Nature

Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations

In applications of complex systems, observations are fundamental to tasks such as mechanistic understanding, dynamics reconstruction, state prediction, and control. When the available data are ...
The Next Web

What’s the transformer machine learning model? And why should you care?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...
Semiconductor Engineering

AI Transformer Models Enable Machine Vision Object Detection

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...