Research conducted at UCL shows that multi-contrast images, generated by combining different x-ray imaging technologies like attenuation and dark field with machine learning, can improve the detection of threatening materials.
U.S. intelligence has put the call out to the AI and machine learning sector, asking for software algorithms that can identify and locate people and vehicles from reams of video footage, before analysing the data for anomalies and possible threats.
Berlin-based investors Cavalry Ventures and Merantix led the financing of Deltia.ai’s automated imaging systems that combine AI with station-mounted and bird-view cameras for use on production lines.