Brain-like computer steers rolling robot with 0.25% of the power needed by conventional controllers
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Sep-2025 11:11 ET (10-Sep-2025 15:11 GMT/UTC)
The National Institute of Standards and Technology (NIST) has selected FAU’s Hamming Quasi-Cyclic (HQC) algorithm for standardization in its Post-Quantum Cryptography project. HQC was chosen for its security, efficiency and practical implementation in secure key exchange, which protects digital communications and ensures safe encryption against future quantum computing threats. FAU is the only U.S. university involved among all the authors of the two, winning key-encapsulation mechanism schemes selected by NIST, highlighting its prominent role in the field of post-quantum cryptography.
Artificial intelligence (AI) plays a role in virtually every aspect of our lives, from self-driving cars to smart vacuum cleaners, to computer models that can predict the course of an epidemic. No matter how advanced these AI systems are, there always remains a certain degree of unpredictability about their behaviour. Thom Badings developed a new method to include this uncertainty in predictive algorithms, so that a safe solution can be achieved. His PhD defence takes place on 27 March at Radboud University.
Researchers at Kumamoto University have made a significant breakthrough in the field of control engineering by developing a highly accurate mathematical modeling technique for linear periodically time-varying (LPTV) systems. This pioneering research, led by Associate Professor Hiroshi Okajima of the Faculty of Advanced Science and Technology, opens new possibilities for improving technologies such as autonomous driving, robotics, and satellite navigation.