In a recent tweet, Dharmesh Shah acknowledged that Javascript/Typescript is the second most popular language in A.I. after Python, but it’s gaining in popularity due to its widespread use for front-end and back-end web development.
According to a report by GitHub, Javascript is the fourth most popular programming language on their platform, following Java, Python and Ruby. However, when it comes to machine learning and artificial intelligence (A.I.), Python has been the dominant player due to its simplicity and ease of use.
But in recent years there has been a surge in interest towards using Javascript for A.I., thanks to its versatility and flexibility. Developers are exploring new ways of integrating machine learning algorithms into their web applications with the help of Javascript frameworks like TensorFlow.js and Brain.js.
One reason why Javascript is gaining traction among developers is because it’s already widely used for developing web applications. This means that developers don’t have to learn a completely new language or framework when adding A.I. features to their existing projects.
For example, companies like Airbnb are using machine learning algorithms written in Javascript/Typescript for tasks such as image recognition and fraud detection. Another example is Google’s Teachable Machine project which allows users to create custom machine learning models directly from their browser using JavaScript-based tools.
In addition, frameworks like Node.js allow developers to run server-side code written in JavaScript/TypeScript which can be particularly useful when building real-time applications that require processing large amounts of data on-the-fly.
However, despite its growing popularity among developers interested in A.I., some experts argue that JavaScript may not be the best option for complex deep-learning models due to performance limitations compared with languages like C++ or CUDA-enabled GPUs favored by researchers working on cutting-edge research projects.
Overall, while Python remains the most popular choice among A.I. researchers and scientists today – as evidenced by libraries such as TensorFlow – it’s clear that JavaScript will continue to play a growing role in the field of machine learning and A.I. as developers seek to build more intelligent, interactive web applications.