This session examines how artificial intelligence is enabling real-time clinical decision-making across healthcare systems.

While it is vital for investment firms to focus on clients, asset management entrepreneur Adina Grigoriu refuses to ditch ...

Abstract: In order to improve the energy recovery efficiency during braking of electric vehicles, a high-frequency energy recovery system efficiency optimization algorithm based on GaN power module is ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

We recommend conducting performance analysis on the current code to identify bottlenecks and implement appropriate optimizations. Consider using profiling tools to locate slow queries or inefficient ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

Abstract: Proper trajectory planning can ensure flight safety, facilitate Unmanned aerial vehicle(UAV) efficiency and reduce cost. A trajectory planning strategy is proposed in this paper, which ...

ABSTRACT: The increasing complexity of urban infrastructure and mobility has driven the need for new technologies to monitor traffic efficiently in urban settings. Automated monitoring systems ...