A machine learning framework, equipped with a unitary Koopman structure, is designed to reconstruct Hamiltonian systems using either noise-perturbed or partially observational data. This framework can ...

Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.

Abstract: A method for calculating the critical current of high temperature superconducting (HTS) machine using boundary magnetic vector potential constrain and bisection method is proposed in this ...

A study reported that the conventional method of searching follicular fluid didn’t find all the eggs. The new technology found extra eggs more than half the time. A viable egg found by the OvaReady ...