Embedl
Devdatt Dubhashi has extensive work experience in the field of computer science and machine learning. Devdatt has held the role of Chief Scientist at Repli5 since April 2022 and previously at EmbeDL AB since December 2018. Devdatt also served as a Professor at Chalmers University of Technology, starting in October 1999. Additionally, they worked as a Chief Scientist at Machine Intelligence Sweden AB from January 2019 to June 2022. Before that, Devdatt held positions as a Research Assistant Professor at Aarhus University and as a Postdoctoral Fellow at the Max Planck Institute for Informatics.
Devdatt Dubhashi completed their Bachelor of Technology (BTech) in Computer Science at the Indian Institute of Technology, Delhi from 1982 to 1986. Devdatt then pursued their higher education at Cornell University, where they completed their Doctor of Philosophy (PhD) in Computer Science from 1986 to 1992.
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.