Priyanka Raina’s student Kartik Prabhu gave an invited talk at TSMC R&D on “MINOTAUR: Transformer Edge Inference and Training that Scale Across Single- and Multi-Chip Systems” on May 30, 2023.
Jeffrey Yu received his master’s degree in electrical engineering from Stanford University. He will be continuing at Stanford for his PhD degree under the supervision of Priyanka Raina.
Kartik Prabhu, under the supervision of Priyanka Raina, won the Apple Stanford EE PhD Fellowship in Integrated Systems for his work on neural network hardware accelerators.
Anca Dragan gave a keynote at the Swiss Data Science Conference in Zurich, Switzerland, in June 2023. The talk was on aligning AI to human values.
t DAC 2023, Prof. Yngyan (Celine) Lin, along with her students, organized the tutorial titled “AutoDL: Automated Tools for Fast Development of Deep Learning Networks and Accelerators”, which included keynotes and invited talks from both industry and academic researchers, attracting over 200 attendees.
The EIC team, led by Prof. Yingyan (Celine) Lin and her students Yonggan Fu and Yongan Zhang, both of whom are currently supported by the CoCoSys center funding, won second place in the 33rd ACM SIGDA/IEEE CEDA University Demonstration at DAC’23 in July 2023.
Ph.D. students Haoran You and Yonggan Fu, currently supported by the CoCoSys center funding under the guidance of Professor Yingyan (Celine) Lin, presented their work, Castling-ViT and Auto-CARD, respectively, at CVPR 2023 in Vancouver, Canada, in June 2023. Furthermore, they shared their insights into the evolving field of computer vision, which was covered by Georgia […]
At DAC 2023, Prof. Yngyan (Celine) Lin, along with her students, organized the tutorial titled “AutoDL: Automated Tools for Fast Development of Deep Learning Networks and Accelerators”, which included keynotes and invited talks from both industry and academic researchers, attracting over 200 attendees.
PI Kaushik Roy spoke to ML@Purdue about the world of brain-like architectures, touching on SNNs, ANNs, and hybrid networks and delved into the importance of specialized hardware.
The EyeCoD work recently developed by PI Yingyan (Celine) Lin’s group at Georgia Tech was selected for the IEEE Micro Top Picks of 2023 in January 2023, which is a recognition of “the most significant research papers in computer architecture based on novelty and potential for long-term impact, published in the top computer architecture conferences […]