How Orchestration Helps Solve The Data Challenge Behind The Next Wave Of Automotive AI

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
IEEE

A Joint Routing and Time-Slot Scheduling Load Balancing Algorithm for In-Vehicle TSN

Abstract: To address the real-time transmission challenges of multiple types of data frames in Advanced Driver Assistance Systems, this paper proposes an in-vehicle Ethernet transmission technology ...
IEEE

Low-Complexity ZNN Model Handling Time-Varying Generalized Matrix Inversion Problems with Multilayered Sensor-Related Disturbances Applied to Robot Manipulator

Abstract: Sensor-related disturbances and measurement uncertainties often degrade the performance of dynamic neural network methods in solving time-varying problems, especially the time-varying ...