Members-only Data Centers Event-based Neuromorphic Computing Neuromorphic computing utilizes electronic technology to replicate the computational properties of biological processes. Spiking neural networks are compute engine of neuromorphic models. Unlike...
Members-only Data Centers ML on the edge: Hardware and Models for Machine Learning on Constrained Platforms Deep neural networks are a key technology at the core of advanced audio and video applications. As these applications begin to migrate from...
Members-only AI Accelerators The Oculus Insight Positional Tracking System Oculus Quest and Oculus Rift S are VR headsets launched earlier this year that have revolutionized the VR market. Oculus Insight is the...
Members-only AI Accelerators The Age of Industrial AI is Here With billions of machines connected in the Industrial Internet of Things (IIoT) and quantum computing beginning to enable new possibilities at the Edge,...
Members-only Hardware-Aware Deep Neural Architecture Search A central problem in the deployment of deep neural networks is maximizing accuracy within the compute performance constraints of low power devices. In...
Members-only Machine Learning Machine Learning landscape is shifting Machine learning applications are moving towards local / Edge inference needs. Ajay Nair, Product Management Lead, Google, dives into the new requirements and how...
Members-only AI Accelerators Reinventing Hearing Aids with Artificial Intelligence Award winning Livio AI is the world's first Healthable hearing aid to provide both superior sound quality and the ability to...
Members-only Computer Vision Image Augmentations for Semantic Segmentation and Object Detection Image Augmentations is a powerful technique that is used to build models that are robust to the data distribution shift. Vladimir Iglovikov, Senior...
