Embedl
Andreas Ask has work experience as a Deep Learning Researcher at Embedl starting in April 2022. Prior to that, they were engaged as a PhD student at Chalmers tekniska högskola from December 2015 to April 2021.
Andreas Ask began their education in 2010 at the University of Gothenburg, where they obtained a Bachelor's degree in Physics in 2013. Andreas further pursued their studies at the same institution and completed a Master of Science (MS) degree in Physics in 2015. Andreas then went on to pursue a PhD in Physics at Chalmers University of Technology, where they have been studying from 2015 to 2021.
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.