Hazel Tang A science writer with data background and an interest in the current affair, culture, and arts; a no-med from an (almost) all-med family. Follow on Twitter.
Wolfram Research, the company that designed technical computing system, Mathematica, has added machine learning tools into its software, so that researchers without formal AI training are able to utilize new technologies to improve their work efficiency.
The Wolfram computer language requires users to have basic coding knowledge but it transforms complex functions into simple language-like commands to reduce the time needed to learn to manipulate their work with AI.
Computational power is no longer limited to a specialized domain of experts. Other computer scientists are gradually joining the force of democratizing artificial intelligence (AI), by creating ready-to-use tools for the benefits of anyone without formal AI training. One of the latest additions was Ludwig, first made open-source by Uber this February to predict food delivery times.
But the trend toward off-the-shelf AI has risks. Novices who don’t consider the inner workings of pre-packaged versions of AI may overlook possible bias and inaccuracy in their final results.
