Nature

Deep Kernel learning for reaction outcome prediction and optimization

Recent years have seen a rapid growth in the application of various machine learning methods for reaction outcome prediction. Deep learning models have gained popularity due to their ability to learn ...
Nature

Deep reinforcement learning-driven multi-objective optimization and its applications on lighting infrastructure operation and maintenance strategy

Tunnel lighting systems serve as critical infrastructure that enhances traffic safety and operational stability, with their reliability and operational status directly influencing drivers’ visual ...

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically ...