Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...
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 ...
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 ...
AWS has expanded Amazon CloudWatch to unify log management across operational and security use cases. By integrating native ...
We believe this recognition from the IDC MarketScape validates our approach to solving one of healthcare's most ...
Answer Engine Optimization, known as AEO, is emerging as a core strategy for visibility in a search environment where ...
Audien Hearing Aids 2026 explores how the Audien Atom Hearing Aid delivers FDA-compliant OTC hearing care, advanced design, ...
Identification of Thermal Parameters for PMSMs Based on High-Fidelity Lumped-Parameter Thermal Model
Abstract: Thermal parameters in permanent magnet synchronous machines (PMSMs) often need to be identified or calibrated due to uncertainties arising from manufacturing and assembly processes. This ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Introduction Integrating smoking cessation supports into lung cancer screening can improve abstinence rates. However, ...
According to God of Prompt, the Mixture of Experts (MoE) architecture revolutionizes AI model scaling by training hundreds of specialized expert models instead of relying on a single monolithic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback