Nature

Optimization Techniques in Deep Learning

Optimization lies at the heart of deep learning, driving neural networks to discover patterns in vast and complex datasets. Early approaches relied on batch gradient descent, which computes exact ...
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 ...