Friday, April 19, 2024

Weekly Review 19 April 2024

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

  1. The three things an organisation needs to update before investing in AI:
  2. 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:
  3. Another burst of activity in the AI sphere as three major new models are released:
  4. AI controlled fighters. You want SkyNet? Because this is how you get SkyNet:
  5. How AI is impacting cloud strategies:
  6. There is no such thing as a politically unbiased AI:
  7. An algorithm that can tell if a large language model AI is lying:
  8. Three ways in which academics can use generative AI responsibly:
  9. The problem with training AI on synthetic data-data generated by AI-is that it quickly breaks everything:
  10. AI can be used to defend, as well as attack, democracy:
  11. AI generated spam and clickbait websites are only going to get worse, as long as businesses pay to advertise on them:
  12. Students' views on the use of AI in science education:
  13. Some of the positions at academic institutions that will be impacted by AI:
  14. How AI is going to help sustainability:
  15. A new bill requires notification of the copyrighted material used to train AI:
  16. An AI can act as if it knows less than it does:
  17. Don't use AI to do your peer review, OK? If I ask you to review a paper, it's because you're an expert. AI aren't experts: 
  18. Predictions from this joker tend to be pretty far off the mark with regards to timing, but not in substance. What he says about AI is no different:
  19. I certainly support open source AI, it has many advantages:
  20. A brief example of using the OpenAI API with Python. Beware, though, you need a paid subscription to use the API:
  21. How long before someone writes an AI that handles their interactions with this AI matchmaker?
  22. Why people choose to stay in academia:
  23. Some tips on how new PhDs can get academic positions:
  24. Hire or train, there aren't enough AI experts to meet the market demands:

Friday, April 12, 2024

Weekly Review 12 April 2024

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

    1. So Amazon's "AI" driven cashier-less supermarket was really run by remote workers in India:
    2. The job cuts in New Zealand universities. Things won't get better under the new government, either:
    3. Generative AI can help workers be more productive, but most of those benefits go to new staff:
    4. AI voice cloning now needs only a 15 second sample to copy someone's voice:
    5. There is definitely an AI bubble, like there was with the Internet 25 years ago. The question is, when is the bubble going to burst?
    6. I'm not so worried about using AI to catch Aucklanders putting the wrong things in their recycling bins, as I am about the recycling collection trucks blocking my driveway with the bins:
    7. AI is the new Internet - tech execs want to put it into everything:
    8. I'm not convinced how useful human business coaches are, I don't think an AI one would be any better or worse:
    9. US$115 billion for a new data centre, consuming gigawatts of electricity, to run AI:
    10. This trick for detecting students' use of AI to write their essays will only work if students don't read what they are pasting into the prompt, but if they were that attentive to detail they probably wouldn't have to use  AI:
    11. Converting 2D synthetic aperture radar images of cities into 3D models using AI:
    12. Generative AI have no grasp of reality, so what they come out with sometimes isn't very useful for businesses:
    13. AI enhanced video shouldn't be admissible in court. It's not an "enhancement", it's a guess made by a machine:
    14. Two factors that affect the profitability of farming are weather and market volatility. AI can help with modelling both of these:
    15. What a organisation's Chief AI Officer (CAIO) might do:
    16. Another condensed history of AI:
    17. AI are built from data, so old media repositories like Photobucket are getting new life by selling the data they hold:
    18. Facebook and Instagram now require labelling of AI generated media-but how are they going to enforce this?
    19. I wonder if an AI would be better at detecting alien signals, because all of the aliens are AI?
    20. A million hours of transcribed YouTube videos went into ChatGPT4. The hunger for data of generative AI is just insatiable:
    21. AI assistants will be an interface to existing application infrastructure, I don't think they will replace it:
    22. Contributions that AI could make to agriculture: I was working on AI in crop protection 20 years ago.
    23. Scammers using AI generated lawyers to pump-up backlinks to websites:
    24. Current watermarking of AI generated content is easy to defeat:

