Recent developments in radiation detection highlight advances in calibration accuracy, simplified measurement methods, portable FPGA + SoC-based systems, and AI + IoT integration. At the same time, ...

Abstract: State-of-charge (SOC) estimation plays a crucial role in battery management, and filtering methods based on equivalent circuit models (ECMs) are popular. In ECMs, the measured variable is ...

The hardest problem in any marketplace is not growth — it is knowing what caused it. Nihar V. Patel, a product data scientist ...

Researchers at KAIST have developed a brain-inspired 'warmup' training method that reduces AI overconfidence by briefly exposing models to random noise before task-specific learning. This approach ...

Second, we can and do pursue the truth, through experience, education, and instruction in the art and science of thinking.

Inc. ("a.s.ist") leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.

Background Preterm birth is associated with lifelong respiratory sequelae, yet our understanding of lung function trajectories across the lifespan remains limited. We aimed to identify patterns of ...

Abstract: This paper investigates the estimation performance of variational Bayesian divided difference filter (VB-DDF)-based algorithm for localization of partial discharge (PD) events measured using ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

The training error decreases with increasing neuron count and plateaus beyond 28 neurons per hidden layer. For the two-hidden-layer network, error stabilization is ...