Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.
Semiconductor Engineering

AI Design Reshapes Data Management

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...
The Robot ReportOpinion

Data security is the foundation of trust in physical AI

Developers of physical AI such as field and inspection robots need to consider cyber and data security, explains ANYbotics' ...
IEEE

Learning Safe Data-Driven Control Barrier Functions for Unknown Continuous Systems

Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...
IEEE

Full-Spectrum Analysis with Machine Learning for Quantitative Assessment of Lateral Flow Immunoassays: A Platform Approach

Lateral flow immunoassays (LFIAs) provide rapid point-of-care results but lack quantitative capabilities. This study presents a platform technology integrating full-spectrum analysis (400-700 nm) with ...
WBTW

Data center control bill finds mixed support at Statehouse hearing

COLUMBIA, S.C. (WBTW) — An effort by some lawmakers to tightly regulate future data centers built across South Carolina met with mixed reviews Tuesday by industry leaders. If approved, S. 867 would ...