AI comes with a lot of legal risks: https://www.informationweek.com/machine-learning-ai/the-intellectual-property-risks-of-genai
13. Five things that Generative AI is expected to impact in 2025: https://www.techrepublic.com/article/generative-ai-trends-2025/
14. Microsoft is focusing on running AI inferencing in Azure rather than training: https://www.theregister.com/2024/10/31/microsoft_q1_fy_2025/
15. A swarm of cooperating agents might be the way to truly powerful AI: https://www.computerworld.com/article/3594235/agentic-ai-swarms-are-headed-your-way.html
16. An overview of AI in healthcare: https://www.datasciencecentral.com/how-ai-is-shaping-the-future-of-the-healthcare-industry/
17. You could achieve general AI with a billion people using abacuses. That doesn't mean it's feasible: https://futurism.com/sam-altman-agi-achievable-current-hardware
18. Am I being cynical in thinking that an AI powered web search engine is going to hallucinate web sites? https://www.stuff.co.nz/world-news/360472566/openai-adds-search-chatgpt-challenging-google
19. The current tools an AI developer needs to be familiar with: https://www.informationweek.com/machine-learning-ai/the-essential-tools-every-ai-developer-needs
20. Good clean data is essential for training AI. Here are ten Python commands that help clean data: https://www.kdnuggets.com/10-useful-python-one-liners-for-data-cleaning
21. Combining AI with Google maps: https://www.theverge.com/2024/10/31/24283970/google-maps-gemini-ai-answer-questions
22. This is the best use of AI in journalism-using it to support their work by transcribing recordings, rather than trying to replace the reporters entirely: https://arstechnica.com/ai/2024/10/the-new-york-times-shows-how-ai-can-aid-reporters-without-replacing-them/
23. If you're training your AI with other people's work, you really should know what plagiarism is: https://techcrunch.com/2024/10/30/perplexitys-ceo-punts-on-defining-plagiarism/
24. Giving instructions in hexadecimal can defeat AI guardrails, in this case tricking ChatGPT into writing exploit code: https://www.theregister.com/2024/10/29/chatgpt_hex_encoded_jailbreak/

IEEE Transactions on Fuzzy Systems, Volume 32, Issue 11, November 2024

1) Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context

Author(s): Edwin Lughofer, Igor Škrjanc

Pages: 5998 - 6011

2) Flexible Prescribed Performance Output Feedback Control for Nonlinear Systems With Input Saturation

Author(s): Yangang Yao, Yu Kang, Yunbo Zhao, Pengfei Li, Jieqing Tan

Pages: 6012 - 6022

3) Adaptive Fuzzy Predetermined Performance Control of p-Normal Systems With Unknown Control Coefficients via Dynamic-Events

Author(s): Qidong Li, Changchun Hua, Kuo Li, Hao Li

Pages: 6023 - 6034

4) Reinforcement Learning for Fuzzy Structured Adaptive Optimal Control of Discrete-Time Nonlinear Complex Networks

Author(s): Tao Wu, Jinde Cao, Lianglin Xiong, Ju H. Park, Hak-Keung Lam

Pages: 6035 - 6043

5) Enhanced Distributed Outlier-Resilient Fusion Estimation With Novel Dimensionality Reduction Under IT-2 T–S Fuzzy System

Author(s): Yunyi Yang, Guoguang Wen, Yidi Wang, Zhaoxia Peng, Kai Xiong

Pages: 6044 - 6055

6) Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities

Author(s): Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz

Pages: 6056 - 6068

7) Data-Driven Reinforcement Learning Tracking of MASs Under Injection Attack: A Controller-Dynamic-Linearization Approach

Author(s): Shanshan Sun, Yuan-Xin Li, Zhongsheng Hou

Pages: 6069 - 6078

8) Set-Membership Observer Design for T-S Fuzzy 2-D Systems With Unmeasurable Premise Variables

