Abstract: This article is concerned with the problem of distributed Kalman filtering over sensor networks under two-bitrate periodic coding strategies. Initially, the optimal estimates for sensor ...

Abstract: A popular track of network compression approach is Quantization aware Training (QAT), which accelerates the forward pass during the neural network training and inference. However, not much ...

Google's TurboQuant can dramatically reduce AI memory usage. TurboQuant is a response to the spiraling cost of AI. A positive outcome is making AI more accessible by lowering inference costs. With the ...

Alternatively, freed VRAM supports 3 additional concurrent 131k-context requests.

Amphibious assault ship USS Boxer steams in the Pacific Ocean in 2023. (MCS2 James Finney/Navy) The United States military is deploying thousands of additional Marines and sailors to the Middle East, ...