American Institute of Physics

Multi-objective algorithm speeds up UAV search-and-rescue

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
Scientific Research Publishing

Shlomi, J., Battaglia, P. and Vlimant, J.-R. (2020) Graph Neural Networks in Particle Physics. Machine Learning: Science and Technology, 2, Article 021001.

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.
IEEE

Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems

Abstract: The reversible residual neural network (RRNN) model is a bidirectional neural network model, which has recently gained attention in the design of various control methods in turntable servo ...