Abstract: Rigorous evaluation is central to the safe and effective deployment of machine-learning (ML) systems in healthcare, but these evaluations are often time-intensive and expensive to conduct.

IIED Europe is recruiting a senior monitoring, evaluation and learning (MEL) advisor for an immediate start, based in the Netherlands. Article, 22 September 2025 Two participants exchange ideas at the ...

Abstract: Nonintrusive load monitoring (NILM) enables the acquisition of appliance switch states and power consumption information, providing valuable References for energy conservation and emission ...

INDIANAPOLIS — A change in how Indiana tracks certain special education documents has led to confusion at the start of the new school year, with parents, teachers and districts scrambling to get ...

VIENNA, June 18 (Reuters) - Austria's coalition government has agreed on a plan to enable police to monitor suspects' secure messaging in order to thwart militant attacks, ending what security ...

Arapahoe Basin Ski Area has released a draft master plan for future upgrades to the ski area, including additional parking, two new gondolas, a new lift, and a new learning area and expanded ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Traditional home security monitoring from companies like ADT or Frontpoint tend to start at around $50 per month, and quickly rise with add-ons and extra fees (when I tested ADT’s latest system, ...