Author: Adam Chernick

TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.

Amazon Web Services (AWS) is participating at the Reality Capture Network (RCN) conference in Boise, Idaho. Register For RCN to be part of the discussion and see how AWS is building reality capture and spatial computing solutions. As reality capture technology is becoming more mature, the impact on enterprise and industry is proving substantial. Decreasing […]

Introduction Reality capture (RC) is the process of digitizing real-world objects or environments. As this process can be complex, this post provides context to the current state of associated technologies. RC has vast implications in many industries, including Automotive, Aerospace, Oil and Gas, Engineering, Construction, and Real Estate. There is a fundamental shift taking place […]