HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.
Health tracking technologies offer insights into wellbeing but may also cause anxiety and data misinterpretation. Evaluating ...
Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...