Amazon’s Robotics Revolution: How Automation Is Reshaping Workforce Strategy
The Automation Shift at Amazon Amazon, the nation’s second-largest employer, is reportedly planning a significant strategic pivot toward automation that…
The Automation Shift at Amazon Amazon, the nation’s second-largest employer, is reportedly planning a significant strategic pivot toward automation that…
Scientists have created an automated system for tracking Himalayan glacial lakes using artificial intelligence and satellite imagery. The technology reportedly achieves over 94% accuracy in identifying these potentially dangerous water bodies that threaten downstream communities with catastrophic flooding.
Researchers have established an automated method for mapping glacial lakes in Himachal Pradesh using multi-source remote sensing data and machine learning, according to recent scientific reports. The system employs a random forest classifier that analysts suggest achieved classification accuracy of 93.69% when combining Sentinel-1 SAR, Sentinel-2 MSI, and SRTM DEM data, with performance improving to 94.44% when incorporating high-resolution Planet imagery.
A new Automation Innovation Lab has opened at the University of North Dakota through a partnership with Border States and ECN Automation. The facility aims to provide practical experience for engineering students while addressing regional workforce shortages in automation engineering.
Border States has launched an Automation Innovation Lab at the University of North Dakota in collaboration with ECN Automation and the university’s College of Engineering and Mines, according to reports. The facility, which opened in time for the fall semester, represents a significant investment in engineering education and regional workforce development.