Author(s): Changyi Xu, Chenyang Zhao, Fengyuan Zhang, Chao Zhang, Zhongyang Fei

Pages: 6079 - 6087

9) Discrete-Time Finite Fuzzy Markov Chains Realized Through Supervised Learning Stochastic Fuzzy Discrete Event Systems

Author(s): Hao Ying, Feng Lin

Pages: 6088 - 6100

10) Stability and Filtering for Delayed Discrete-Time T-S Fuzzy Systems via Membership-Dependent Approaches

Author(s): Wen-Hu Chen, Chuan-Ke Zhang, Zhou-Zhou Liu, Leimin Wang, Yong He

Pages: 6101 - 6111

11) Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization

Author(s): Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu

Pages: 6112 - 6124

12) Fuzzy Adaptive Distributed Optimization of Uncertain Multiagent Systems With Time-Varying Delays

Author(s): Jiayi Lei, Yuan-Xin Li, Shaocheng Tong

Pages: 6125 - 6135

13) Adaptive Fuzzy Tracking Control for Nonlinear Time-Delay Systems With Performance Constrained by Deferred Monotone Tube Boundaries

Author(s): Guopin Liu, Yu Zhang, Changchun Hua, Yafeng Li, Jiannan Chen

Pages: 6136 - 6148

14) A Polynomial Chaos Expansion Approach to Interval Estimation for Uncertain Fuzzy Systems

Author(s): Zhenhua Wang, Lanshuang Zhang, Choon Ki Ahn, Yi Shen

Pages: 6149 - 6159

15) Adaptive Reinforcement Learning Strategy-Based Sliding Mode Control of Uncertain Euler–Lagrange Systems With Prescribed Performance Guarantees: Autonomous Underwater Vehicles-Based Verification

Author(s): Yang Wu, Yue-Ying Wang, Xiang-Peng Xie, Zheng-Guang Wu, Huai-Cheng Yan

Pages: 6160 - 6171

16) Fuzzy Switching Sliding Mode Control of T-S Fuzzy Systems via an Event-Triggered Strategy

Author(s): Xiaofei Fan, Tao Li

Pages: 6172 - 6184

17) Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory

Author(s): Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, Jing Cai

Pages: 6185 - 6198

18) Promoting Objective Knowledge Transfer: A Cascaded Fuzzy System for Solving Dynamic Multiobjective Optimization Problems

Author(s): Han Li, Zidong Wang, Nianyin Zeng, Peishu Wu, Yurong Li

Pages: 6199 - 6213

19) A Double Integral Noise-Tolerant Fuzzy ZNN Model for TVSME Applied to the Synchronization of Chua's Circuit Chaotic System

Author(s): Lin Xiao, Dan Wang, Liu Luo, Jianhua Dai, Xiangru Yan, Jichun Li

Pages: 6214 - 6223

20) Multicenter Knowledge Transfer Calibration With Rapid Zeroth-Order TSK Fuzzy System for Small Sample Epileptic EEG Signals

Author(s): Chuang Wang, Pengjiang Qian, Zhihuang Wang, Weiwei Cai, Jian Yao, Yi-Zhang Jiang, Xiangyu Yan, Wenjun Hu

Pages: 6224 - 6236

21) Distributed Adaptive Fuzzy 3-D Formation Tracking Control of Underactuated Autonomous Underwater Vehicles

Author(s): Peng Wan, Zhigang Zeng

Pages: 6237 - 6251

22) Imitation Learning and Teleoperation Shared Control With Unit Tangent Fuzzy Movement Primitives

Author(s): Hao Wen, Wen Fu, Wu Chen, Jiale Huan, Changsheng Li, Xingguang Duan

Pages: 6252 - 6266

23) Adaptive Relative Fuzzy Rough Learning for Classification

Author(s): Yang Zhang, Changzhong Wang, Yang Huang, Weiping Ding, Yuhua Qian

Pages: 6267 - 6276

24) Supervisory Control of Networked Fuzzy Discrete Event Systems

Author(s): Feng Lin, Hao Ying

Pages: 6277 - 6287

25) Multiview Fully Interpretable TSK Fuzzy Classifier Enhanced by Multiview Accompanying GMMs

