Researchers have developed an AI-driven framework that improves genomic surveillance by identifying emerging virus variants ...
Abstract: The solution of a differential equation contains the forward model and the inverse problem. The finite element method (FEM) and the iterative approach based on FEM are extensively used to ...
New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
SenseTime co-founder Wang Xiaogang discusses the complexity of embodied intelligence through the lens of ACE Robotics.
Abstract: We study the problem of global stabilization by smooth output feedback, for a class of n-dimensional homogeneous systems whose Jacobian linearization is neither controllable nor observable.
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