New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
IEEE

Generative Deep Learning-Enabled Multi-Objective Synthesis of Dual-Polarized Wide-Angle Loop-Family Frequency Selective Surfaces

Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...
IEEE

Data-Driven Closed-Loop Process Fault Diagnosis With Enhanced Fault Dynamics

Abstract: In a closed-loop system, feedback control may transfer process faults from source variables to other variables that obscure the diagnosis of the root cause of the fault. Taking the fused ...