Process performance prediction now has a fresh and efficient method thanks to machine learning. Existing techniques do not provide good data protection capabilities. The novelty of this work is ...

We are really interested to see who uses our software, so if you do use it and you like what you see, please tell us about it. A star on github or an email saying thanks means a lot already, but ...

The construction and expansion of steam cracking plants and feedstock diversification have resulted in a significant demand for the numerical simulation and optimization of models to achieve molecular ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

ABERDEEN – The Aberdeen School District is pleased to announce its intent to apply for the 21st Century Community Learning Centers (21st CCLC) Cohort 9 Grant from the Mississippi Department ...

MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.

This article introduces a probabilistic machine learning framework for the uncertainty quantification (UQ) of electronic circuits based on the Gaussian process regression (GPR). As opposed to ...

Input tokens range from $0.07 to $0.55 depending on caching and time of day, while output ranges from $1.10 to $2.19. Discounted rates during off-peak hours bring prices down even further, to as ...