Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
IEEE

Machine Learning and Deep Learning in VLC Systems: A Comprehensive Survey

Abstract: Visible light communication (VLC) has emerged as a promising wireless communication technology, utilizing light-emitting diodes for high-speed data transmission. While VLC offers advantages ...
Healio

Round table: Experts discuss role of AI in orthopedics

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...
Space.comOpinion

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
C&EN

Enhancing Distillation Column Impurity Prediction: A Novel Machine Learning and Deep Learning Approach

School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, Republic of Korea Graduate School of Carbon Neutrality, ...
IEEE

Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
Frontiers

Machine learning and deep learning in diabetology: revolutionizing diabetes care

Diabetes is a chronic disease affecting over 400 million people globally, with its prevalence expected to rise sharply in the coming decades due to ageing populations, sedentary lifestyles, and ...