Embedl
Christian von Schultz is a Deep Learning Engineer at EmbeDL since November 2020, previously serving as a Development Engineer at Zenseact and ZENUITY from July 2020 to October 2020 and April 2018 to June 2020, respectively. Prior experience includes working as an Embedded System Engineer at DevPort AB from August 2016 to April 2018. Christian von Schultz completed a Ph.D. in Fundamental Physics at Chalmers University of Technology between 2010 and 2016, following a Master of Science in the same field from 2005 to 2010. The educational journey began with an upper secondary diploma in The Natural Science Programme at Fågelviksgymnasiet from 2001 to 2005.
Embedl
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Embedl offers a diverse set of cutting-edge tools and expertise, empowering AI teams to craft incredibly efficient Deep Learning models. Embedl aims to revolutionize the world of embedded systems by commercializing its state-of-the-art Deep Learning Model Optimization SDK. With Up to 94% reduced energy consumption, 16x increased execution speed, and 8x memory model compression, the SDK enables users to develop market-leading solutions by designing energy-efficient deep learning models that meet real-time requirements in cost-efficient hardware. Through the innovative Model Optimization SDK, the process of generating superior models becomes streamlined and automated. Embedl is committed to innovation and excellence, is deeply connected to academic research, and actively collaborates with prominent industry players. These valuable collaborations nurture a thriving innovation ecosystem, empowering Embedl to constantly push the limits of what's achievable in embedded intelligence.