Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.
Health tracking technologies offer insights into wellbeing but may also cause anxiety and data misinterpretation. Evaluating ...
AI researcher Anmol Aggarwal explains how fairness-aware pricing algorithms can reduce hidden bias without major revenue loss ...
AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...
Abstract: Diabetic retinopathy is a serious eye disease which can lead to vision defects in diabetic patients. Early detection is important for preventing vision loss. Automating the detection process ...
Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation systems to deliver personalized recommendations. Pixabay, TungArt7 From movie ...
Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...