Multi-stage dual-domain progressive network enhances sparse-view CT reconstruction

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
Forbes

Sparse Models, The Math, And A New Theory For GroundBreaking AI

Video: This intriguing theory from a master of conceptual science might end up being crucial to new AI advances. Get ready for a lot of math…! We have sort of an intuitive understanding of a big need ...
VentureBeat

OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Quanta Magazine

Sparse Networks Come to the Aid of Big Physics

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...
CU Boulder News & Events

Data Analytics Best Practices: Best Machine Learning Model for Sparse Data

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...
VentureBeat

DeepMind makes big jump toward interpreting LLMs with sparse autoencoders

Large language models (LLMs) have made remarkable progress in recent years. But understanding how they work remains a challenge and scientists at artificial intelligence labs are trying to peer into ...
EDN

Sparse AI MCU facilitates voice processing and cleanup at edge

While major microcontroller (MCU) suppliers like Infineon, Renesas, and STMicroelectronics have been incorporating artificial intelligence (AI) capabilities into their chips to facilitate applications ...