9 citations · 17 across the 9 of their papers we have counts for
4 papers · 1 filter
AIR-LLM: Broadcasting AI Weights over Radio for Memory-Free Edge LLM Inference via RF Computing
Zhihui Gao, Tingjun Chen, Dirk Englund
Next-generation large language models (LLMs) are expanding from the cloud to ubiquitous edge devices. However, edge devices typically either lack the memory to store increasingly l…
Radio-Frequency Convolutional Neural Networks
Zhihui Gao, Shi-Yuan Ma, Yiran Chen +2
Running artificial intelligence (AI) models directly on edge devices such as smartphones, wearables, and drones offers low latency, pervasive scalability, and data privacy, but the…
A Machine-Verified Proof of a Quantum-Optimization Conjecture
Uri Kol, Maor Ben-Shahar, Kfir Sulimany +1
We report a machine-verified resolution of a problem open for over a decade in quantum optimization: the Farhi, Goldstone and Gutmann (FGG) conjecture that depth- Quantum Approx…
Quantization-aware Photonic Homodyne computing for Accelerated Artificial Intelligence and Scientific Simulation
Lian Zhou, Kaiwen Xue, Amirhossein Fallah +14
Modern problems in high-performance computing, ranging from training and inferencing deep learning models in computer vision and language models to simulating complex physical syst…