Daniel Firu, Co-founder and CPO of Quadric, presents the “Accelerate All Your Algorithms with the quadric q16 Processor,” tutorial at the May 2022 Embedded Vision Summit. As edge and embedded vision applications increasingly incorporate neural networks, developers are looking to add neural network accelerator functionality to their systems. There is just one problem: we need […]
James Marshall, Chief Scientific Officer at Opteran Technologies, presents the “Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision” tutorial at the May 2022 Embedded Vision Summit. Mainstream approaches to AI for autonomy and computer vision make use of data-, energy- and compute-intensive techniques such as deep learning, which struggle to generalize and are fragile
This video was originally published at Intel’s YouTube channel. It is reprinted here with the permission of Intel. In this episode, Stephanie Essin interviews Stewart Christie. He is an AI and IoT Evangelist at Intel who creates online developer courses (which you can go and take for free right now!). Outside of this, he also
Stewart Christie on Learning AI Read More +
Carlos Garcia-Sierra, Product Manager for DeepStream at NVIDIA, presents the “Vision AI At the Edge: From Zero to Deployment Using Low-Code Development” tutorial on behalf of Alvin Clark, Product Marketing Manager at NVIDIA, at the May 2022 Embedded Vision Summit. Development of vision AI applications for the edge presents complex challenges beyond model inference, often
Akhil Docca, Senior Product Marketing Manager at NVIDIA, presents the “Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” tutorial at the May 2022 Embedded Vision Summit. AI applications are powered by models. However, creating customized, production-ready AI models requires an army of data scientists and mountains of data. For businesses looking to
Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Novel Packet-based Accelerator for Resource-Constrained Edge Devices” tutorial at the May 2022 Embedded Vision Summit. As AI applications move from cloud platforms into edge devices, processor designers are increasingly incorporating hardware accelerators for real-time AI processing. These accelerators must meet tight cost, bandwidth and power
Yair Siegel, Senior Director of Business Development at CEVA, presents the “NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices” tutorial at the May 2022 Embedded Vision Summit. AI capabilities have become an integral part of many products across a wide range of markets and applications. Increasingly, system developers
Bastian Steinbach, Head of Software Product Management at Basler, presents the “Flexible Software Ecosystem and Marketplace for Hybrid AI Vision Solutions” tutorial at the May 2022 Embedded Vision Summit. For most vision applications, the best solution combines classical vision algorithms with AI techniques. In practice, developing hybrid solutions is challenging. For example, different tools are
Dave Tokic, Vice President of Marketing and Strategic Partnerships at Algolux, presents the “Optimizing Camera Image Quality to Maximize Computer Vision Results” tutorial at the May 2022 Embedded Vision Summit. Applications of computer vision have broadly expanded thanks to deep learning, which achieves much better results than classical techniques. This is evident in our cell
Barrie Mullins, Senior Director of Product Marketing at Blaize, presents the “Developing Sustainable Edge AI Products for the Real World” tutorial at the May 2022 Embedded Vision Summit. For edge AI systems to succeed in the real world, they must be adaptable. They must adapt as customer requirements change, as their environments evolve and as
“Developing Sustainable Edge AI Products for the Real World,” a Presentation from Blaize Read More +
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