Results 71 to 80 of about 331,887 (241)
Learning Generative Models with Sinkhorn Divergences
, 2017 The ability to compare two degenerate probability distributions (i.e. two probability distributions supported on two distinct low-dimensional manifolds living in a much higher-dimensional space) is a crucial problem arising in the estimation of ...
Cuturi, Marco +2 more
core
Aging and Cancer, EarlyView.ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
Does generative AI dependence foster creativity? Evidence from sports undergraduates.
PLoS ONEAs an emerging technological tool, generative AI profoundly reshapes higher education teaching and learning processes. Creativity, as a key component of university students' core competencies, is significantly influenced by technological transformations.
Weicheng Gu
doaj +1 more source
Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
Frontiers in PsychiatryThe advent and growing popularity of generative artificial intelligence (GenAI) holds the potential to revolutionise AI applications in forensic psychiatry and criminal justice, which traditionally relied on discriminative AI algorithms.
Leda Tortora
doaj +1 more source
"Implementing Generative AI in the Egyptian Insurance Market; Unlocking Potential and Overcoming Hurdles " [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-TiğāriyyaẗThe insurance industry is currently undergoing significant transformation due to the emergence of generative AI. Generative AI represents an advanced iteration of AI technology.
مروة خيري عبد الحميد سليم سليم
doaj +1 more source
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems
, 2019 In this paper, we propose a new framework for mitigating biases in machine learning systems. The problem of the existing mitigation approaches is that they are model-oriented in the sense that they focus on tuning the training algorithms to produce fair ...
Abusitta, Adel +2 more
core
Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer +3 more
wiley +1 more source
Perceptions and Use of Generative Artificial Intelligence in Medical Students: A Multicenter Survey
Journal of Medical Education and Curricular DevelopmentIntroduction Generative artificial intelligence (AI) has transformative potential in medical training, and its role in medicine holds drastic implications for patients, healthcare providers, and society; however, its current use by medical students is ...
Cecilia Tran +4 more
doaj +1 more source
BuildingsMultimodal generative AI and generative design empower architects to create better-performing, sustainable, and efficient design solutions and explore diverse design possibilities.
Adam Fitriawijaya, Taysheng Jeng
doaj +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source