Overcoming the above challenges demands testing practices tailored to AI systems, including: ...
Cost Function Design: Needs to balance path length, safety, energy consumption, and dynamic feasibility (for instance, robotic arms need to avoid joint limits). Industrial case: An AGV (Automated ...
Traditional computers rely on binary bits for computation, while quantum computers utilize quantum bits that have superposition properties. The research team chose atoms as carriers for quantum bits ...
Abstract: This article solves the convergence problem in the Parallel BK algorithm for large-scale flow networks. We introduce a merging method and a pseudo-Boolean representation-based invariance ...
We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...
Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...
Every creator knows the struggle: the algorithm decides who wins and who fades into obscurity. This video dives into the ongoing battle to stay visible, relevant, and creative in a system that never ...
Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...