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2,278 papers
This chapter introduces the fundamental distinction between generative and discriminative AI, establishing the conceptual foundation for understanding how generative models enable transformative capabilities in connected and autonomous vehicles (CAVs). Unlike traditional discriminative systems that classify inputs into...
Purpose: To systematically review the integration of generative artificial intelligence (GenAI) in MRI-based brain tumor management and evaluate its impact on detection, segmentation, diagnosis, treatment planning, and outcome prediction. The review addresses the research question like How effectively can GenAI enhance...
Abstract Aluminium gallium nitride ((Al,Ga)N) has become a key material system for deep-UV light emitters, particularly in the UV-C range (<280 nm). However, device efficiencies remain far below their visible-range counterparts, motivating the need for detailed theoretical insight. Accurate modelling of (Al,Ga)N LEDs r...
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, and women are disproportionately affected. This review examines the evidence that estrogen signaling contributes to this disparity and asks what a molecularly targeted therapeutic would require. We first distinguish prevalence from incidence in the g...
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Abstract The present study theoretically investigates the impedance of an electrochemical system with strong redox adsorption kinetics, paired with a porous electrode surface. In contrast to a diffusion-controlled redox system with the classical two-channel transmission line circuit representation, the pore impedance o...
Abstract Accurate assessment of gas adsorption and desorption behavior in coal at low temperatures is critical for both deep coalbed methane recovery and the emerging freezing coring technique. This study presents a multiscale investigation integrating low temperature desorption experiments, pore structure characteriza...
Research on information diffusion suggests that audience engagement often depends on a balance between novelty and familiarity, but it remains unclear whether narratives follow a similar principle when organizing information for audiences. To examine this possibility, this study analyses 2578 TED talks and models narra...
Head pose estimation plays an important role in many real-world applications. However, the performance of existing methods degrades significantly when facial regions are occluded by face masks. To address this limitation, this paper proposes a two-stage framework that integrates diffusion-based face restoration with la...
Diabetic foot ulcers (DFUs) are serious complications of diabetes associated with delayed healing, infection, and limb amputation. Modelling DFU progression remains challenging because publicly available image datasets generally contain independent single-timepoint images rather than longitudinal follow-up sequences. T...
This repository contains configuration, data, and scripts used in the manuscript "Extreme events and statistics in an AI emulator of a1global storm-resolving model". /configs: Configuration files used for training coarse emulator and diffusion downscaling models used in the paper /figure_scripts/*.py: python scripts us...
This repository contains the source code and dataset used in the manuscript “Intelligent Generative Transportation Design with Cascaded Latent Graph Diffusion.” The archive includes the implementation of the cascaded latent graph diffusion framework, preprocessing and evaluation scripts, model configurations, and datas...
This study assessed the adoption of the Sasso dual-purpose chicken breed among poultry farmers in Mbarara City South, guided by three objectives: to assess adoption trends, to examine factors affecting adoption, and to explore the potential benefits and challenges associated with adoption. A mixed-methods research desi...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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