While the answer of TypeScript’s creators is “yes,” academic researchers who work on similar programming languages tend to ...

Mixed-integer linear programming (MILP) and constraint programming (CP) models are developed for formulating the problem. We prove that the problem is NP-hard. To obtain exact solutions, we propose a ...

SEAL in few-shot learning Source: arXiv For few-shot learning, the researchers tested SEAL on examples from the Abstract Reasoning Corpus (ARC), where the model must solve visual puzzles ... reduce ...

In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Per AI safety firm Palisade Research, coding agent Codex ignored the shutdown instruction 12 times out of 100 runs, while AI models o3 and o4-mini did it seven times and once, respectively. All ...

The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, medical ...

where Q must be positive semi-definite and, if Q is zero, there may be a requirement that some of the variables take integer values. Thus HiGHS can solve linear programming (LP) problems, convex ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

We observe strong agreement between experimental data and numerical predictions, indicating that our model can serve to predict directionality and speed of a particle prior to fabrication. Shape ...

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