From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Abstract: With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes applications that process sensitive user data and make critical decisions, security concerns are ...

As AI tools rapidly make their way into classrooms and workflows, engineering educators are grappling with how to use them without losing the fundamentals.

With all the talk about generative AI over the past few years, the conversation in healthcare has largely shifted away from less flashy use cases, such as automating administrative tasks. But doing ...

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...