2022 was the year of artificial intelligence (AI). Sectors such as science and medicine had already been using AI-powered software and equipment, but it was not until this past year that its uses went viral on the Internet and social networks, with this technology reaching other industries and platforms.

The first to become popular were DALL-E of OpenAI and midjourney, both artificial intelligence programs with which users can create images from textual descriptions. With them, Internet users could say that they had fun, creating any type of illustration.

But 2022 closed with ChatGPT as the most popular AI, at least in the last quarter of the year. It was also developed by OpenAI and is a trending copywriting bot on the internet and social media, powered by GPT-3 software. With this program they have even created Christmas songs.

The boom in artificial intelligence programs leads us to wonder What will this technology surprise us with next year?. The answer seems to revolve around the call adaptive artificial intelligence.

What is adaptive artificial intelligence

the website of iPro UP cited a report by the firm Gartner that talks about the technological advances that we will see in 2023 and that includes adaptive artificial intelligence.

The report recalls that more and more companies are adopting AI systems to optimize customer service, design intelligent and self-sufficient solutions, and improve their competitive position in the market. It is not only about the science or health sector, but manufacturing, the media, among others.

The first of our technological trends, Adaptive AI goes one step further, surpassing the traditional models of automatic learning or Machine Learning that have been applied up to now”, the report explains.

Experts say that systems based on adaptive learning will make fewer mistakes: “While traditional AI systems can be significantly affected in their level of functional accuracy and efficiency, with changes in the operating environment, AI systems based on an adaptive learning method employ a flexible and continuously enriched approach”.

This approach allows the system to monitor and learn from changes that occur.while continuing to work on older forecasts, keeping processes updated in real time”, concludes the text, which promises that we will see how adaptive artificial intelligence leaves the rest behind.

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