idw – Informationsdienst Wissenschaft

Nachrichten, Termine, Experten

Grafik: idw-Logo
Science Video Project
idw-Abo

idw-News App:

AppStore

Google Play Store



Instance:
Share on: 
08/06/2024 11:28

Why is mathematics indispensable for artificial intelligence?

Thomas Vogt Freie Universität Berlin, FB MI, DMV-Medienbüro
Deutsche Mathematiker-Vereinigung

    While artificial intelligence (AI) is perceived today as a subfield of computer science, many people are unaware that it is a highly interdisciplinary field that benefits massively from ideas from mathematics, as five mathematical societies have now jointly declared.

    Five major mathematical societies have jointly agreed on a statement on the importance of mathematics for artificial intelligence (AI).
    „A person who refuses to deal with arithmetic is doomed to talk nonsense". This sentence comes from John McCarthy, Professor of Artificial Intelligence and one of its founding fathers. While AI is now perceived as a subfield of computer science, many people do not realize that it is a highly interdisciplinary field that benefits massively from ideas from mathematics. Mathematics helps to increase the safety and efficiency of AI systems.

    Four examples:
    - Generative AI, which generates amazingly realistic images from simple text input, uses sophisticated mathematical concepts such as diffusion models based on stochastic differential equations.

    - Modern AI systems are usually based on complex neural networks. It is now known that neural networks can be unstable: The smallest disturbances in the input data (e.g. so-called adversarial attacks) can lead to massive errors in the results. In practical applications such as autonomous driving or medical diagnostics, this poses a considerable safety risk. Mathematics is researching how such instabilities can be controlled by improving the design of neural networks.

    - Neural networks in AI systems depend on millions and millions of parameters. This makes them opaque to us humans. The aim of mathematics is to develop more compact models that require fewer parameters for the same performance, are more transparent and therefore more explainable and also enable performance guarantees in critical applications.

    - In order for neural networks to deliver the required performance, their parameters have to be trained at great computational expense. This consumes enormous energy resources. Forecasts assume that future AI systems worldwide will consume the electricity requirements of entire countries such as the Netherlands, Sweden or Argentina. By developing modern optimization methods, mathematics is making the training of neural networks more efficient and resource-saving.

    Although it is often claimed that AI is a black box, all elements of AI can actually be explained with mathematical precision. This includes the statistical understanding of the data, the training objectives, the training methods and the network architectures. All of this allows us to understand the success of neural networks, for example. A sound mathematical education makes it possible to model training objectives in such a way that important aspects, such as security considerations, can be taken into account during training. In addition, abstract mathematical thinking allows solutions from certain application domains to be efficiently transferred to other areas. "All of this makes it clear that mathematics plays a key role in the development and understanding of AI," say the authors of the statement. The statement was signed by the presidents of the following professional associations:

    DMV: German Mathematical Society
    GAMM: Society for Applied Mathematics and Mechanics
    GIP: Society for Inverse Problems
    GOR: Society for Operations Research
    Committee for Mathematical Modeling, Simulation and Optimization

    You can also find the entire statement at https://www.mathematik.de/dmv-blog


    Original publication:

    https://www.mathematik.de/dmv-blog


    Images

    Criteria of this press release:
    Journalists
    Information technology, Mathematics, Social studies
    transregional, national
    Miscellaneous scientific news/publications, Transfer of Science or Research
    English


     

    Help

    Search / advanced search of the idw archives
    Combination of search terms

    You can combine search terms with and, or and/or not, e.g. Philo not logy.

    Brackets

    You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).

    Phrases

    Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.

    Selection criteria

    You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).

    If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).