AI biases can influence people’s perception of history
Peer-Reviewed Publication
Updates every hour. Last Updated: 4-Apr-2026 16:15 ET (4-Apr-2026 20:15 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With the speed at which technology advances, there is little room for suboptimal performance and out-of-date tech.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.
This study builds upon previous research by establishing a synergistic model that links oxidative stress, membrane permeability, and energy metabolism to elucidate the mechanism of DIBP-induced ARG conjugation. These findings further expand our understanding of PAE specificity in promoting ARG dissemination, highlighting the distinct role of branched-chain isomers compared to their straight-chain counterparts.