What exactly was the Space Race? Why did we care so much? The Space Race grew out of the Cold War between the United States and the Soviet Union, the most powerful countries after World War II. For a ...
Abstract: Self-supervised learning has recently demonstrated significant success in various speech processing applications. Recent studies report that pre-training with contextualized continuous ...
Abstract: Computing-in-memory (CIM) has been proven to achieve high energy efficiency and significant acceleration effects on neural networks with high computational parallelism. Based on typical ...
A Schroedinger type quantization of free fields on arbitrary spacelike hypersurfaces in curved space-time is considered. The gravitational field is assumed to be a classical background. In the field ...
Section 1. Purpose. Superiority in space is a measure of national vision and willpower, and the technologies Americans develop to achieve it contribute substantially to the Nation’s strength, security ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...