Author(s): Erhao Zhou, Fu-Lai Chung, Shitong Wang

Pages: 6288 - 6302

26) Whole-Process Predefined-Time Tracking Control for T–S Fuzzy Euler–Lagrange Systems

Author(s): Jia-Du Zhang, Tao Han, Bo Xiao, Chang-Duo Liang, Huaicheng Yan

Pages: 6303 - 6313

27) Multilayer Evolving Fuzzy Neural Networks With Self-Adaptive Dimensionality Compression for High-Dimensional Data Classification

Author(s): Xiaowei Gu, Qiang Ni, Qiang Shen

Pages: 6314 - 6328

28) Few-Shot Fuzzy Temporal Knowledge Graph Completion via Fuzzy Semantics and Dynamic Attention Network

Author(s): Xuanxuan An, Luyi Bai, Longlong Zhou, Jingni Song

Pages: 6329 - 6339

29) NeuFG: Neural Fuzzy Geometric Representation for 3-D Reconstruction

Author(s): Qingqi Hong, Chuanfeng Yang, Jiahui Chen, Zihan Li, Qingqiang Wu, Qingde Li, Jie Tian

Pages: 6340 - 6349

30) Hierarchical Rule-Base Reduction-Based ANFIS With Online Optimization Through DDPG

Author(s): Marius F. R. Juston, Samuel R. Dekhterman, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu

Pages: 6350 - 6362

31) Dynamic Event-Triggered Asynchronous Fault Detection via Zonotopic Threshold Analysis for Fuzzy Hidden Markov Jump Systems Subject to Generally Hybrid Probabilities

Author(s): Mengmeng Liu, Jinyong Yu, Ke Zhao

Pages: 6363 - 6377

32) Fuzzy Event Knowledge Graph Embedding Through Event Temporal and Causal Transfer

Author(s): Chao Wang, Li Yan, Zongmin Ma

Pages: 6378 - 6387

33) Optimal Control for Fuzzy Markov Jump Singularly Perturbed Systems: A Hybrid Zero-Sum Game Iteration Approach

Author(s): Jing Wang, Yaling Huang, Xiangpeng Xie, Huaicheng Yan, Hao Shen

Pages: 6388 - 6398

34) Fuzzy Adaptive Exact-Optimal Consensus Output-Feedback Control for Uncertain Nonlinear High-Order Multiagent Systems

Author(s): Mengyuan Cui, Shaocheng Tong

Pages: 6399 - 6408

35) Multimodal Learning-Based Interval Type-2 Fuzzy Neural Network

Author(s): Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Honggui Han, Dezheng Zhao

Pages: 6409 - 6423

36) Long-Term Multivariate Time-Series Forecasting Model Based on Gaussian Fuzzy Information Granules

Author(s): Chenglong Zhu, Xueling Ma, Pierpaolo D'Urso, Yuhua Qian, Weiping Ding, Jianming Zhan

Pages: 6424 - 6438

37) Stabilization of Interval Type-2 T–S Fuzzy Systems via Time-Dependent Memory Sampled-Data Control and Its Applications

Author(s): Subramanian Kuppusamy, Samson S. Yu, Hieu M. Trinh, Peng Shi

Pages: 6439 - 6448

38) Distributed Nash Equilibrium Seeking for Games With Unknown Nonlinear Players via Fuzzy Adaptive Method

Author(s): Ying Chen, Qian Ma

Pages: 6449 - 6459

39) Fault-Tolerant Event-Triggered Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems

Author(s): Bo-Ming Chen, Zi-Peng Wang, Feng-Liang Zhao, Junfei Qiao, Huai-Ning Wu, Tingwen Huang

Pages: 6460 - 6471

40) Stability and Fuzzy Optimal Control for Nonlinear Itô Stochastic Markov Jump Systems via Hybrid Reinforcement Learning

