Open AI ran a workshop on aligning AI agents with human values in early March, bringing together researchers from machine learning and AI safety to discuss risks and possible solutions from ever-more-capable large language models. PI Anca Dragan (UC Berkeley) served on the panel discussing risks and addressed the issue of preference influence as a […]
PI Yingyan (Celine) Lin’s Ph.D. student Haoran You, who is currently supported by the CoCoSys center funding, received the Outstanding Graduate Research Assistant Award from the College of Computing at the Georgia Institute of Technology in March 2023.
PI Michael Carbin (MIT) and his Ph.D. student Jonathan Frankle published their work on PAC guarantees for reinforcement-learning in AAAI’23. This expands the realm of known PAC bounds for reinforcement-learning to any objective that is computability continuous in that for any degree of precision, the objective must be computably approximated within a finite horizon. The […]
PI Kaushik Roy (Purdue) was selected as a paper award finalist, alongside his Ph.D. student Gobinda Saha, at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) for his work on “Saliency Guided Experience Packing for Replay in Continual Learning.” WACV’s “premier international computer vision event” papers are by invitation only. It was […]
Kaushik Roy and his Ph.D. student Gobinda Saha presented their work on “Continual Learning with Scaled Gradient Projection” at the 37th AAAI Conference on Artificial Intelligence, held in Washington, DC, on February 7-14, 2023. Their work on “Continual Learning with Scaled Gradient Projection” proposed the Scaled Gradient Projection (SGP) method, which results in better performance […]
Anand Raghunathan presented an overview of CoCoSys’ vision as part of a talk on “Narrowing the Energy Efficiency Gap between Natural and Artificial Intelligence” at a Quantum Summer School organized at Purdue University.
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.