Nature

Bayesian optimization and deep learning for steering wheel angle prediction

Automated driving systems (ADS) have undergone a significant improvement in the last years. ADS and more precisely self-driving cars technologies will change the way ...
Nature

Automating differentially private tabular data synthesis via Bayesian optimization

Generating high-fidelity synthetic tabular data under strict differential privacy (DP) constraints is a critical challenge. The practical deployment of DP-GANs is often derailed by extreme ...
Phys.org

Machine learning and 3D printing yield steel-strong, foam-light materials

Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...
Nanowerk

Strong as steel, light as foam: Machine learning and nano-3D printing create breakthrough nano-architected materials

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...