LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research
Abstract: The majority of the results on modeling recurrent neural networks (RNNs) are obtained using delayed differential equations, which imply continuous time representation. On the other hand, ...
A Chinese AI system has outperformed its US competitors in solving geometry problems at the International Mathematical Olympiad (IMO) level, taking less than half the time and using simpler ...
Abstract: Federated learning (FL) that enables edge devices to collaboratively learn a shared model while keeping their training data locally has received great attention recently and can protect ...
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