A high level language for Mathematical Programming modeling is provided within a low level general purpose object oriented programming language. Libraries can be provided with a standard low level language enabling the use of the high le... J Yang - US 被引量: 31发表: 2009年 Model integration...
JuMP: A Modeling Language for Mathematical Optimization JuMP is an open-source modeling language that allows users to express a wide range of optimization problems (linear, mixed-integer, quadratic, conic-quadra... I Dunning,J Huchette,M Lubin - 《Mathematics》...
Chapman, A.: 1997, ‘Towards a model of language shifts in mathematics learning’, Paper presented at British Society for Research into Learning Mathematics Conference, University of Oxford.Chapman, A. (1997). Towards a model of language shifts in mathematics learning. Mathematics Education Research...
Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper published in Nature today, the researchers say it is the first time a large language model has been used to discover a solution to a long-standing scientific ...
RECREATIONAL mathematicsArtificial intelligence (AI) has permeated all human activities, bringing about significant changes and creating new scientific and ethical challenges. The field of education could not be an exception to this development. OpenAI's unveiling of ChatGPT, their large ...
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Therefore, Xueersi decided to form a team to specialize in MathGPT, a large model in the mathematics field, and use its many years of accumulation in mathematics and AI to do the foundational work for mathematics in the era of AI large models, aimed at mathematics enthusiasts and research in...
Grammar is defined as the whole structure and system of a language, and has been compared to a geometrical order for centuries. Within mathematics, geometry stands for the study of the spatial relationships between the lines, angles, and surfaces of things. Flat shapes such as circles or ...
a language model trained on science corpus, and establish state-of-the-art results on three downstream tasks, named entity recognition, relation classification, and abstract classification. We make the pre-trained weights of MatSciBERT publicly accessible for accelerated materials discovery and information...