I've reviewed every PDF editor out there - then I had ChatGPT build me a better one ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Many failures in analog clock reading appear to come from heuristic or visual-approximation approaches. I propose a deterministic computer-vision + geometry pipeline that eliminates guessing and ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

One way to understand non-deterministic AI is by first distinguishing between deterministic and non-deterministic algorithms. In a deterministic algorithm, for a given particular input, the computer ...

In recent years, with the continuous development of reinforcement learning (RL), we have seen promising results in processing continuous action RL tasks 1,2,3,4,5. In dealing with some continuous ...

RuntimeError: cumsum_cuda_kernel does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True)'. You can turn off determinism ...

At the heart of programming lies the concept of algorithms—a step-by-step procedure or formula for solving a problem. In Python, algorithms are implemented to handle tasks like sorting, searching, ...

Abstract: The paper carried out a methodology to design stationary energy storage system (ESS) employing a deterministic algorithm. The primary scope is to maximizing economic benefits arriving to ...

Abstract: In multi-plane phase retrieval imaging, the accuracy and efficiency of phase retrieval algorithm are usually mutually restrictive. Specifically, deterministic algorithms struggle to achieve ...