When we learn something new, that information does not exist in isolation. It integrates into the complex landscape of our knowledge, forging connections with existing ideas and opening up ...

Abstract: In this article, a novel simulation-to-real (sim2real) multimodal learning framework is proposed for adaptive dexterous grasping and grasp status prediction. A two-stage approach is built ...

We tend to think of learning as something that happens in the mind, a mental exercise of reading, practicing, and remembering. But the truth is far more visceral. Every time you learn something new, ...

Give your threat hunting program memory and agency. The Agentic Threat Hunting Framework (ATHF) is the memory and automation layer for your threat hunting program. It gives your hunts structure, ...

Abstract: Federated learning (FL), a paradigm of distributed machine learning, aims to utilize user data for model training while safeguarding data privacy. However, numerous challenges arise in ...