IEEE

Secure Machine Learning Hardware: Challenges and Progress [Feature]

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 ...
GitHub

Kubeflow SDK

The Kubeflow SDK is a set of unified Pythonic APIs that let you run any AI workload at any scale – without the need to learn Kubernetes. It provides simple and consistent APIs across the Kubeflow ...

IITM Pravartak launches second cohort of applied artificial intelligence & deep learning programme to accelerate industry adoption

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and MLOps, with campus immersion.
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

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 ...