    Friday, April 5, 2024

    Weekly Review 5 April 2024

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

    1. Adobe's ethical generative AI system:
    2. Higher impact factor journals are less inclusive of non-English speaking authors:
    3. Reinforcement learning enables a robot to learn to walk over uneven terrain:
    4. Job applications from AI that are then processed by AI. It's just machines talking to machines, insulating people from talking to one another:
    5. Laws that prevent the use of AI to mimic performers voices are being passed:
    6. Making beer better with AI:
    7. AI produces better climate models, faster than traditional approaches:
    8. Google's AI can discover new inorganic crystals at a very high rate:
    9. Will AI really help preserve the Maori language, or will it propagate a hallucinated facsimile of it?
    10. I prefer to follow the Open Source Initiative's definition of what is open source, which makes a lot of the AI out there NOT open source:
    11. Wow, people really don't like AI generated art:
    12. An AI tool for inventorying houses for a moving company, and the trevails its founders went through to get the company running:
    13. There is no causative link between tweeting about your research paper and the number of citations it garners:
    14. Google's AI search apparently lacks the intelligence to not recommend scam sites:
    15. A substantial proportion of researchers in AI are Chinese, and more of them are staying in China rather than emigrating:
    16. How long until the entire game is generated by AI, not just the artwork?
    17. The risks of using AI in research articles:
    18. AI that learn from other AI:
    19. This article on a huge AI processor reads like it was written using one:
    20. AI is going to be a big player in this year's elections around the world:
    21. The hazards of biased AI in healthcare:
    22. We desperately need tools to detect deepfakes:
    23. AI can now design novel enzymes:
    24. On the importance of labelling data for use in training AI:

    Monday, April 1, 2024

    Complex and Intelligent Systems, Volume 10, Issue 2, April 2024

    Author(s): Xuemei Hu, Lan Huang, Yan Wang
    Pages: 1667 - 1687

    Author(s): Xiaoyu Du, Song Tao, Yi Zhou
    Pages: 1689 - 1702

    Author(s): Yingli Liu, Jianfeng Zheng, Tao Shen
    Pages: 1703 - 1714

    Author(s): Bo Wang, Fusheng Bai, Ke Zhang
    Pages: 1715 - 1732

    Author(s): Zhaojie Sun, Xuan Wang, Cuicui Lv
    Pages: 1733 - 1768

    Author(s): Canghong Shi, Xian Zhang, Jiancheng Lv
    Pages: 1769 - 1786

    Author(s): Rongrong Ni, Yanan Lu, Xiaofeng Liu
    Pages: 1787 - 1799

    Author(s): Muhammad Naeem Khan Tanoli, Muhammad Gulistan, Mohammed M. Al-Shamiri
    Pages: 1801 - 1843

    Author(s): Qingyong Yang, Shu-Chuan Chu, Junzo Watada
    Pages: 1845 - 1877

    Author(s): Maryam Gillani, Hafiz Adnan Niaz
    Pages: 1879 - 1897

    Author(s): Shan Zhao, Xuan Wu, Yang Yuan
    Pages: 1899 - 1916

    Author(s): Chi Sun, Xianhe Wang, Chak Yin Tang
    Pages: 1917 - 1926

    Author(s): Tuo Qu, Fuqing Duan, Wenzhen Huang
    Pages: 1927 - 1936

    Author(s): Zijjian Wang, Yuxuan Huang, Long Chen
    Pages: 1937 - 1952

    Author(s): Yuting Ling, Yuan Li, Jianhua Qu
    Pages: 1953 - 1969

    Author(s): Tonglin Luo, Xuchu Jiang
    Pages: 1971 - 1983

    Author(s): Xianglong Li, Yuan Li, Donghong Liu
    Pages: 1985 - 1995

    Author(s): Man-Wen Tian, Khalid A. Alattas, Chunwei Zhang
    Pages: 1997 - 2012

    Author(s): Jintao Liu, Zhonghong Wu, Lianlian Liu
    Pages: 2013 - 2027

    Author(s): Chuanjin Zhu, Xia Wang
    Pages: 2029 - 2046

    Author(s): Guoyan Yu, Ruilin Cai, Ruoling Deng
    Pages: 2047 - 2066

    Author(s): Junzheng Wu, Eric Paquet, Wojtek Michalowski
    Pages: 2067 - 2082

    Author(s): Yan Wan, Junfeng Li
    Pages: 2083 - 2105

    Author(s): Lijun Fan
    Pages: 2107 - 2128

    Author(s): Rui Zhong, Enzhi Zhang, Masaharu Munetomo
    Pages: 2129 - 2149

    Author(s): Xie Lei, Deng Shilin, Zhang Zhuoran
    Pages: 2151 - 2172

    Author(s): Mingyuan Li, Yadong Dong, Xiangyang Ren
    Pages: 2173 - 2185

    Author(s): Lina Zhang, Xianhua Song, Bassem Abd-El-Atty
    Pages: 2187 - 2213

    Author(s): Zitang Sun, Zhengbo Luo, Shin’ya Nishida
    Pages: 2215 - 2231

    Author(s): Yongchuan Tang, Zhaoxing Sun, Yubo Huang
    Pages: 2233 - 2247

    Author(s): Bratislav Predić, Luka Jovanovic, Milos Dobrojevic
    Pages: 2249 - 2269

    Author(s): Sameh Abd-Elhaleem, Mohamed A. Hussien, Tarek A. Mahmoud
    Pages: 2271 - 2297

    Author(s): Shilin Yu, Yuantao Song
    Pages: 2299 - 2325

    Author(s): Peide Liu, Qaisar Khan, Fawad Hussain
    Pages: 2327 - 2386

    Author(s): Yilong Lv, Min Li, Yujie He
    Pages: 2387 - 2400

    Author(s): Quan Liu, Mincheng Cai, Jun Yang
    Pages: 2401 - 2419

    Author(s): Libin Hong, Xinmeng Yu, John Woodward
    Pages: 2421 - 2443

    Author(s): Ye Li, Lei Wu, Zhiguo Wang
    Pages: 2445 - 2458

    Author(s): Jiliang Zhao, Handing Wang, Zhiqiang Gong
    Pages: 2459 - 2475

    Author(s): Hassaan Malik, Ahmad Naeem, Seung-Won Lee
    Pages: 2477 - 2497

    Author(s): Jianjun Huang, Zihao Rui, Li Kang
    Pages: 2499 - 2514

    Author(s): Xiaohu Shi, Ying Chang, Yi Yang
    Pages: 2515 - 2529

    Author(s): Yuan Wang, Zhenbin Du, Yanming Wu
    Pages: 2531 - 2539

    Author(s): Liujie Hua, Qianqian Qi, Jun Long
    Pages: 2541 - 2555

    Author(s): Tianping Li, Zhaotong Cui, Dongmei Wei
    Pages: 2557 - 2568

    Author(s): Jie Wang, Xing Chen, Xiao-Lei Zhang
    Pages: 2569 - 2584

    Author(s): Chenyang Li, Yonghui Yang, Xue-Bo Chen
    Pages: 2585 - 2604

    Author(s): Hariwan Z. Ibrahim, Tareq M. Al-shami, M. Hosny
    Pages: 2605 - 2625

