Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Powering the Connected Intelligent Edge and the Future of On-Device AI” tutorial at the May 2022 Embedded Vision Summit. Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices […]
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “How Do We Enable Edge ML Everywhere? Data, Reliability and Silicon Flexibility” tutorial at the May 2022 Embedded Vision Summit. In this talk, Shelby reveals insights from the company’s recent global edge ML developer survey, which identified key barriers to machine learning adoption, and shares
Professor Pieter Abbeel, Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Perspectives on AI Beyond Pattern Recognition” interview at the May 2021 Embedded Vision Summit. See here for Abbeel’s keynote at the Summit,
Professor Pieter Abbeel, Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab, presents the “From Inference to Action: AI Beyond Pattern Recognition” tutorial at the May 2021 Embedded Vision Summit. Pattern recognition—such as that used in image recognition, speech recognition and machine translation—has been the primary focus of
Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit. Every day, AI-enabled systems enhance how we live and work—and we’ve barely scratched the surface! These systems are poised to create new
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “Data-Driven Engineering Revolution” tutorial at the May 2021 Embedded Vision Summit. In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby shares insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML)
“The Data-Driven Engineering Revolution,” a Presentation from Edge Impulse Read More +
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,
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
Dean Kamen, founder of DEKA Research and Development, presents the “From Mobility to Medicine: Vision Enables the Next Generation of Innovation” tutorial at the May 2018 Embedded Vision Summit. In this keynote presentation, legendary inventor Dean Kamen explain why he believes the time is right for computer vision to be used everywhere. In Kamen’s work,
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