The evolution of AI: What does the future hold in the next two years

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 12(1), P. 022 - 028

Published: May 11, 2024

Artificial intelligence (AI) has evolved rapidly in recent years, transforming several industries and reshaping cultural norms. This article examines the current state of AI technology, focusing on significant trends developments that have accelerated its growth. paper sheds light evolving environment innovation by examining breakthroughs machine learning, deep ethical concerns surrounding deployment. The following two years should see substantial advances natural language processing, computer vision, autonomous systems. Despite excitement, difficulties such as considerations, regulatory frameworks, societal repercussions loom large, needing careful study decisive action. aims to inform stakeholders about transformative potential methods required properly navigate growing landscape conducting a balanced examination opportunities challenges.

Language: Английский

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Leveraging artificial intelligence for enhanced decision-making in finance: trends and future directions

Journal of Accounting Literature, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Critical Analysis of ChatGPT 4 Omni in USMLE Disciplines, Clinical Clerkships, and Clinical Skills (Preprint)

JMIR Medical Education, Journal Year: 2024, Volume and Issue: 10, P. e63430 - e63430

Published: Sept. 14, 2024

Abstract Background Recent studies, including those by the National Board of Medical Examiners, have highlighted remarkable capabilities recent large language models (LLMs) such as ChatGPT in passing United States Licensing Examination (USMLE). However, there is a gap detailed analysis LLM performance specific medical content areas, thus limiting an assessment their potential utility education. Objective This study aimed to assess and compare accuracy successive versions (GPT-3.5, GPT-4, GPT-4 Omni) USMLE disciplines, clinical clerkships, skills diagnostics management. Methods used 750 vignette-based multiple-choice questions characterize (ChatGPT 3.5 [GPT-3.5], 4 [GPT-4], Omni [GPT-4o]) across (diagnostics management). Accuracy was assessed using standardized protocol, with statistical analyses conducted models’ performances. Results GPT-4o achieved highest at 90.4%, outperforming GPT-3.5, which scored 81.1% 60.0%, respectively. GPT-4o’s performances were social sciences (95.5%), behavioral neuroscience (94.2%), pharmacology (93.2%). In skills, diagnostic 92.7% management 88.8%, significantly higher than its predecessors. Notably, both outperformed student average 59.3% (95% CI 58.3‐60.3). Conclusions indicates substantial improvements over predecessors, suggesting significant for use this technology educational aid students. These findings underscore need careful consideration when integrating LLMs into education, emphasizing importance structured curricula guide appropriate ongoing critical ensure reliability effectiveness.

Language: Английский

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General Definitions of Information, Intelligence, and Consciousness from the Perspective of Generalized Natural Computing

Applied and Computational Mathematics, Journal Year: 2024, Volume and Issue: 13(5), P. 186 - 192

Published: Oct. 10, 2024

Atoms themselves have no thoughts and cannot be thinking. Why does the human body, which is composed of atoms, consciousness? The widely used concepts information intelligence in today’s science, are related to this, do not yet appropriate general definitions. Answering these interesting questions a crucial issue for technological development historical context society entering era intelligence. key lies how fully utilize existing fundamental theories subtly science. Here we attempt give definition from perspective generalized natural computing, based on least action principle, Hamilton-Jacobi equation, dynamic programming, reinforcement learning, point out relationship between two. principle describing conservative systems can seen as an intelligent manifestation matter, its equivalent form, extended describe quantum phenomena special case continuous programming equations. Dynamic efficient optimization method under deterministic models, while biological intelligence, model-free version. statement that learning most promising machine has profound physical foundation. General defined degree certain environmental element determines behavior subject. automatic ability or value function system with conservatism. Intelligence basic property material systems, rather than emergent only complex possess. Consciousness advanced phenomenon, reconstruction quasi systems.

Language: Английский

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Wait, Where’s the Flynn Effect on the WAIS-5?

Journal of Intelligence, Journal Year: 2024, Volume and Issue: 12(11), P. 118 - 118

Published: Nov. 15, 2024

The recent release of the WAIS-5, a decade and half after its predecessor, WAIS-IV, raises immediate questions about Flynn effect (FE). Does traditional FE points per in U.S. for children adults, identified Full Scale IQs all Wechsler scales other global IQ scores as well, persist into 2020s? WAIS-5 Technical Interpretive Manual provides two counterbalanced validity studies that address directly-

Language: Английский

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