Members-only Security Driving AI Forward: Q&A with Mahasa Zahirnia The AI Accelerator Festival is running from March 16-19 and we have a few pre-event Q&A sessions to get the ball...
Members-only Edge AI Disrupting Defence & Aerospace: An AI Cookbook with Serco The AI Accelerator Festival is running from March 16-19 and we have a few pre-event Q&A sessions to get the ball...
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 thinking about...
Members-only Edge AI Edge Computing Role in Automotive Industry The Internet of Things - technology that’s enabling unprecedented levels of connectivity and visibility, creating new opportunities for organizations to improve productivity...
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 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 Interview: Shuo Zhang, Senior Machine Learning Engineer, Bose Corporation "Edge AI has many advantages, including the speed and flexibility on network connections, as well as mitigating privacy concerns. The availability and feasibility of AI on IoT devices is one big driver – including the advantage that you don’t need to take out your phone constantly."...
Members-only AI Accelerators AI Festival Round-up We’ve pulled out some of the top questions and answers to share with the community....
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...
![AI Hardware Innovation: [Q&A with HSBC]](/content/images/size/w800/2021/02/new-computer-on-modules-for-next-gen-high-performance-edge-computing.jpg)
