The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Novel Machine Learning Techniques Measure Ocean Oxygen Loss More Accurately Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of ...

We analyze and contrast two ways to train machine learning models for solving AC optimal power flow (OPF) problems, distinguished with the loss functions used.

Mao, A., Mohri, M. and Zhong, Y. (2023) Cross-Entropy Loss Functions Theoretical Analysis and Applications. Proceedings of the 40th International Conference on Machine Learning, Honolulu, Vol. 202, ...

Explore how Mean Squared Error (MSE) compares to other loss functions in machine learning and when it's best to use it for optimal model performance.

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...