Friday, December 6, 2024

Weekly Review December 6 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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

Friday, November 29, 2024

Weekly Review 29 November 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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/

Friday, November 22, 2024

Weekly Review 22 November 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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/

Friday, November 15, 2024

Weekly Review 15 November 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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/

Thursday, November 14, 2024

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

Author(s): Jiakai Gong, Nuo Yu, Fen Han, Bin Tang, Haolong Wu, Yuan Ge
Pages: 5371 - 5380

Author(s): Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, D. Nagarajan
Pages: 5381 - 5391

Author(s): Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang
Pages: 5392 - 5402

Author(s): Linfang Yu, Zhen Qin, Liqun Xu, Zhiguang Qin, Kim-Kwang Raymond Choo
Pages: 5403 - 5417

Author(s): Chan Young Koh, Mohamed Ali, Abdeltawab Hendawi
Pages: 5418 - 5430

Author(s): Jiayi Li, Zhenyu Lei, Zhiming Zhang, Haotian Li, Yuki Todo, Shangce Gao
Pages: 5431 - 5441

Author(s): Pradeep Kumar Chaudhary, Ram Bilas Pachori
Pages: 5442 - 5451

Author(s): Zhuoqing Liu, Tong Yang, Yongchun Fang, Ning Sun
Pages: 5452 - 5464

Author(s): Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang
Pages: 5465 - 5477

Author(s): Shuo Zhao, Zikun Zhu, Xin Li, Ying-Chi Chen
Pages: 5478 - 5492

Author(s): Rui Wang, Wei Liu, Kaiwen Li, Tao Zhang, Ling Wang, Xin Xu
Pages: 5493 - 5508

Author(s): Jino Jayan, Lal Priya P.S., Hari Kumar R.
Pages: 5509 - 5518

Author(s): Jipeng Li, Xueqiong Yuan, Ercan Engin Kuruoglu
Pages: 5519 - 5529

Author(s): Zijian Gao, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang
Pages: 5530 - 5539

Author(s): Haoran Duan, Beibei Yu, Cheng Xie
Pages: 5540 - 5552

Author(s): Zeenat Firdosh Quadri, M. Saqib Akhoon, Sajad A. Loan
Pages: 5553 - 5560

Author(s): Yong Wang, Yu Zhou, Pei-Qiu Huang
Pages: 5561 - 5574

Author(s): Zihan Jiang, Yiqun Ma, Bingyu Shi, Xin Lu, Jian Xing, Nuno Gonçalves, Bo Jin
Pages: 5575 - 5588

Author(s): Van Sy Mai, Richard J. La, Tao Zhang
Pages: 5589 - 5604

Author(s): J. Bhattacharya, A. Gupta, M. N. Dretsch, T. S. Denney, G. Deshpande
Pages: 5605 - 5615

Author(s): Yibo He, Kah Phooi Seng, Li Minn Ang
Pages: 5616 - 5629

Author(s): Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, Partha Pratim Das
Pages: 5630 - 5642

Author(s): Sibghatullah Inayatullah Khan, Ram Bilas Pachori
Pages: 5643 - 5654

Author(s): Neeraj Gupta, Mahdi Khosravy, Antoine Pasquali, Olaf Witkowski
Pages: 5655 - 5665

Author(s): Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, Li Chen
Pages: 5666 - 5675

Author(s): Priyanti Paul Tumpa, Md. Saiful Islam
Pages: 5676 - 5688

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

Author(s): Ghufran Ahmad Khan, Jalaluddin Khan, Taushif Anwar, Zubair Ashraf, Mohammad Hafeez Javed, Bassoma Diallo
Pages: 5699 - 5708

Author(s): Ashwini B., Deeptanshu, Sheffali Gulati, Jainendra Shukla
Pages: 5709 - 5719

Author(s): Xinliang Zhou, Chenyu Liu, Ruizhi Yang, Liangwei Zhang, Liming Zhai, Ziyu Jia, Yang Liu
Pages: 5720 - 5732

