Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
In the quest for stronger, more resilient buildings and infrastructure, engineers are turning to innovative solutions, such as concrete-filled steel tube columns (CFST) strengthened with carbon ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback