Hyunjin Kim, Senior Staff Engineer at DEEPX, presents the “State-of-the-art Model Quantization and Optimization for Efficient Edge AI” tutorial at the May 2023 Embedded Vision Summit. Extremely efficient edge AI requires more than efficient processors; it also requires tools capable of generating superefficient software. In this talk, Kim explains and demonstrates how DEEPX’s DXNN SDK […]
Lokwon Kim, CEO of DEEPX, presents the “Toward the Era of AI Everywhere” tutorial at the May 2023 Embedded Vision Summit. Over the past decade, deep neural networks have proven they can solve a wide range of visual perception problems. Semiconductor companies have invested billions of dollars in developing edge AI processors for deep learning.
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Jay Kim, Executive Vice President of DEEPX, presents the “DEEPX’s New M1 NPU Delivers Flexibility, Accuracy, Efficiency and Performance” tutorial at the May 2023 Embedded Vision Summit. For a growing range of applications, deploying AI in the real world means running various models at the edge. Fortunately, powerful edge processors are increasingly capable of handling
Jeff Bier, Founder of the Edge AI and Vision Alliance, moderates the “Accelerating the Era of AI Everywhere,” Expert Panel at the May 2023 Embedded Vision Summit. Other panelists include Dean Kamen, Founder of DEKA Research and Development, Lokwon Kim, CEO of DEEPX, Jason Lavene, Director of Advanced Development Engineering at Keurig Dr Pepper, and
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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