Author(s): Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Son Lam Phung, Hoang Thanh Le, Hamza Baali
Pages: 5733 - 5745

Author(s): Shilin Zhang, Chenlin Yi
Pages: 5746 - 5759

Author(s): Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng
Pages: 5760 - 5770

Author(s): Jinbo Li, Peng Liu, Long Chen, Witold Pedrycz, Weiping Ding
Pages: 5771 - 5785

Author(s): Yikai Li, Tong Zhang, C. L. Philip Chen
Pages: 5786 - 5800

Author(s): Wenming Cao, Aoyu Zhang, Zhihai He, Yicha Zhang, Xinpeng Yin
Pages: 5801 - 5814

Author(s): Jun Fu, Yan Wang
Pages: 5815 - 5827

Author(s): Zhongyuan Guo, Jiawei Li, Jia Lei, Jinyuan Liu, Shihua Zhou, Bin Wang, Nikola K. Kasabov
Pages: 5828 - 5843

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

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

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

Wednesday, November 13, 2024

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

Friday, November 8, 2024

Weekly Review 8 November 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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/

Thursday, November 7, 2024

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

Author(s): Edwin Lughofer, Igor Škrjanc
Pages: 5998 - 6011

Author(s): Yangang Yao, Yu Kang, Yunbo Zhao, Pengfei Li, Jieqing Tan
Pages: 6012 - 6022

Author(s): Qidong Li, Changchun Hua, Kuo Li, Hao Li
Pages: 6023 - 6034

Author(s): Tao Wu, Jinde Cao, Lianglin Xiong, Ju H. Park, Hak-Keung Lam
Pages: 6035 - 6043

Author(s): Yunyi Yang, Guoguang Wen, Yidi Wang, Zhaoxia Peng, Kai Xiong
Pages: 6044 - 6055

Author(s): Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz
Pages: 6056 - 6068

Author(s): Shanshan Sun, Yuan-Xin Li, Zhongsheng Hou
Pages: 6069 - 6078

Author(s): Changyi Xu, Chenyang Zhao, Fengyuan Zhang, Chao Zhang, Zhongyang Fei
Pages: 6079 - 6087

Author(s): Hao Ying, Feng Lin
Pages: 6088 - 6100

Author(s): Wen-Hu Chen, Chuan-Ke Zhang, Zhou-Zhou Liu, Leimin Wang, Yong He
Pages: 6101 - 6111

Author(s): Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu
Pages: 6112 - 6124

Author(s): Jiayi Lei, Yuan-Xin Li, Shaocheng Tong
Pages: 6125 - 6135

Author(s): Guopin Liu, Yu Zhang, Changchun Hua, Yafeng Li, Jiannan Chen
Pages: 6136 - 6148

Author(s): Zhenhua Wang, Lanshuang Zhang, Choon Ki Ahn, Yi Shen
Pages: 6149 - 6159

Author(s): Yang Wu, Yue-Ying Wang, Xiang-Peng Xie, Zheng-Guang Wu, Huai-Cheng Yan
Pages: 6160 - 6171

Author(s): Xiaofei Fan, Tao Li
Pages: 6172 - 6184

Author(s): Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, Jing Cai
Pages: 6185 - 6198

Author(s): Han Li, Zidong Wang, Nianyin Zeng, Peishu Wu, Yurong Li
Pages: 6199 - 6213

Author(s): Lin Xiao, Dan Wang, Liu Luo, Jianhua Dai, Xiangru Yan, Jichun Li
Pages: 6214 - 6223

Author(s): Chuang Wang, Pengjiang Qian, Zhihuang Wang, Weiwei Cai, Jian Yao, Yi-Zhang Jiang, Xiangyu Yan, Wenjun Hu
Pages: 6224 - 6236

Author(s): Peng Wan, Zhigang Zeng
Pages: 6237 - 6251

Author(s): Hao Wen, Wen Fu, Wu Chen, Jiale Huan, Changsheng Li, Xingguang Duan
Pages: 6252 - 6266

