Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty. 

Using EUROSTAT data and double randomization, the co-led study improves the Benefit of the Doubt model through a novel Ensemble-DEA framework that mitigates the curse of dimensionality in SDG indicators. Published in Expert Systems with Applications, the method offers more reliable EU performance rankings and benchmarking tools for evaluating sustainability policies across member states.

Using an AI-supported model developed in-house, an interdisciplinary team at TU Graz has sought new methods to enhance the efficiency of aircraft engines.

A groundbreaking review published in SmartBot presents a comprehensive analysis of Kinematically Redundant Parallel Mechanisms with Configurable Platforms (PMCPs), a transformative robotic technology that balances the precision of parallel mechanisms with the flexibility of configurable end-effectors. Authored by Chunxu Tian from Fudan University and Dan Zhang from The Hong Kong Polytechnic University. The study addresses key challenges in PMCP development and outlines future directions to advance next-generation adaptive robotic systems.

The human brain contains about 100 billion brain cells, and the chemical and electrical signals they exchange create most mental functions. Neural implant technology for precisely reading these signals is essential for the research and treatment of neurodegenerative diseases. A research team from KAIST and international collaborators has successfully implemented a fully wireless, ultra-small implant, which was previously only a theoretical possibility, going beyond simple miniaturization and weight reduction of neural implants.