Research into chemical discovery, testing optimization and analysis can be a labor-intensive and time-consuming process. With ...

The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by ...

Abstract: Federated learning (FL) has emerged as a pivotal approach for edge-based distributed machine learning, yet it faces significant challenges due to the constrained capacities and heterogeneity ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

In the modern digital transformation era, advancements in data-driven healthcare are reshaping patient care and clinical ...

Mixing machine learning with fertility technology could be a science fiction plot. It can also be a company. Felicia von ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...