Artificial Intelligence

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IEEE Transactions on Artificial Intelligence, Volume 6, Issue 10, October 2025

Artificial Intelligence, IEEE TAI, journals, TAI

1) Recommender Systems Based on Nonnegative Matrix Factorization: A SurveyAuthor(s): Sajad Ahmadian, Kamal Berahmand, Mehrdad Rostami, Saman Forouzandeh, Parham Moradi, Mahdi JaliliPages: 2554 – 25742) GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural NetworksAuthor(s): Jacob Sanderson, Hua Mao, Wai Lok WooPages: 2575 – 25873) CenFormer: Transformer-Based Network From Centroid Generation for Point Cloud CompletionAuthor(s): Tran Thanh […]

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Weekly Review 10 October 2025

Artificial Intelligence, Bluesky, Mastodon, Newsmast, Threads, Twitter, weekly review, X

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):AI are starting to detect when they are being tested: https://www.theguardian.com/technology/2025/oct/01/anthropic-ai-model-claude-sonnet-asks-if-it-is-being-testedMeta plans to use data from conversations with AI to target ads: https://www.theregister.com/2025/10/01/meta_ai_use_informs_ads/Using AI to estimate someone’s reputation could be useful, but not if it’s tied to a dodgy business model

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Soft Computing, Volume 29, Issue 15-16, August 2025

Artificial Intelligence, journals, Soft Computing

1) On the Pierce sheaf representation of De Morgan residuated latticesAuthor(s): Esmaeil Rostami, Shokoofeh GhorbaniPages: 5115 – 51282) Calculating probabilities with LR fuzzy random variablesAuthor(s): Abbas Parchami, Przemysław Grzegorzewski, Maciej RomaniukPages: 5129 – 51413) A new optimization model for multi-project scheduling considering dynamic resource allocationAuthor(s): Sajad Soltan, Maryam AshrafiPages: 5143 – 51584) ExpTODIM-VIKOR framework for multiple-attribute group decision-making with

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Soft Computing, Volume 29, Issue 17-18

Artificial Intelligence, journals, Soft Computing

1) A deep learning-based novel model for masked face recognitionAuthor(s): B. Anil Kumar, Neeraj Kumar MisraPages: 5305 – 53262) Few-shot learning for plant disease detection using DeepBDCAuthor(s): Rakesh Ranjan, Jyoti Prakash Singh, Ankit Kumar TitoriyaPages: 5327 – 53403) FAA-Net: enhancing person re-identification through local-global feature association attentionAuthor(s): Yangqi Zheng, Liang Zhang, Jun LiangPages: 5341 – 53554) A spectral-spatial attention

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Weekly Review 3 October 2025

Artificial Intelligence, Bluesky, Mastodon, Newsmast, Threads, Twitter, weekly review, X

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):A politician’s crusade to force AI companies to publicise the dangers of their technologies: https://techcrunch.com/2025/09/23/scott-wiener-on-his-fight-to-make-big-tech-disclose-ais-dangers/AI is not yet a threat to jobs in law, but will soon be impacting junior lawyers: https://www.nzherald.co.nz/nz/artificial-intelligence-law-firms-face-ai-dilemma-as-junior-roles-and-graduate-jobs-come-under-pressure/GVO24DZWTFG5HOONB6Y2BLAHP4/Some of the ways AI can go wrong in the

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Soft Computing, Volume 29, Issue 13-14

Artificial Intelligence, journals, Soft Computing

1) Constructing 2-uninorms on bounded lattices by using additive generatorsAuthor(s): Shudi Liang, Xue-ping WangPages: 4807 – 48212) A comprehensive review of frugal artificial intelligence: challenges, applications, and the road to sustainable AIAuthor(s): Nancy Girdhar, Aditya Raj, Matthias RenzPages: 4823 – 48563) Improved butterfly optimization algorithm-support vector machine: Short-term wind power forecasting modelAuthor(s): Ling-Ling Li, Li-Nan Qu, Ming-Lang TsengPages: 4857 –

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Weekly Review 26 September 2025

Artificial Intelligence, Bluesky, Mastodon, Newsmast, Threads, Twitter, weekly review, X

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):The power demands of AI are contributing to climate change, and the contribution is getting greater: https://www.theregister.com/2025/09/12/fire_up_gas_turbines_ai_race/AI companies are burning through enormous sums of money. So don’t tell me there’s no AI bubble: https://www.computerworld.com/article/4054928/ai-bubble-watch-openai-to-burn-through-115b-by-2029.htmlRemember, AI companies are using other people’s work

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5 Essential Tips to Avoid Generative AI Implementation Failure in 2025

ai, Artificial Intelligence, Business, Investments

Have you ever found yourself doing something because everyone else is doing it? Have you ever felt like you have to do something because if you don’t, you’ll fall behind? This is exactly what’s happening with GenAI adoption in businesses today. Companies are rushing to implement artificial intelligence, often without a clear strategy, driven by

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Building AI Virtual Assistants in 2025: 5 Critical Lessons from Our Platform Crisis

ai, Artificial Intelligence, Business, GPT

Your AI assistant demo was flawless. The stakeholders were impressed, the use cases were compelling, and the ROI projections looked incredible. But three weeks into production deployment, user complaints are pouring in, and your conversation flows are completely broken. Sounds like a nightmare? Unfortunately, this scenario is playing out across hundreds of organizations right now.

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