Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100889 - 100889
Published: March 1, 2025
Language: Английский
E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 619, P. 03004 - 03004
Published: Jan. 1, 2025
Facial recognition is, therefore, a crucial aspect of biometric systems used when authenticating as well verifying people’s identity. But here natural aging increases number difficulties concerning accuracy and long-term reliability the control stated above. In this paper, new method real-time face simulation in context variance using Generative AI; specifically, GANs, is proposed. The proposed model tries to use generative AI generation improved synthetics with modified age appearance, allowing capture or antiaging changes facial features. This approach assessed experimentally from one database another datasets principal area interest future faces long run respect groups. work also looks at strength robustness for problems. outcomes presented show that applying AI-based system paradigm improves performance specifically addressing variations thus proposing valuable solution age- related paper considers some possible consequences security, privacy, concerns practical application real systems.
Language: Английский
Citations
0
Professional Discourse & Communication, Journal Year: 2025, Volume and Issue: 7(1), P. 70 - 88
Published: March 17, 2025
The article aims to explore the potential of generative artificial intelligence (AI) for assessing written work and providing feedback on it. goal this research is determine possibilities limitations AI when used evaluating students’ production feedback. To accomplish aim, a systematic review twenty-two original studies was conducted. selected were carried out in both Russian international contexts, with results published between 2022 2025. It found that criteria-based assessments made by models align those instructors, surpasses human evaluators its ability assess language argumentation. However, reliability evaluation negatively affected instability sequential assessments, hallucinations models, their limited account contextual nuances. Despite detailisation constructive nature from AI, it often insufficiently specific overly verbose, which can hinder student comprehension. Feedback primarily targets local deficiencies, while pay attention global issues, such as incomplete alignment content assigned topic. Unlike provides template-based feedback, avoiding indirect phrasing leading questions contributing development self-regulation skills. Nevertheless, these shortcomings be addressed through subsequent queries model. also students are open receiving AI; however, they prefer receive instructors peers. discussed context using formulating foreign instructors. conclusion emphasises necessity critical approach assessment importance training effective interaction technologies.
Language: Английский
Citations
0
Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 45 - 72
Published: Feb. 7, 2025
This chapter looks at how artificial intelligence (AI) has changed the FinTech business by demonstrating its evolution and pointing out key applications, problems, future trends. From early days of electronic fund transfers to today's advanced financial services driven AI, always been trying make things faster, easier use, more personalized. Using big data sentiment analysis intelligent choices, AI transformed fraud detection, risk management, credit scoring, algorithmic trading, customer service. Even with these advancements, challenges like accuracy, bias, cybersecurity, following regulations exist. Some real-life examples such as JPMorgan Chase's COIN system, more. These show leading companies in sector are using improve service, streamline processes, lower risks. talks about emerging trends explainable AI(XAI), quantum computing, decentralized edge computing. It emphasizes importance ethically.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Published: March 25, 2025
The rapid proliferation and adoption of generative Artificial Intelligence (GenAI) underscore its ease use. However, there has been limited research exploring what constitutes proficient use GenAI competencies underpin it. In this study, we used semi-structured interviews to explore how twenty-five expert users (all knowledge workers) define, exemplify explain proficiency. A purposive sampling approach was adopted with the aim capturing input from experts a range occupations sectors towards answering three questions. First, can identify characteristics that differentiate (more effective) GenAI? Second, are seen underlie Third, benefits associated more tools? Analysis descriptions shared by revealed four aspects proficiency: effective prompting, informed responsible choices, diversity complexity use, frequency addition, following themes emerged analysis supporting GenAI: literacy, domain expertise, communication skills, metacognition curiosity inquisitiveness, flexibility adaptability, diligence (in some contexts) information technology skills. More have ranging improved productivity, higher quality output original work. By offering comprehensive framework for GenAI, grounded in real world experience, study guides further substantiates continuing relevance human mindsets when working tools.
Language: Английский
Citations
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Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 81 - 110
Published: March 26, 2025
This chapter examines how artificial intelligence (AI) has changed society and its future. It shows AI may boost creativity but can pose problems. The stresses expanding understanding engaging various communities to reduce risks maximize benefits. covers the history of AI, from Turing's early work modern machine learning, explores automation's role in society. emphasizes necessity for international regulation cooperation, portraying UNCITRAL as a key stimulating dialogue establishing global law policy. sets stage exploring AI's revolutionary potential creative fields by explaining narrative.
Language: Английский
Citations
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Lecture notes on data engineering and communications technologies, Journal Year: 2025, Volume and Issue: unknown, P. 45 - 64
Published: Jan. 1, 2025
Citations
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Computer Standards & Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 104005 - 104005
Published: March 1, 2025
Language: Английский
Citations
0
Computers in Human Behavior Artificial Humans, Journal Year: 2025, Volume and Issue: unknown, P. 100151 - 100151
Published: April 1, 2025
Language: Английский
Citations
0
Published: Jan. 20, 2025
This work proposes a novel approach to enhancing annotated bibliography generation through Large Language Model (LLM) ensembles. In particular, multiple LLMs in different roles—controllable text generation, evaluation, and summarization—are introduced validated using systematic methodology enhance model performance scholarly tasks. Output diversity among the ensemble that generates is obtained LLM parameters, followed by an acting as judge assess relevance, accuracy, coherence. Responses selected several combining strategies are then merged refined summarization redundancy removal techniques. The preliminary experimental validation demonstrates combined outputs from improve coherence relevance compared individual responses, leading 38% improvement annotation quality 51% reduction content redundancy, thus highlighting potential for automating complex tasks while maintaining high-quality standards.
Language: Английский
Citations
0