    Author(s): Youkai Jin, Anping Zhao
    Pages: 2627 - 2638

    Author(s): Lang Wu
    Pages: 2639 - 2652

    Author(s): Wenjian Tao, Jinxiu Zhang, Jihe Wang
    Pages: 2653 - 2672

    Author(s): Zhenni Li, Shiqiang Li, Yue Yu
    Pages: 2673 - 2688

    Author(s): Xingfeng Lv, Jun Ma, Qianqian Ren
    Pages: 2689 - 2701

    Author(s): Guoyu Zhou, Zhenchao Cui, Jing Qi
    Pages: 2703 - 2715

    Author(s): Zhen Zheng, Rui Li, Cheng Liu
    Pages: 2717 - 2731

    Author(s): Xinjing Song, Di Wang, Yanjiang Wang
    Pages: 2733 - 2750

    Author(s): Zhao Zhang, Xiaokang Lei, Xingguang Peng
    Pages: 2751 - 2764

    Author(s): Muhammad Jamil, Farkhanda Afzal, Abdul Bariq
    Pages: 2765 - 2779

    Author(s): Biao Zhang, Chao Lu, Xu-chu Jiang
    Pages: 2781 - 2809

    Author(s): Wei Sun, Yulong Tian, Yanning Zhang
    Pages: 2811 - 2823

    Author(s): Weiqing Yan, Shile Liu, Jindong Xu
    Pages: 2825 - 2837

    Author(s): Hui Chen, Yuanshou Qin, Jinling Zhao
    Pages: 2839 - 2849

    Author(s): Hongjia Liu, Yubin Xiao, You Zhou
    Pages: 2851 - 2868

    Author(s): Hao Zhang, Yanan Liu, Dan Xu
    Pages: 2869 - 2881

    Author(s): Yi Zhou, Yihan Liu, Ning Lu
    Pages: 2883 - 2900

    Author(s): Yuxiao Zhang, Jin Wang, Guodong Lu
    Pages: 2901 - 2918

    Author(s): Quanzheng Yao, Xianhua Song, Wei Xie
    Pages: 2919 - 2936

    Author(s): Di Ge, Yuhang Cheng, Yanwen Wu
    Pages: 2937 - 2950

    Author(s): Haolun Wang, Liangqing Feng, Harish Garg
    Pages: 2951 - 2982

    Author(s): Shivani, Deepika Rani, Gourav Gupta
    Pages: 2983 - 3002

    Author(s): Hongchang Ke, Hui Wang, Hongbin Sun
    Pages: 3003 - 3023

    Author(s): Xiumei Zhang, Wensong Li, Fang Liu
    Pages: 3025 - 3039

    Author(s): Fang Liu, Zhongli Zhou, Yi Liu
    Pages: 3041 - 3056

    Author(s): Tarek A. Mahmoud, Mohammad El-Hossainy, Raafat Shalaby
    Pages: 3057 - 3085

    Author(s): Yuxiao Zhang, Jin Wang, Long Chen
    Pages: 3087 - 3106

    Author(s): Ran Guo, Wenjiang Li, Jing Qiu
    Pages: 3107 - 3118

    Author(s): Yupu Guo, Fei Cai, Honghui Chen
    Pages: 3119 - 3132

    Author(s): Tie Zhang, Jia Cheng, Yanbiao Zou
    Pages: 3133 - 3152

    Author(s): Zheng Chen, Zhejun Liu
    Pages: 3153 - 3167

    Author(s): Xudong Feng, Zhening Liu, Handing Wang
    Pages: 3169 - 3180

    Saturday, March 30, 2024

    Evolving Systems, Volume 15, Issue 2

    Author(s): B. Indira Priyadarshini, D. Krishna Reddy
    Pages: 249 - 265

    Author(s): Xiaoyan Lu, Yang Xu, Wenhao Yuan
    Pages: 267 - 283

    Author(s): Laila Oubahman, Szabolcs Duleba
    Pages: 285 - 302

    Author(s): Abdelhamid Saifi, Farid Nouioua, Samir Akhrouf
    Pages: 303 - 320

    Author(s): Rupali Mohanty, Debashis Chatterjee, Swati Suman
    Pages: 321 - 333

    Author(s): Parijata Majumdar, Sanjoy Mitra, Diptendu Bhattacharya
    Pages: 335 - 360

