Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the September 2020 Embedded Vision Summit on September 15, 2020. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both […]
September 2020 Embedded Vision Summit Opening Remarks (September 15) Read More +
Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the “Trends in Neural Network Topologies for Vision at the Edge” tutorial at the September 2020 Embedded Vision Summit. The widespread adoption of deep neural networks (DNNs) in embedded vision applications has increased the importance of creating DNN topologies that maximize accuracy while minimizing
Steve Teig, CEO of Perceive, presents the “Accuracy: Beware of Red Herrings and Black Swans” tutorial at the September 2020 Embedded Vision Summit. Machine learning aims to construct models that are predictive: accurate even on data not used during training. But how should we assess accuracy? (Hint: simply computing the average error on a pre-determined
“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive Read More +
This blog post was originally published at Donecle’s website on behalf of 8tree. It is reprinted here with the permission of Donecle and 8tree. Can you measure dents? This is a question which our customers and prospects ask on a regular basis. Dent damage is a chronic and recurring problem on aircraft, due to loading
Towards Dent Measurement by Drone Read More +
Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances in Post-training Quantization” tutorial at the September 2020 Embedded Vision Summit. The use of low-precision arithmetic (8-bit and smaller data types) is key for the deployment of deep neural network inference with high performance, low cost and low power consumption. Shifting to low-precision
“Recent Advances in Post-training Quantization,” a Presentation from Intel Read More +
Samir Kumar, Managing Director at Microsoft M12, moderates the “Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines” Expert Panel at the September 2020 Embedded Vision Summit. Other panelists include Pete Warden, Staff Research Engineer at Google; Stevie Bathiche, Technical Fellow at Microsoft; Steve Teig, CEO
Bill Pearson, Vice President of the Internet of Things Group and General Manager of Developer Enabling at Intel, presents the “Streamline, Simplify, and Solve for the Edge of the Future” tutorial at the September 2020 Embedded Vision Summit. Today, edge AI is changing our world — whether it’s smart lab instruments enabling faster blood tests,
Montreal, Canada – December 8, 2020 – Algolux today announced that it has joined Partners for Automated Vehicle Education (PAVE) to help raise public awareness about the real-world challenges that Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) perception systems face in difficult driving conditions, and the advanced technologies applied to address them. A
David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI” tutorial at the September 2020 Embedded Vision Summit. Paradoxically, processors today are both a key enabler of and a painful obstacle to
David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Perspective On the Past, Present, and Future of Processor Design” interview at the September 2020 Embedded Vision Summit. See here for Patterson’s keynote
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