Accounting for uncertainty to help engineers design complex systems
Reports and Proceedings
Updates every hour. Last Updated: 7-Oct-2025 03:11 ET (7-Oct-2025 07:11 GMT/UTC)
MIT researchers developed a framework that can help engineers design systems that involve many interconnected parts in a way that explicitly accounts for the uncertainty in each component’s performance. This could lead to electronic devices like drones and robots that are more robust and reliable in unpredictable, real-world situations.
The University of Texas at Dallas has received continuing federal support for the Center for Wind Energy Science, Technology and Research (WindSTAR), a public-private research partnership designed to develop solutions for energy independence and reliability.
WindSTAR, which is run by UT Dallas and the University of Massachusetts Lowell, recently received a five-year, $500,000 grant from the National Science Foundation (NSF), which has supported WindSTAR since it was founded in 2014.
In the era of instant data exchange and growing risks of cyberattacks, scientists are seeking secure methods of transmitting information. One promising solution is quantum cryptography – a quantum technology that uses single photons to establish encryption keys. A team from the Faculty of Physics at the University of Warsaw has developed and tested in urban infrastructure a novel system for quantum key distribution (QKD). The system employs so-called high-dimensional encoding. The proposed setup is simpler to build and scale than existing solutions, while being based on a phenomenon known to physicists for nearly two centuries – the Talbot effect. The research results have been published in prestigious journals: “Optica Quantum”, “Optica”, and “Physical Review Applied”.