    Author(s): G. Keerthi, M. S. Abirami
    Pages: 361 - 374

    Author(s): Sandeep MB. R. Chandavarkar, Sagar Khatri
    Pages: 375 - 396

    Author(s): Peng Yin, Wanbo Yu
    Pages: 397 - 412

    Author(s): Simarjit Kaur, Anju Bala, Anshu Parashar
    Pages: 413 - 427

    Author(s): Deepika Kaushik, Mohammad Nadeem
    Pages: 429 - 454

    Author(s): Rui Li, Jintao Gu
    Pages: 455 - 467

    Author(s): Ashwin Raut, Manish Kumar Maurya, Manish Kumar
    Pages: 469 - 488

    Author(s): Saman Khamesian, Hamed Malek
    Pages: 489 - 503

    Author(s): S. Suganyadevi, V. Seethalakshmi
    Pages: 505 - 521

    Author(s): Prasenjit Dhar, K. Suganya Devi, P. Srinivasan
    Pages: 523 - 539

    Author(s): Siba Prasad Mishra, Pankaj Warule, Suman Deb
    Pages: 541 - 554

    Author(s): Seyyed Vahid Ghasemzadeh, Behrouz Safarinejadian
    Pages: 555 - 573

    Author(s): Arthur C. Vargas Pinto, Larissa C. C. da Silva, Eduardo P. de Aguiar
    Pages: 575 - 590

    Author(s): Morteza Jouyban, Soodeh Hosseini
    v591 - 609

    Author(s): Ana Cláudia Oliveira e Souza, Maurício Bezerra de Souza Jr., Flávio Vasconcelos da Silva
    Pages: 611 - 633

    Author(s): Eduardo Soares, Plamen Angelov, Daniel Abe
    Pages: 635 - 640

    Author(s): Brijesh Bakariya, Arshdeep Singh, Krishna Kumar Mohbey
    Pages: 641 - 658

    Author(s): Pranjal Kumar, Siddhartha Chauhan
    Pages: 659 - 667

    Author(s): Dianes David, A. H. Alamoodi, Juliana Chen
    Pages: 669 - 686

    Author(s): Xiaoyan Li, Dragan Rodriguez
    Pages: 687 - 687

    Author(s): Chengliang Wang, Wenrui LiDragan Rodriguez
    Pages: 689 - 689

    Friday, March 29, 2024

    Weekly Review 29 March 2024

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

    1. Ways in which AI can speed up drug clinical trials:
    2. A general purpose, AI enabled industrial robot that can be taught by humans remotely:
    3. 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:
    4. The use and misuse of Red Teaming when testing AI:
    5. Despite what Microsoft says, we need regulations to prevent further harm from AI:
    6. AI is not a panacea. If the roads are already at their maximum capacity, it doesn't matter how cleverly you manage the traffic, it's going to get jammed:
    7. More doom from an AI expert:
    8. YouTube's tools for labelling AI generated material:
    9. An agricultural robot that uses AI to monitor crop health:
    10. Like any other hot topic, there will be people who prey on others to make easy money. AI is no exception:
    11. Problems arise when AI start to replace human participants in qualitative studies:
    12. Cloaking phishing emails to get them past AI filters:
    13. Mushroom identification with AI isn't a terribly hard problem, but it is still far from perfect enough to trust your life with:
    14. AI voice cloning. I don't particularly like my voice, why would I want to change it to another language?
    15. Generative AI will cause a lot of changes in businesses, but it's not there yet:
    16. Basically, generative AI is not very detail oriented:
    17. I'll say it again (statistically) biased data results in biases models. This is something I teach my first-year, first-semester AI students, yet companies still seem to struggle with the concept:
    18. Like every other technology, AI will destroy some jobs but create others. Now it's being forecast that AI will create half a billion new jobs in the next ten years:
    19. Another AI generated work, with some real howlers:
    20. Improved breast cancer diagnosis with AI:
    21. Deepfake porn continues to be an issue:
    22. Universities are building their own AI chatbots:
    23. As the size of AI models increases, so too does the power of hardware used to train them:
    24. An overview of the EU's AI law:

