GitHub

Infosys Model Inference Library

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.
IEEE

AI-Enabled Internet of Medical Things: Architectural Framework and Case Studies

Abstract: The integration of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT) has revolutionized healthcare by enhancing diagnostic accuracy, treatment efficiency, and patient ...
GitHub

Radiation-Tolerant Machine Learning Framework

Space-Radiation-Tolerant is a research project by Rishab Nuguru with core principles focused around sustainability in space. RadML was designed to help provide cost efficient solution for COTS ...
ArchDaily

Kéré Architecture Reveals Public Library Design in Rio de Janeiro Celebrating Afro-Brazilian Heritage

Biblioteca dos Saberes by Kéré Architecture. Northern view. Render. Image Courtesy of Kéré Architecture Biblioteca dos Saberes by Kéré Architecture. Gathering place with a view of the monument of ...
IEEE

Real-world Troublemaker: A 5G Cloud-controlled Track Testing Framework for Automated Driving Systems in Safety-critical Interaction Scenarios

Abstract: Track testing plays a critical role in the safety evaluation of autonomous driving systems (ADS), as it provides a real-world interaction environment. However, the inflexibility in motion ...