Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...

Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...

PhD students and postdoctoral researchers: Students and postdoctoral researchers who are interested to join my research group at the Chinese University of Hong Kong, Shenzhen in China and at the ...

Ruihua Liu received his B.E. (1985), M.E. (1988) and Ph.D. (1994) in Engineering Science with a specialization in control theory and application from China's Nankai University. He came to the U.S. in ...

Abstract: Two stochastic model predictive control algorithms, which are referred to as distributionally robust model predictive control algorithms, are proposed in this article for a class of discrete ...

While iterative calibration of computational models is a fundamental aspect of digital twins, it has been largely overlooked. Instead of focusing on parameter identification for static models, the ...

To enhance the cost-effectiveness of vascular robotic systems in clinical settings, this study constructs an integrated forecasting-optimization framework for long-term resource planning. A weekly ...

The LWE-decision problem is the problem of deciding whether pairs \(({{{\bf{a}}}},c)\in {{\mathbb{Z}}}_{q}^{n}\times {{\mathbb{Z}}}_{q}\) are sampled according to a ...

This paper provides an important proposal for why learning can be much faster and more accurate if synapses have a fast component that immediately corrects errors, as well as a slower component that ...

Individual survival and evolutionary selection require biological organisms to maximize reward. Economic choice theories define the necessary and sufficient conditions, and neuronal signals of ...