Embedl
Ted Gustafsson is a Deep Learning Engineer at Embedl since February 2023, with previous experience as a Research Engineer at Smart Eye from September to December 2022 and as a Master's Thesis candidate at Nationellt forensiskt centrum - NFC from January to August 2022, focusing on improving stroke rehabilitation through machine learning. Ted also interned as an Analytics intern at Novotek Sverige AB in mid-2021 and as a Research intern at Linköpings universitet in summer 2020, contributing to a research project with the ISB group. Prior to these roles, Ted worked as a CNC machine operator at Strömsholmen AB from 2012 to 2015. Ted's educational background includes studies at Linköping University from 2017 to 2022, 2015 to 2017, and Yrkeshögskola in 2012, as well as completion of studies at Holavedsgymnasiet.
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.