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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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How AI is Reducing Emergency Room Overcrowding

ai, Artificial Intelligence, Medicine

Emergency room overcrowding has become one of healthcare’s most pressing challenges, putting countless lives at risk through delayed care and strained resources. The scale of this crisis is stark: over 1.5 million patients experienced wait times exceeding 12 hours in major emergency departments in 2023, with 65% of these cases involving patients awaiting admission. Among

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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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Top 10+ Mental Health Apps for 24/7 Emotional Support

ai, Artificial Intelligence, Medicine

In a world where nearly 1 billion people struggle with mental health challenges, yet 61% don’t seek traditional treatment, digital solutions are becoming increasingly vital. From AI-powered therapy companions to professional teletherapy platforms, mental health apps are breaking down barriers of cost, accessibility, and stigma. But with hundreds of options available – from meditation guides

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