Computer Vision

This research examines how artificial intelligence is transforming assistive technologies, creating new opportunities and challenges for users with disabilities. The study analyzes various AI-powered assistive technologies, including advanced screen readers, intelligent voice interfaces, and computer vision systems for the visually impaired. The authors identify key success factors and potential pitfalls in developing AI-based assistive technologies, providing guidelines for creating more effective and inclusive solutions.

This comprehensive study explores methods for developing energy-efficient vision transformers while maintaining high performance in computer vision tasks. The research evaluates various optimization techniques including architecture modifications, training strategies, and inference optimizations specifically designed for vision transformers. The authors demonstrate significant reductions in computational costs and energy consumption while preserving model accuracy across different vision tasks.