Traditional 3D printing relies on trial-and-error methods, manual adjustments, and predefined settings. However, ML ...
The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and NTT Research, Inc., a division of NTT, announced the publication of research showing an application of ...
A new study shows an application of machine-learning directed optimization (ML-DO) that efficiently searches for ...
Enzymes significantly speed up the chemical reactions that keep you alive. Researchers are using AI to create new ones to tackle modern challenges.
One of the most advanced types of AI today is machine learning (ML), which allows computers ... sometimes needing a little optimization to achieve peak performance. After testing, engineers ...
Thomas, S. and Myakala, P. (2025) Beyond the Cloud: Federated Learning and Edge AI for the Next Decade. Journal of Computer and Communications, 13, 37-50. doi: 10.4236/jcc.2025.132004 .
To tackle the resulting non-convex ... optimization with a line search framework to update the precoder and phase shift matrix iteratively. Furthermore, we extend our solution to address the ...