    Friday, March 22, 2024

    Weekly Review 22 March 2024

    Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmastBluesky and Post): 
    1. The "AI Sandbox", a community hub in Nelson for learning about AI:
    2. Something interesting is going on with ChatGPT-when given prompts that cause it to slow down its reasoning, it does better at solving non-intuitive problems:
    3. The pitfalls of scientists trusting AI too much:
    4. So companies can save money on writing code, to spend it instead on checking and testing code? That is not an improvement:
    5. An AI foundation model for industrial robots:
    6. Just how badly does Nvidia dominate the chip market in AI?
    7. It's possible to build an AI hunter-killer drone that targets a specific person in just a few hours:
    8. How to use Nightshade to stop your art from being used to train generative AI:
    9. Using AI to find new alloys:
    10. I wonder how many companies are out there whose AI is really underpaid overseas workers?
    11. I just hope the AI Spark uses to replace workers is more useful than the one Watercare uses:
    12. An AI-enabled bicycle light that detects cars and runs on a Raspberry Pi:
    13. Five (bad) things that happened with social media can also happen with AI:
    14. Ten steps to building an AI application in Python:
    15. Replacing workers with AI makes other workers unhappy. Do we really need a study to know this?
    16. Europe wants a treaty to make sure that AI respect human rights. The USA doesn't want this to apply to private companies. Why not?
    17. OpenAI is now getting legal access to news publishers' content:
    18. While OpenAI is ahead in generative AI at the moment, it'd be naïve to believe that they will always be so:
    19. And the hackers are rubbing their hands in glee-AI generated code is known to be full of vulnerabilities:
    20. Where the generative AI market could be going this year:
    21. European standards and regulations around AI are now law:
    22. Forestry management with AI:
    23. Monitoring your employees is going to make them unhappy anyway, using AI just makes it worse:
    24. Repackaging other peoples' work using AI is still using other peoples' work:

    Friday, March 15, 2024

    Weekly Review 15 March 2024

    Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmastBluesky and Post):
    1. AI papers that are promoted by just two influencers are getting many more citations than other papers:
    2. Of course AI are tools rather than creatures. AI are algorithms, not magic. There's no vital force that somehow makes them living beings:
    3. One of the first things I was taught as an undergrad is "don't speed up the mess". Use of generative AI to help write papers isn't going to make bad work good:
    4. Interesting that the privacy commissioner is already taking an interest in the use of face recognition AI in supermarkets:
    5. Using an AI to make dates for yourself is so ripe for abuse it's frightening. Is it really so hard to meet people now? (says the guy who has been married for 21 years):
    6. People are building AI based on outdated and biased data about human body proportions:
    7. Not surprising that robot makers want to embed AI into their products, it's what will make the robots useful. Not sure how I feel about a hallucinating humanoid robot, though:
    8. Makes me wonder which side of the political divide most needs to use AI to fake photographs:
    9. Why Meta's watermarking of AI generated images doesn't work, and what we can do about the problem:
    10. A generative AI for making music:
    11. Proof-of-concept of a worm that targets generative AI, stealing data as it goes:
    12. Turns out we don't really understand how Large Language Model AI works. Why do they improve instead of over-fitting?
    13. Using deep learning Neural Networks to improve weather predictions:
    14. The job of generative AI prompt engineering is going to disappear, largely because machines can do it better, and nobody understands how the prompts give the results they do:
    15. People do not trust AI, and the wealthier the country, the less trust there is. Is this related to the trust (or lack thereof) in the big tech companies dominating AI?
    16. Will audiences really shun AI generated movies?
    17. More details on the energy and environmental cost of AI:
    18. Just how bad AI generated images can be:
    19. Why openness and transparency in AI models is a good thing:
    20. I am skeptical that we will ever see super intelligent AI, certainly not in the next three years:
    21. Laying out guidelines around using generative AI to design proteins, to prevent them being used as weapons:
    22. Using crypto to track the provenance of AI generated media:
    23. AI can be a real boon to the environment, but is can also be a bane, including worsening the misinformation (that is, corporate lies) around climate change:
    24. India is building their own AI supercomputer:

    Monday, March 11, 2024

    Soft Computing. Volume 28, Issue 6, March 2024

    Author(s): R. Prem Kumar, Sanjoy Basu, A. Al-khedhairi
    Pages: 4689 - 4713

    Author(s): Abd El-Mohsen Badawy, Kamal El-Saady, Essam Abd El-Baset
    Pages: 4715 - 4724

    Author(s): Wei Wang, Qing Li, Zihan Wang
    Pages: 4725 - 4741

    Author(s): Smriti Srivastava, Rajesh Kumar
    Pages: 4743 - 4758

    Author(s): Snigdha Chaturvedi, Narendra Kumar, Rajesh Kumar
    Pages: 4759 - 4773

    Author(s): Guanru Tan, Teng Zhou, Zhizhe Lin
    Pages: 4775 - 4790

    Author(s): A. A. Khan, S. Mir, A. Zaman
    Pages: 4791 - 4798

    Author(s): Yan Chen, Qiuling Tang, Hua Ma
    Pages: 4799 - 4820

    Author(s): Roghayeh Mojarad, Abdelghani Chibani, Yacine Amirat
    Pages: 4821 - 4845

    Author(s): Thiago Wanderley de Amorim, Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho
    Pages: 4847 - 4860

    Author(s): Mohsen Arefi, Amir Hamzeh Khammar
    Pages: 4861 - 4871

    Author(s): Ali Yeganeh, Saddam Akber Abbasi, Ali Reza Shadman
    Pages: 4873 - 4897

    Author(s): Sirisha Uppuluri, G. Lakshmeeswari
    Pages: 4899 - 4914

    Author(s): Somayeh Emami, Vahid Rezaverdinejad, Ahmed Elbeltagi
    Pages: 4915 - 4931

    Author(s): ZhuoQun Xia, Guanghui Wang, Hongrui Li
    Pages: 4933 - 4950

    Author(s): Maryam Ejaz, Qiang Ling
    Pages: 4951 - 4966

    Author(s): Chuan Zhang, Yu-Xin Tian
    Pages: 4967 - 4986

    Author(s): Shahriar Farajdadian, Seyed Mohammad Hassan Hosseini
    Pages: 4987 - 5014

    Author(s): Mousumi Basu
    Pages: 5015 - 5027

    Author(s): Linh T. Duong, Toan B. Tran, Phuong T. Nguyen
    Pages: 5029 - 5044

    Author(s): Jan Wolter, Thomas Hanne
    Pages: 5045 - 5056

    Author(s): K. Jagatheesan, D. Boopathi, Nilanjan Dey
    Pages: 5057 - 5070

    Author(s): Chia-Li Lin
    Pages: 5071 - 5096

    Author(s): Shouvik Chakraborty, Kalyani Mali
    Pages: 5097 - 5124

    Author(s): Min Zhang, Haiyang Hu, Jie Chen
    Pages: 5125 - 5135

    Author(s): Ashima Anand
    Pages: 5137 - 5154

    Author(s): M. Mubeen Tajudeen, M. Syed Ali, Bashir Ahmad
    Pages: 5155 - 5171

    Author(s): Mohammad Ali Nezafat Tabalvandani, Mirsaeid Hosseini Shirvani, Homayun Motameni
    Pages: 5173 - 5196

    Author(s): Chia-Wen Chang, Chin-Wang Tao
    Pages: 5197 - 5211

    Author(s): Nabilah Abughazalah, Lal Said, Majid Khan
    Pages: 5213 - 5223

    Author(s): Ali Alizadeh, Farhad Soleimanian Gharehchopogh, Ahmad Jafarian
    Pages: 5225 - 5261

    Author(s): W. Alhejili, M. M. Khader, M. Adel
    Pages: 5263 - 5273

    Author(s): R. P. Prem Anand, V. Senthilkumar, A. Rajaram
    Pages: 5275 - 5285

    Author(s): Ashish Sharma, Satyasai Jagannath Nanda
    Pages: 5287 - 5320

    Author(s): Hsu-Chih Huang, Sendren Sheng-Dong Xu, Yu-Xiang Chen
    Pages: 5321 - 5337

