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2,752 papers
Common machine translation evaluation metrics, such as the Bilingual Evaluation Understudy (BLEU) and Crosslingual Optimized Metric for Evaluation of Translation (COMET) are reliable measures of propositional fidelity and surface fluency but systematically ignore the embodied texture of reading, leaving unexplained why...
This study examined the effect of Artificial Intelligence (AI) tools on teaching effectiveness of geometry in tertiary institutions in Benue State, Nigeria. A cross-sectional survey design was adopted. The study involved 235 respondents comprising 60 mathematics lecturers and 175 undergraduate students selected from st...
The rapid expansion of electric scooters (e-scooters) in urban transportation networks has transformed personal mobility across U.S. cities, yet rising crash rates have raised critical safety concerns. This study investigates the factors contributing to e-scooter crash severity through a novel integration of Cluster Co...
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BACKGROUND As artificial intelligence (AI) rapidly integrates into nursing practice, education, and research, it presents a profound ethical paradox: significant opportunities for operational efficiency alongside deep-seated challenges to the profession's core values. PURPOSE This scoping review synthesizes existing...
Accurate prediction of carbon dioxide (CO₂) emissions is essential for effective carbon management and evidence-based climate policy. However, emission dynamics are inherently nonlinear and arise from complex interactions among technological, financial, energy, economic and demographic factors. This study develops an i...
Deep learning systems have achieved remarkable success in medical image analysis; however, most explainable artificial intelligence (XAI) methods remain descriptive, providing post-hoc explanations without actively validating diagnostic decisions. While concept-based and retrieval-based approaches improve interpretabil...
Campus training and placement (T&P) activities in many engineering institutions are still coordinated through spreadsheets, e-mail and notice boards, which makes eligibility checks, shortlisting and placement reporting slow and error-prone and gives students little guidance on which opportunities suit them. This paper...
Children who are developmentally lagging require quick and tailored supports- this is why focusing on potential development is important. AI has advanced by integrating multiple forms of speech, behaviour, physiology, and vision, and emerging AI systems for speech triage and multi-modal systems are demonstrating promis...
This study constructs a dual-cycle framework integrating financial fraud identification and ethical governance for artificial intelligence-assisted audit. It uses financial indicators, text features, and corporate governance variables to build multi-dimensional detection models. Traditional models and machine learning...
Artificial Intelligence (AI) is increasingly transforming the way governments design, administer and enforce tax systems. Tax administration is particularly suitable for AI because it involves large volumes of structured and unstructured data, repetitive compliance processes, risk assessment, fraud detection and contin...
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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