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
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Shay Kamin Braun, Director of Low-power AI Marketing at Synaptics, presents the “How to Enhance Edge AI Vision with the Katana SoC Using Multi-Modal Sensing” tutorial at the May 2022 Embedded Vision Summit. Machine learning (ML)-based vision edge AI has wide applicability across a variety of segments, including consumer electronics, home security, smart buildings, smart
Armita Abadian, Senior Technical Marketing Manager for Imaging in the Americas at STMicroelectronics, presents the “Combining Ultra-low-power Proximity Sensing and Ranging to Enable New Applications” tutorial at the May 2022 Embedded Vision Summit. Time-of-flight (ToF) sensors are widely used to provide depth maps, which enable machines to understand their surroundings in three dimensions for applications
Tae-Ho Kim, Co-founder and CTO of Nota AI, presents the “Empower Your Edge Device Using NetsPresso – No AI Engineer Required!” tutorial at the May 2022 Embedded Vision Summit. Despite the outstanding achievements of deep learning models, commercializing deep learning applications remains challenging. AI implementation experts are rare, and AI models for production must meet
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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