Nature

Neuromorphic robust framework for integrated estimation and control in dynamical systems using spiking neural networks

As the design and implementation of robotic manipulators/systems undertaking diverse real-world tasks grow more ambitious, the importance of computational efficiency, reliability, and accuracy ...
Nature

An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks

A computer-aided diagnosis (CAD) system requires automated stages of tumor detection, segmentation, and classification that are integrated sequentially into one framework to assist the radiologists ...
The Conversation

How work‑integrated learning helps to make billions in uni funding worth it

Australian universities invest heavily in the employability of their graduates. The Australian government supports this goal with annual funding to increase to A$20 billion by 2024. This includes $900 ...
InfoWorld

TensorFlow, PyTorch, and JAX: Choosing a deep learning framework

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...