    Author(s): Shuli Yan, Yingying Zeng, Na Zhang
    Pages: 5339 - 5357

    Author(s): Shouvik Chakraborty, Kalyani Mali
    Pages: 5359 - 5436

    Author(s): Mehmet Şahin
    Pages: 5437 - 5460

    Author(s): Hanna Rakytyanska
    Pages: 5461 - 5478

    Author(s): Sajjad Ayazi, Alireza Askarzadeh
    Pages: 5479 - 5492

    Author(s): Xiaoqi Zhao, Haipeng Qu, Gai-Ge Wang
    Pages: 5493 - 5522

    Author(s): Anand B. Joshi, Abdul Gaffar
    Pages: 5523 - 5540

    Author(s): Jujie Wang, Qian Cheng, Xin Sun
    Pages: 5541 - 5556

    Author(s): Guoxiang Tong, Deyun Li, Xuemei Liu
    Pages: 5557 - 5575

    Author(s): Saroj K. Meher, Neeta Sharma Kothari, Ganapati Panda
    Pages: 5577 - 5589

    Author(s): DeChao Qu, Wei Chang
    Pages: 5591 - 5608

    Author(s): Sachin B. Jadhav, Sanjay B. Patil
    Pages: 5609 - 5623

    Author(s): Ling Ding, Wei Du, Shifei Ding
    Pages: 5625 - 5638

    Author(s): Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah
    Pages: 5639 - 5665

    Author(s): Juan Lin, Ailing Shen, Yiwen Zhong
    Pages: 5667 - 5682

    Author(s): P. Shanmugapriya, V. Mohan
    Pages: 5683 - 5698

    Author(s): Bidyut Das, Mukta Majumder, Arif Ahmed Sekh
    Pages: 5699 - 5707

    Author(s): Aditi Ghosh, Parthajit Roy, Paramartha Dutta
    Pages: 5709 - 5720

    Author(s): Elham Amjad, Solmaz Asnaashari, Babak Sokouti
    Pages: 5721 - 5749

    Friday, March 8, 2024

    Weekly Review 8 March 2024

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

    1. If quantum effects in brain cells are the cause of consciousness, could an AI ever become conscious? 
    2. Generative AI hallucinating ingredients for recipes:
    3. AI are getting better to detecting content generated by AI:
    4. Improving chatbots' terrible memory:
    5. Improving Wi-Fi with on-chip AI:
    6. Learning to code is more than learning a programming language-it's learning how to structure your thoughts about a task and process so that they can be translated into a programming language. AI can't do that:
    7. Other technologies have been hailed as making a four-day work week inevitable. Instead, employers demanded more output from five days. I don't see AI changing this trend:
    8. Did Elon Musk really buy Twitter just to get hold of its data for training AI?
    9. Every advance in technology has created more jobs than it destroyed, it's always the nature of the jobs that change. AI is not going to be any different:
    10. Copilot is having delusions of grandeur. How long before other AI start behaving the same way?
    11. Three things that are needed for AI to progress, according to Bill Gates:
    12. So AI generated a load of crap, and that crap was even more badly executed? I don't think we can blame the AI for this debacle:
    13. Parallels between the Willy Wonka experience and the Fyre Fest debacle of 2017. The difference is Fyre Fest used celebrities instead of generative AI to raise unrealistic expectations:
    14. SEO hijacking using AI to rewrite highly-ranked websites:
    15. The insane hardware demands of a growing AI industry:
    16. How AI is (potentially) changing science:
    17. Seems a bit naïve that the owner of a generative AI porn site with a free-form prompt entry system is surprised at the things people enter. If you're going to do that kind of thing, you need to really lock the prompt entry down:
    18. What is Apple going to release in AI? Will it try to convince you that anything not-Apple is bad? Will it passive-aggressively try to convince you to spend more money on Apple products?
    19. A voluntary set of guidelines for responsible generative AI:
    20. How academic programmes need to adapt to AI:
    21. A new approach to breaking guardrails in generative AI:
    22. Using AI to stabilise the plasma in experimental fusion reactors:
    23. Another way AI is impacting the environment-chip fabs and data centres use a lot of water:
    24. Spain is building Large Language Models for their local languages. Can we do the same for Pacific languages as well?
    25. Building an AI for your business can lead to disappointment. Here's how to cope with it:
    26. What is the return on investment of AI?