Time and again, futuristic ideas emerge in the debate about artificial intelligence, ascribing a complete problem-solving capability to the technology. This often fails to recognize the actual speed of development and real progress, which is currently geared towards specific technical application scenarios. In fact, efforts are being made to constantly expand the range of applications in order to achieve the greatest possible efficiency across the board. And AI development cannot avoid creating human-like capabilities.

But how can this progress be achieved? What limits have already been overcome and what are the overriding motives? Our CTO Florian Zyprian answers these questions in a German guest article for the trade magazine Springer Professional and provides exciting insights into the background of current AI development.

The most Important in a Nutshell

  • The modeling of human capabilities is necessary in order to provide relief for human activities.
  • To this end, economically effective AI systems combine different models that process different dimensions of information.
  • The field of application is still highly specialized. One example is the automated capture of data in documents.
  • Both individual models and composite systems can gain in generalizability.
  • In order to maximize external effectiveness, the system compositions are continuously optimized in line with the latest research findings.
  • One approach that contributes to this is zero-shot learning. The aim is to automatically manage context changes without individual training.
  • Even more flexibility is possible with container approaches that keep models with their required resources available in an isolated environment.
  • The overriding goal is to maximize value creation in the economy through expanded application possibilities.
  • One could assume small steps towards "general AI", which are necessary to support human tasks. However, the distance to this idea remains large for the time being.

About Springer Professional

Springer Professional is a German online magazine that offers a broad spectrum of knowledge from the fields of technology and business. The content ranges from topics such as business IT, electrical engineering and the automotive industry to management, finance and marketing. The offering is supplemented by specialist articles and current news that appeal to experts from science and practice alike.