Members-only Edge AI Disrupting Defence & Aerospace: An AI Cookbook with Serco > "I’m worse than a kid in a candy store, I like to play with everything, UUV, UAV, neural interfaces, microchips,...
Members-only AI Accelerators AI Hardware Innovation: [Q&A with HSBC] The ease and scale of AI adoption really fascinates me. Now more than ever before, it’s easy to design and implement an AI solution in any industry, especially Financial Services. Public Cloud adoption has had a profound impact in my area of work in Wholesale Banking and so does AI/ML....
Members-only Security Improving Software Security Through Input Validation In today's world, software is everywhere. It is becoming more and more a part of our every-day lives, whether we are...
Members-only Machine Learning Top 5 AI Trends to Watch in 2021 It’s time to turn our sights to the year ahead - and take a look at the AI topics that we’ll all be hearing more about in 2021....
Members-only Q&A Roundup - AI Accelerate APAC 2020 We’ve pulled out some of the top questions and answers from the AI Accelerate Festival APAC to share with you....
Members-only Edge AI AI at the Edge: Speaker Q&A with Sabrina Ren, OPPO Ahead of the AI Accelerate Festival APAC, we caught up with Sabrina Ren, Director, Tech Scouting and Open Innovation of OPPO to discuss AI hardware, Machine Learning and Edge AI....
Members-only AI Accelerators Expert Insight: Where are we with AutoML? Adam Kraft, ML Engineer at Google, shares his expertise on AutoML. "It exceeds ML experts at many different tasks. It allows non-experts to solve machine learning problems. But, how do we push into new areas? How do we lower the barrier to entry for people that want to use it?"...
Members-only Inference & Training Ambient Computing pipelines at the Edge Applying analytics, Deep Learning specifically, to multi-modal inputs at the Edge has significant benefits, eventually enabling us to process much larger amounts of...
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 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...