Former DeepMind researchers bet on visual AI with new Palo Alto startup

Researcher Andrew Dai believes that the artificial intelligence models at big labs have the intelligence of a 3-year-old kid, ...
Georgia Tech News Center

Georgia Tech Researchers Use Statistics and Math to Understand How The Brain Works

Researchers at Georgia Tech are using math, science, and artificial intelligence to better understand how people think, move, ...
The Lancet

Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing ...

aDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China bKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, ...
IEEE

Deep-Learning-Empowered Super Resolution: A Comprehensive Survey and Future Prospects

Abstract: Super resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality ...
GitHub

Visual-ERM: Reward Modeling for Visual Equivalence

🌈 Official repository for Visual-ERM, a multimodal generative reward model for vision-to-code tasks. 🔥 Task-agnostic reward supervision. A single reward model generalizes across multiple ...
IEEE

Developing RGB Sensor Technology with deep learning for Measuring Visual and Non-Visual Lighting Metrics of daylight and LED light sources

Abstract: Non-visual lighting metrics such as Circadian Stimulus (CS), Equivalent Melanopic Lux (EML), and melanopic Equivalent Daylight Illuminance (mEDI) are essential for human-centric lighting ...