AI could prevent construction delays before they happen, study finds
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 14-May-2026 05:15 ET (14-May-2026 09:15 GMT/UTC)
Artificial intelligence could help construction projects rewrite their schedules the moment risks emerge, according to new peer-reviewed research from the University of East London. The study outlines a framework that would connect AI risk detection systems directly to project planning software, allowing safety hazards, supply delays and contractual issues to trigger automatic adjustments before disruption spreads. Researchers say the approach offers a practical pathway towards more resilient and productive infrastructure delivery.
With the speed at which technology advances, there is little room for suboptimal performance and out-of-date tech. Precise positioning is a field where advancement is needed, as many conventional applications feature tools that are much larger than the objects being worked upon, making high precision a difficult task. Additionally, those that are highly precise have a limited range of motion. Researchers did not want to compromise, and instead set out to create a highly precise machine with a wide range of motion, and were able to do so by developing a palm-sized, precise positioning robot making use of piezoelectric actuators.
Results were published in Advanced Intelligence Systems in January 2026.
A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science (KIMS), in collaboration with Dr. Jaemin Wang and Prof. Dierk Raabe of the Max Planck Institute in Germany, has developed an artificial intelligence (AI)-based model capable of assessing the likelihood and characteristics of internal defects during process design. This research achievement is expected to significantly enhance the reliability of metal additive manufacturing parts and greatly expand their applicability for mass production in industrial settings.