From self-driving labs to predictive molecular models, AI is reshaping how chemists discover drugs, design materials, and optimize reactions. By integrating automation, machine learning, and human ...

With growing focus on the existential threat quantum computing poses to some of the most crucial and widely used forms of ...

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...

Fruit names aren't uncommon in the technological space, with major brands like Apple or Blackberry coming front to mind.

In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...

Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...

Abstract: With the development of science and technology, machine learning is gradually applied to the field of insurance to cope with the complex insurance fraud that is difficult to identify by ...

Abstract: The standard Bayesian optimization algorithm encounters the curse of dimensionality in high-dimensional problems. The difficulty of optimizing the acquisition function increases, resulting ...