Author(s): Zhen Pang, Hai Wang, Jun Cheng, Shengda Tang, Ju H. Park

Pages: 6472 - 6485

41) Graph Model for Conflict Resolution for Mixed-Stability Combinatorial Foresight Based on the Combination of Regret Theory and VIKOR Method

Author(s): Peide Liu, Xue Wang, Yingxin Fu, Peng Wang

Pages: 6486 - 6499

42) Fuzzy Observer-Based Finite-Time Adaptive Formation Control for Multiple QUAVs With Malicious Attacks

Author(s): Chao Li, Jiapeng Liu, Xinkai Chen, Jinpeng Yu

Pages: 6500 - 6511

43) A Novel HPPD-Type Fuzzy Switching Control Scheme of Active Vehicle Suspension Systems

Author(s): Yunshuai Ren, Xiangpeng Xie, Jiayue Sun, Xiaoming Wu

Pages: 6512 - 6522

44) Fuzzy Optimal Tracking Control for Autonomous Surface Vehicles With Prescribed-Time Convergence Analysis

Author(s): Yan Zhang, Xin Yan, Wencheng Zou, Zhengrong Xiang

Pages: 6523 - 6533

45) Event-Triggered-Based Adaptive Fuzzy Finite-Time Resilient Output Feedback Control for MIMO Stochastic Nonlinear System Subject to Deception Attacks

Author(s): Jipeng Zhao, Guang-Hong Yang

Pages: 6534 - 6547

46) Prescribed Performance Fault-Tolerant Optimal Control for Wastewater Treatment Process With Multivariable

Author(s): Dingyuan Chen, Cuili Yang, Dapeng Li, Junfei Qiao

Pages: 6548 - 6559

47) Switched Command-Filtered-Based Adaptive Fuzzy Output-Feedback Funnel Control for Switched Nonlinear MIMO-Delayed Systems

Author(s): Zhenhua Li, Hongtian Chen, Hak-Keung Lam, Wentao Wu, Weidong Zhang

Pages: 6560 - 6572

48) Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation

Author(s): Xiang Zhang, Shuping He, Zhihuan Hu, Ruonan Liu, Hongtian Chen, Weidong Zhang

Pages: 6573 - 6582

49) On Arithmetic Operations of LR Fuzzy Numbers With Different Shape Functions

Author(s): Gholamreza Hesamian, Arne Johannssen

Pages: 6583 - 6587

50) State and Fault Interval Estimation for Discrete-Time Takagi–Sugeno Fuzzy Systems via Intermediate Observer Base on Zonotopic Analysis

