Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

In this article, we'll show how we created our web application crawling algorithm to ensure complete testing coverage for ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Yandex's dataset enables researchers and startups to build advanced personalization features and compete with tech giants ...

LLaMEA (Large Language Model Evolutionary Algorithm) is an innovative framework that leverages the power of large language models (LLMs) such as GPT-4 for the automated generation and refinement of ...

A curated list of anomaly detection with large language model, visual large model and graph foundation model papers & resources ... If you find any missed resources (paper/code) or errors, please feel ...

AI-driven capabilities within its Digital Brain Platform, centred on specialised AI agents and self-learning models ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere ...