15 citations · 37 across the 13 of their papers we have counts for
5 papers · 1 filter
Academia x Industry: The Role of Fundamentals for Silicon in an AI Native Era
Vincent T. Lee, Armin Alaghi, Carole-Jean Wu +5
Agentic AI is set to become one of the most transformational technologies in generations and materially change how we approach silicon design and engineering. The impact is being f…
Full System Architecture Modeling for Wearable Egocentric Contextual AI
Vincent T. Lee, Tanfer Alan, Sung Kim +6
The next generation of human-oriented computing will require always-on, spatially-aware wearable devices to capture egocentric vision and functional primitives (e.g., Where am I? W…
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms
Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin +13
When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, programming languages, and sys…
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing
Vincent T. Lee, Armin Alaghi, John P. Hayes +2
Recent advances in neural networks (NNs) exhibit unprecedented success at transforming large, unstructured data streams into compact higher-level semantic information for tasks suc…
Exploring Computation-Communication Tradeoffs in Camera Systems
Amrita Mazumdar, Thierry Moreau, Sung Kim +5
Cameras are the defacto sensor. The growing demand for real-time and low-power computer vision, coupled with trends towards high-efficiency heterogeneous systems, has given rise to…