Author(s): Yang Zhang, Changzhong Wang, Yang Huang, Weiping Ding, Yuhua Qian
Pages: 6267 - 6276

Author(s): Feng Lin, Hao Ying
Pages: 6277 - 6287

Author(s): Erhao Zhou, Fu-Lai Chung, Shitong Wang
Pages: 6288 - 6302

Author(s): Jia-Du Zhang, Tao Han, Bo Xiao, Chang-Duo Liang, Huaicheng Yan
Pages: 6303 - 6313

Author(s): Xiaowei Gu, Qiang Ni, Qiang Shen
Pages: 6314 - 6328

Author(s): Xuanxuan An, Luyi Bai, Longlong Zhou, Jingni Song
Pages: 6329 - 6339

Author(s): Qingqi Hong, Chuanfeng Yang, Jiahui Chen, Zihan Li, Qingqiang Wu, Qingde Li, Jie Tian
Pages: 6340 - 6349

Author(s): Marius F. R. Juston, Samuel R. Dekhterman, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu
Pages: 6350 - 6362

Author(s): Mengmeng Liu, Jinyong Yu, Ke Zhao
Pages: 6363 - 6377

Author(s): Chao Wang, Li Yan, Zongmin Ma
Pages: 6378 - 6387

Author(s): Jing Wang, Yaling Huang, Xiangpeng Xie, Huaicheng Yan, Hao Shen
Pages: 6388 - 6398

Author(s): Mengyuan Cui, Shaocheng Tong
Pages: 6399 - 6408

Author(s): Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Honggui Han, Dezheng Zhao
Pages: 6409 - 6423

Author(s): Chenglong Zhu, Xueling Ma, Pierpaolo D'Urso, Yuhua Qian, Weiping Ding, Jianming Zhan
Pages: 6424 - 6438

Author(s): Subramanian Kuppusamy, Samson S. Yu, Hieu M. Trinh, Peng Shi
Pages: 6439 - 6448

Author(s): Ying Chen, Qian Ma
Pages: 6449 - 6459

Author(s): Bo-Ming Chen, Zi-Peng Wang, Feng-Liang Zhao, Junfei Qiao, Huai-Ning Wu, Tingwen Huang
Pages: 6460 - 6471

Author(s): Zhen Pang, Hai Wang, Jun Cheng, Shengda Tang, Ju H. Park
Pages: 6472 - 6485

Author(s): Peide Liu, Xue Wang, Yingxin Fu, Peng Wang
Pages: 6486 - 6499

Author(s): Chao Li, Jiapeng Liu, Xinkai Chen, Jinpeng Yu
Pages: 6500 - 6511

Author(s): Yunshuai Ren, Xiangpeng Xie, Jiayue Sun, Xiaoming Wu
Pages: 6512 - 6522

Author(s): Yan Zhang, Xin Yan, Wencheng Zou, Zhengrong Xiang
Pages: 6523 - 6533

Author(s): Jipeng Zhao, Guang-Hong Yang
Pages: 6534 - 6547

Author(s): Dingyuan Chen, Cuili Yang, Dapeng Li, Junfei Qiao
Pages: 6548 - 6559

Author(s): Zhenhua Li, Hongtian Chen, Hak-Keung Lam, Wentao Wu, Weidong Zhang
Pages: 6560 - 6572

Author(s): Xiang Zhang, Shuping He, Zhihuan Hu, Ruonan Liu, Hongtian Chen, Weidong Zhang
Pages: 6573 - 6582

Author(s): Gholamreza Hesamian, Arne Johannssen
Pages: 6583 - 6587

Author(s): Lulin Zhang, Zhuoxue Li, Yi Li, Jiuxiang Dong
Pages: 6588 - 6593


Friday, November 1, 2024

Weekly Review 1 November 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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/

Friday, October 25, 2024

Weekly Review 25 October 2024

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, 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/