In the life sciences industry, the demand for automation and precision in biological sample imaging is transforming how research laboratories capture, analyze, and classify data. A U.S.-based research automation company sought to advance its imaging systems using AI to detect sample conditions directly at the edge. To achieve this, the company turned to Premio’s BCO-6000-RPL Series High-Performance Industrial Computer, combining Intel’s latest Core i9 performance with GPU acceleration for high-speed, reliable AI inference and model training at the edge.