Keysight Technologies, Inc. has introduced Quantum Circuit Simulation (Quantum Ckt Sim), an innovative circuit design environment that speeds up the development of intricate quantum circuits. In ...

Thanks to AWQ, TinyChat can deliver more efficient responses with LLM/VLM chatbots through 4-bit inference. TinyChat with LLaMA-3-8b on RTX 4090 (2.7x faster than FP16): TinyChat with LLaMA-3-8b on ...

Large Language Models are the most recent introduction in the Artificial Intelligence community, which has taken the world by storm. These models, due to their incredible capabilities, are being used ...

Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...

Nobel Prize in Physics 2025 Awarded for Breakthroughs in Quantum Tunnelling and Energy Quantisation The 2025 Nobel Prize in Physics goes to John Clarke, Michel Devoret, and John M. Martinis for ...

Field theories provide some of the best theoretical descriptions of fundamental physics. In recent years, however, several theoretical branches of physics based on the framework of first quantisation ...

This project is a companion to the article "The impact of quantising a small open source LLM", delving into the practical implications of applying quantisation techniques to small open source LLMs.

Abstract: Typical data analysis systems involving FPGAs work better with low-dimensional low-precision (LDLP) data than with high-dimensional high-precision (HDHP) ones due to limitations on data ...