Author(s): Lulin Zhang, Zhuoxue Li, Yi Li, Jiuxiang Dong

Pages: 6588 - 6593

Weekly Review 1 November 2024

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

1. I think this is the biggest reason to not use AI to generate important code or material-it's too easy for bad actors to inject malicious code into the model used: https://arstechnica.com/tech-policy/2024/10/bytedance-intern-fired-for-planting-malicious-code-in-ai-models/
2. Google's AI mediator, that helps guide people to agree: https://arstechnica.com/ai/2024/10/googles-deepmind-is-building-an-ai-to-keep-us-from-hating-each-other/
3. The quality of data being used to train AI is declining. Garbage in, garbage out: https://www.bigdatawire.com/2024/10/23/ai-has-a-data-problem-appen-report-says/
4. Like many other AI, this transcription tool hallucinates: https://techcrunch.com/2024/10/26/openais-whisper-transcription-tool-has-hallucination-issues-researchers-say/
5. It is going to take some time to sort out the legal issues around the scraping of content to train AI: https://www.theguardian.com/technology/2024/oct/25/unjust-threat-murdoch-and-artists-align-in-fight-over-ai-content-scraping
6. More ways AI will keep lawyers happy-who's responsible when an AI controlled vehicle crashes? https://dataconomy.com/2024/10/23/the-ethical-dilemmas-of-autonomous-cars-whos-responsible-in-a-crash/
7. Ten Python libraries you should be familiar with for working with data: https://www.kdnuggets.com/10-essential-python-libraries-for-data-science-in-2024
8. The last time I got a scam call I told them to talk to my d*ck and put the phone down the front of my trousers. I don't think that would work if it were an AI calling: https://www.theregister.com/2024/10/24/openai_realtime_api_phone_scam/
9. An AI that can write, and verify, code: https://techcrunch.com/2024/10/24/anthropics-ai-can-now-run-and-write-code/
10. Biased data produces biased AI models. This is as true for cybersecurity applications of AI as it is for anything else: https://www.datasciencecentral.com/why-ai-bias-is-a-cybersecurity-risk-and-how-to-address-it/
11. Do we really want an AI to be able to control the mouse on our computers? Maybe useful for people who have motor impairments or tremors: https://arstechnica.com/ai/2024/10/anthropic-publicly-releases-ai-tool-that-can-take-over-the-users-mouse-cursor/
12. AI company fires back at lawsuits over its scraping of content for training data: https://techcrunch.com/2024/10/24/they-wish-this-technology-didnt-exist-perplexity-responds-to-news-corps-lawsuit/
13. Did a chatbot AI really encourage a teenager to kill themselves? Time for guardrails: https://www.theguardian.com/technology/2024/oct/23/character-ai-chatbot-sewell-setzer-death
14. Using AI to enable a garden to talk back: https://www.theguardian.com/lifeandstyle/2024/oct/25/ai-powered-garden-chelsea-flower-show
15. The idea of multi-agent architectures has been around for decades. Will generative AI be able to coordinate different agents to perform useful tasks? https://www.informationweek.com/machine-learning-ai/10-reasons-why-multi-agent-architectures-will-supercharge-ai
16. It looks pretty obvious to me that some companies will try to use Microsoft's AI to replace workers, not augment them: https://dataconomy.com/2024/10/23/microsoft-rolls-out-virtual-employee-ai-agents-for-enterprises/
17. The US wants to use more AI, especially in national security: https://www.computerworld.com/article/3587124/white-house-tells-intelligence-agencies-use-more-ai.html
18. The AI Cisco is using for customer support: https://www.computerworld.com/article/3578806/ciscos-new-ai-agents-and-assistants-aim-to-ease-customer-service-headaches.html
19. If the AI chips only last three years, what happens to them after that? Can they be recycled, or is this another way AI can negatively impact the environment? https://www.extremetech.com/computing/data-center-ai-gpus-may-have-extremely-short-lifespans
20. AI generated material is a threat to us, especially its use in election interference: https://www.informationweek.com/cyber-resilience/ai-manipulation-threatens-the-bonds-of-our-digital-world
21. An approach to watermarking AI generated text: https://spectrum.ieee.org/watermark
22. Replacing journalists with AI is not a popular move: https://www.stuff.co.nz/world-news/360462671/polish-radio-station-replaces-journalists-ai-presenters
23. 40 years later, Terminator continues to influence people's opinions of AI: https://arstechnica.com/ai/2024/10/40-years-later-the-terminator-still-shapes-our-view-of-ai/
24. Who needs AI safety? Not OpenAI: https://www.theregister.com/2024/10/25/open_ai_readiness_advisor_leaves/

