The 10 AI trends for 2018. Part 2: General AI trends

by | 19 December 2017 | Basics

After we had looked at the 10 AI trends for 2018 dedicated to specific individual use cases, we turn to more general, overarching trends in Part 2 of AI Trends. Here, too, there will be numerous individual applications and examples in which KI then comes into use. Nevertheless, the developments are so general that they are not limited to just one use case, but can lead to many others.18.

6. AI programmes itself and other programmes

Several interesting announcements in recent weeks and months hint at this trend. First, a Google research team announced that an AI software had in turn written itself. A short time later, Microsoft also announced that an algorithm had succeeded in copying itself. In a competition between human programmers and AI programmers, the programmes that were artificially generated performed better on reference tasks.

The Programming ability of AI programmes Recently, a Google AI also succeeded in developing an encryption that was previously neither properly understood by programmers nor crackable in attacks.

This is a significant development for the future of programming. It could very soon lead to intelligent programmes being used for this purpose, Automatically deliver codes for specific tasks or problems.

Especially in a complex Industry 4.0 environment such as a smart factory, standard software cannot usually be used because special solutions are needed for many individual scenarios. Until now, these have been created manually. In the future, this time-consuming task can be done much more efficiently and comprehensively with the help of AI and help Industry 4.0 achieve a further breakthrough.

7 AI Gaming: The Real Battle of Man vs. Machine

Games have long been one of the Benchmarks on the evaluation of artificial intelligence. The gaming industry will benefit greatly from AI and become enormously exciting for players. Already, an AI player has managed to defeat one of the world's best players in "Dota 2" - a game that causes frustration for many novice players due to its complexity.

The next envisaged step is to make AIs competitive in team games as well. AI opponents will then also be able to appear and act like this in complex strategy games. as if they were human opponents.

YouTube

By loading the video you accept YouTube's privacy policy.
Learn more

load Video

8 Creative Artificial Intelligence: When Algorithms Make Art

Already today there are first intelligent Algorithmswho can analyse, understand and create music. Music lends itself to this in that it is an artistic field that, compared to other Art forms very regular is. The demand for low-cost and GEMA-free pieces for use in videos, online multiplayer games or commercials could also be easily met in this way. Suitable forms of marketing for artificially generated music via Blockchain already exists. The first attempts in this direction are promising, as the following video shows:

YouTube

By loading the video you accept YouTube's privacy policy.
Learn more

load Video

A song based on Beatles songs - composed by an AI.

In other creative fields, too, the first attempts have been made for some time to teach AIs how to write screenplays, for example. A screenplay written by an AI was even made into a film. Everyone can see the quality for themselves:

YouTube

By loading the video you accept YouTube's privacy policy.
Learn more

load Video

As in other areas where AI is used, however, the field of creative artificial intelligence is not about replacing creative people. Rather, it is also about dealing creatively with new technical means and opening up new areas of application. Composing suitable music in real time in online multiplayer games, for example, does not really challenge an existing solution, but pushes into completely new areas.

9. deep learning or machine learning becomes suitable for everyday use

Machine learning algorithms are one of the manifestations of artificial intelligence. Machine learning (ML) is characterised above all by the fact that intelligent programmes Learning from experience can. A special class of machine learning algorithms, on the other hand, is Deep Learning. The latter is mainly used in applications such as voice and face recognition.

This year, the news that the processor of the new iPhone is so powerful that it can use ML algorithms to improve photos or in face recognition, for example, was particularly interesting in this context.

Link tip: Want to learn more about Machine Learning? Take a look at our Machine Learning Training.

The new generation of devices thus learns a face so well that over time it no longer matters whether the user wears a beard, is heavily made up or changes his or her face in some other way. This opens up numerous use cases - not only in the private sphere, but especially in the industrial and professional context.

Reading Tip: In our basic article we deal with all the  Basic terms around Artificial Intelligence such as deep learning or machine learning.

10. AI becomes the standard for apps and business applications

For special areas of application such as the Autonomous driving AI is at the centre of the respective applications. However, AI will also increasingly become the standard for apps and corporate applications in the coming year.

While, for example, users of professional image editing programmes such as Photoshop or Lightroom have had to reach for the mouse or virtual brush themselves until now, the first programmes have recently become available in which an intelligent algorithm automatically takes over the editing. Google is also fine-tuning algorithms that automatically edit images, and in Google's new flagship smartphone, some of this is even done in the camera itself.

Strictly speaking, machine learning algorithms are also running in the background in these two examples. However, other forms of artificial intelligence can also be used in this trend. In accounting software, integrated decision trees can help, Optimise processes and to automate. Business software will use AI to help make everyday work more efficient and, most importantly, to Data analyses easier to include, for example, in order to To make recommendations for action. A IDC study estimates that by 2021, AI will be used in 75 % of commercial enterprise applications.

AI trends 2018 - It will definitely be exciting

The AI trends 2018 show that there are numerous use cases for artificial intelligence in the most diverse areas and industries. Companies are only at the beginning when it comes to the numerous possibilities of AI. Time will tell whether new AI trends will emerge.

<a href="https://www.alexanderthamm.com/en/blog/author/michaela/" target="_self">Michaela Tiedemann</a>

Michaela Tiedemann

Michaela Tiedemann has been part of the Alexander Thamm GmbH team since the early start-up days. She has actively shaped the development from a fast-moving, spontaneous start-up to a successful company. With the founding of her own family, a whole new chapter began for Michaela Tiedemann at the same time. Hanging up her job, however, was out of the question for the new mother. Instead, she developed a strategy to reconcile her job as Chief Marketing Officer with her role as a mother.

0 Comments

Submit a Comment

Your email address will not be published.