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We present a simple structural model explaining why contemporary AI firms release their most capable models gradually rather than all at once. Building on a unified structural equation of contests, we define the success index Q = P e ( F F0 − e ) , where P is own product performance, e is rival performance, F is own ab...
Explainability techniques are rapidly being developed to improve human-AI decision-making across various cooperative work settings. Consequently, previous research has evaluated how decision-makers collaborate with imperfect AI by investigating appropriate reliance and task performance with the aim of designing more hu...
Many artificial intelligence programs require powerful computing hardware, whereas agricultural robots, drones, and smart cameras rely on small embedded devices with limited computing power, battery capacity, and heat dissipation. Lightweight models reduce parameters and computational costs while maintaining acceptable...
This study addresses three problems in everyday food therapy services: insufficient explanation of recommendations, weak continuity between digital advice and offline fulfilment, and unclear boundaries of AI assistance. Taking the "Food Rhythm" Digital Food Therapy 4S Store as a design case, this research adopts a rese...
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LaTeX source, reproduction scripts, Lean 4 / Mathlib formalization (616 compared theorems, accepted by Comparator with the Lean and NanoDa kernels), leanblueprint and interactive explainers of the manuscript "Low-discrepancy quasi-uniform digital nets in every dimension" (version 1), which constructs, for every dimensi...
Digital transformation has dissolved the boundaries on which conventional network security was built. Cloud platforms, remote work, mobile endpoints, and the Internet of Things have turned organizational networks into distributed, hyper-connected ecosystems in which the perimeter-based “castle-and-moat” model can no lo...
Biometric signal processing has become essential for authentication and identification in modern security systems, with applications in border control, healthcare, financial services, mobile devices, and the Internet of Things. Although biometric traits such as fingerprints, iris patterns, facial features, voice charac...
The rapid expansion of solar energy has accelerated the adoption of Artificial Intelligence (AI) to improve forecasting accuracy, photovoltaic performance, intelligent control, fault diagnosis, energy storage management, and smart grid operation. Recent advances in machine learning, deep learning, Digital Twins, Physic...
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23312313. Does the introduction explain the objective of the research presented in the preprint? Yes It contains the end goal of the research which was to make a method (...
The rapid adoption of generative artificial intelligence (GenAI) in advertising since 2022 has transformed content production while raising concerns about the preservation of brand authenticity, a critical foundation of consumer trust and brand relationships. This study examines how AI-generated advertising influences...
The lack of access to finance is a major issue for young entrepreneurs, especially those who have poor credit scores, lack financial statements and have no collateral. Artificial intelligence (AI) based credit scoring systems have been seen as a potential solution to credit assessment using alternative data, but there...
AI-enabled nystagmus analysis shows promising clinical potential, particularly for VNG/VOG-based assessment and BPPV-related decision support, but translation into routine practice will require multicentre patient-level external validation, transparent reporting, interpretable outputs, standardised performance metrics,...
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
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
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