Weekly Review 25 October 2024

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

1. The applications of AI in conserving coral reefs: https://www.datasciencecentral.com/how-machine-learning-helps-save-coral-reefs-by-listening/
2. Higher education is still under-prepared for AI: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2024/10/16/campus-tech-leaders-say-higher-ed
3. Applications of generative AI in coding: https://dataconomy.com/2024/10/15/how-gen-ai-is-impacting-low-code-software-development/
4. A set of tests that can determine if a general AI can modify its own code, and hence pose a threat: https://www.livescience.com/technology/artificial-intelligence/scientists-design-new-agi-benchmark-that-may-say-whether-any-future-ai-model-could-cause-catastrophic-harm
5. Google's AI can now scrape any kind of data from video, and summarise it: https://arstechnica.com/ai/2024/10/cheap-ai-video-scraping-can-now-extract-data-from-any-screen-recording/
6. AI is overhyped, but it is also a mistake to go the other way and dismiss its usefulness completely: https://techcrunch.com/2024/10/17/marc-benioff-warns-that-ai-while-useful-is-overhyped-and-partly-blames-microsoft/
7. The security issues around generative AI: https://www.bigdatawire.com/2024/10/17/weighing-your-data-security-options-for-genai/
8. More legal action over AI companies scraping content: https://www.informationweek.com/machine-learning-ai/nyt-sends-perplexity-cease-and-desist-letter-over-ai
9. A lot of AI projects are failing because of poor data governance. Since most AI are built from data, that should not be surprising: https://www.techrepublic.com/article/tech-buyers-ai-project-failures/
10. Modern AI only look like they are intelligent, they are really quite stupid: https://www.computerworld.com/article/3566631/ai-isnt-really-that-smart-yet-apple-researchers-warn.html
11. Improving customer experience with generative AI: https://www.datasciencecentral.com/how-can-retailers-leverage-generative-ai-powered-agents-to-boost-customer-experience/
12. How an AI to assist with writing police reports came about: https://techcrunch.com/2024/10/17/from-elon-musk-to-cop-car-chases-how-a-software-engineer-launched-a-police-ai-startup/
13. Workers want AI to take the drudgery out of their jobs: https://www.nzherald.co.nz/business/want-to-quit-work-an-hour-earlier-deploy-robot-or-ai/OMO4C44AMRGL5GFEMNWBFK5JFU/
14. Another tool to detect deepfakes and other AI trickery: https://arstechnica.com/security/2024/10/startup-can-catch-identify-deepfake-video-in-realtime/
15. Students are studying online. Things are never going back the way they were: https://www.stuff.co.nz/nz-news/350452007/higher-educations-quiet-revolution-vital-evolution
16. In the age of AI, we all need to be careful about where our likeness ends up: https://www.theguardian.com/technology/2024/oct/16/its-not-me-its-just-my-face-the-models-who-found-their-likenesses-had-been-used-in-ai-propaganda
17. How a law firm uses AI to process documents: https://www.computerworld.com/article/3564813/heres-how-cleary-gottlieb-law-firm-uses-genai-for-pre-trial-discovery-and-more.html
18. The role of AI in business coaching: https://dataconomy.com/2024/10/14/ai-enhanced-coaching-merging-technology-with-human-insight-for-executive-success/
19. Google recognises the need for nuclear power in meeting the energy needs of AI:  https://www.networkworld.com/article/3564290/google-bets-on-nuclear-power-to-drive-ai-expansion.html
20. More on Google's  plan to use nuclear reactors to power its AI: https://arstechnica.com/ai/2024/10/google-and-kairos-sign-nuclear-reactor-deal-with-aim-to-power-ai/
21. How a camera with embedded AI helped catch a rat in a conservation area: https://www.nzherald.co.nz/nz/department-of-conservation-catches-elusive-norway-rat-with-help-of-ai-powered-cameras/7GDA52CDQRHOFMBT7JC26KSHDE/
22. A quirk in Unicode provides a channel for covert attacks on large language model AI: https://arstechnica.com/security/2024/10/ai-chatbots-can-read-and-write-invisible-text-creating-an-ideal-covert-channel/
23. So far, AI is making lots of business for lawyers, even in frivolous suits like this one: https://gizmodo.com/parents-sue-school-that-gave-bad-grade-to-student-who-used-ai-to-complete-assignment-2000512000
24. An overview of AI agents, and how they can be used in the enterprise: https://www.techrepublic.com/article/ibm-ai-agent-revolution-enterprise-it/