Neel Somani explains why interpretability must evolve faster than model size

When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...
IEEE

Spatiotemporal Transfer Learning for Distributed Parameter Systems Modeling

Abstract: Distributed parameter systems (DPS) are prevalent in industrial processes; yet, traditional modeling methods are inadequate for handling varying conditions. To address this, a spatiotemporal ...
IEEE

Enhanced Multi-objective Model Predictive Control for Permanent Magnet Assisted Synchronous Reluctance Machines: A Robust Implementation with Sparse Parameter Identification

Abstract: Model predictive control of permanent magnet machines is still attracting attention due to the need of simultaneously addressing computational burden, robustness to parameter variance and ...
InfoQ

AWS CloudWatch Evolves into Unified Observability Platform with Apache Iceberg Support

AWS has expanded Amazon CloudWatch to unify log management across operational and security use cases. By integrating native ...