Artificial intelligence has been in our lives for a while now. The benefits it brings to all kinds of businesses are clear, and they range from offering more remarkable experiences to avoiding errors and much more. Anyhow, once you decide on Artificial Intelligence, you have to choose wisely for an appropriate language to program it. Best make this choice based on the features desired for your project.
Here are some of them:
JAVA, owned by Oracle, is deemed the best possibility available as it offers the latest technology and the best performance, the most straightforward journey, and the capability to manage big projects. Java allows developers a wide range of choices and tools when designing web applications.
PHYTON does not offer as many features as others, but there are certain reasons why this would be a wise choice. Its compatibility with many different platforms, the tutorials, and the language support offered many developers, the prebuilt features that allow it to interact with various advanced computing programs, and the different options to develop using different algorithms, among other reasons.
JULIA has pros and cons to put on the balance. While its support community is not numerous, this programming language brings to the table many cool and useful tools. Analysis of data is one of the strongest points; in addition, the perfect execution of visuals, dynamism, proficient management of memory, and other advantages make it a delight to work with.
LISP was born in the 60s, and it might be the oldest option, but it is still one of the most adaptable languages. If you need easy modifications, dynamism, and feature speed, this is the right choice.
R is based on statistics. If you need statistical functions to be the main ones, R is the best way to go. Learning guides, a wide community of users, and industries back this programming language. A big plus, the features include different statistic techniques, personalized user packages, support to manage the data, and many more.
PROLOG means programming in logic; this language is also an old one, created in the ’70s, and is made to work towards database projects, processing of languages, automated symbolic reasoning, and others. It is also the best language research support. This language is perfect for automatic planning, typing systems, and more.
SCALA is especially good and efficient if you are looking for easy coding systems, as it offers many resources and supported guidance. Scala’s compatibility with Java, its high-performance level, its range of tools, and its flexibility make it one of the best options.
RUST offers a great package that includes safe development and speed, as well as an excellent high level of performance; it also preserves memory by preventing the accumulation of useless data. Rust is used by many popular systems like Firefox and Dropbox.
HASKELL does not come with very strong support, which can make it a little slower to work with, but it ensures good functionality and flexibility along the development process. It permits the coding to be reused, and it has good management of the program memory.