Series Artificial Intelligence

Get insights into new technologies and read interviews with AI experts at Fraunhofer IIS.

Shaping the future with human and artificial intelligence

The Fraunhofer IIS magazine’s series on AI

Artificial intelligence (AI), cognitive systems and machine learning are key to the future transformation of the economy and society. For the global economy and industrial value chains this means a fundamental structural shift, because such technical systems are capable of learning and are increasingly in a position to apply what they have learned to new situations. They can plan processes, make forecasts and even interact with humans. The International Data Corporation estimates that global expenditure on cognitive solutions will reach 40 billion US dollars by the end of 2020. Not only does the use of new technologies create new opportunities, it also always forces us all to face new challenges. Ensuring Germany’s technological leadership in AI calls not only for technological solutions, but also for a dialogue within society. Fears and myths must be dispelled through scientific insight. Machines will expand our sphere of influence, but they will not lead the way.

 

At many of its institutes, the Fraunhofer-Gesellschaft develops key AI technologies and related applications in areas such as robotics, image and speech processing, and process optimization. Machine learning techniques for industry are as much a part of this as the use of cognitive systems in cybersecurity and essential research into artificial neural networks. Our research plays a major role in shaping AI theory and ethics, while also orienting itself strongly to customers’ practical requirements.

In our magazine series, you’ll discover more about why Fraunhofer IIS uses AI, what our current projects are and how you can collaborate with us.

AI series: Neural networks that fire spikes

Communication Systems / 9.3.2021

Johannes Leugering
© Fraunhofer IIS/Paul Pulkert

Analog or digital – two terms that will be quite familiar to most people. But when it comes to artificial intelligence, only the experts know that there’s something “in between.” They call this “in between” the spiking neural network (SNN). One of the main hopes for the SNN approach is that it will resolve how to integrate “intelligence” directly into devices. Cognitive scientist Johannes Leugering explains what’s involved.

To the article

Neuromorpic hardware: Paving the way for Edge AI

Communication Systems / Smart Sensing and Electronics / 10.3.2021

Robotic lawn mowers have only limited “intelligence”: up to now they have needed a boundary cable to prevent them from accidentally buzzing the neighbor's grass as well. Edge AI will make it possible to equip lawn mowers, sensors or other devices with artificial intelligence – without having to send the data gathered for the intelligent task to the cloud. Instead, the “intelligence” will be located in the device itself. But in many cases, this can work only with the help of special, extremely energy-efficient chips; powerful microcontroller chips are rarely suitable because they consume too much energy and are too expensive.

To the article

Edge AI: Stronger together

Communication Systems / Smart Sensing and Electronics / 21.12.2020

© ©Siarhei - stock.adobe.com

Some challenges are best faced shoulder to shoulder – like developing the chips, algorithms, and the hardware needed to integrate artificial intelligence directly into end devices, a paradigm also known as “Edge AI”. Marco Breiling, chief scientist at the Fraunhofer IIS Communication Systems division and Dr. Loreto Mateu, group manager at the Fraunhofer IIS Smart Sensing and Electronics division, talk about why their collaboration on Edge AI is so fruitful, and the benefits of working in an international team.

To the article

AI series: European Sovereignty in AI

Fraunhofer IIS / 23.11.2020

Prof. Dr. Alexander Martin, Fraunhofer IIS director, responsible for the Positioning and Networks as well as the Supply Chain Services research areas

How can we leverage our expertise on a European level so as to ensure European sovereignty in AI? Statement from Prof. Dr. Alexander Martin, Fraunhofer IIS director, responsible for the Positioning and Networks as well as the Supply Chain Services research areas

 

To the article

AI series: Next generation artificial intelligence

Fraunhofer IIS / 12.11.2020

Künstliche Intelligenz
© ©Siarhei - stock.adobe.com

Whether it’s about automating processes or analyzing large data volumes, smart and self-learning systems are increasingly becoming an important part of business processes. In the past, these smart systems had to be connected to a cloud because that was the only way of providing the level of computing power required to run the mathematical algorithms. Now edge AI, short for edge artificial intelligence, is enabling the next generation of smart systems and transferring the know-how to the devices themselves.

To the article

AI series: Edge AI FAQ

Fraunhofer IIS / 12.11.2020

© istock.com Kaikoro

Artificial intelligence gives technical systems the ability to learn, thus enabling them to apply what they have learned to new situations. Typically, the “intelligence” is not stored in the system itself, but rather in clouds that provide the high computing power required. The common term is therefore cloud artificial intelligence, or cloud AI. But people are also hearing more and more about edge AI.

To the article

AI series: Putting artificial intelligence into practice

Fraunhofer IIS / 30.9.2020

© Adobe Stock/sdecoret

How can AI benefit business and industry, and what is Fraunhofer IIS currently researching? The division directors of Fraunhofer IIS highlight the opportunities AI technologies have to offer.

To the article

AI series: How AI can boost efficiency in logistics

Cognitive Sensor Technologies / Supply Chain Services / 12.6.2020

Christian Menden
© Fraunhofer IIS/Paul Pulkert

Head of Department Christian Menden is responsible for developing an AI strategy for the Working Group for Supply Chain Services (SCS).

To the article

AI series: Mining data to extract knowledge

Cognitive Sensor Technologies / 5.6.2020

© Fraunhofer IIS/Paul Pulkert

Prof. Alexander Martin is head of the Fraunhofer IIS and also in charge of the co-located ADA Lovelace Center. He and his team are looking into ways to extract information from big data using artificial intelligence (AI).

To the article and video

AI series: Machine learning drives industrial projects forward

Cognitive Sensor Technologies / Postioning and Networks / 7.2.2020

Dr. Christopher Mutschler
© Fraunhofer IIS/Manuela Wamser

Dr. Christopher Mutschler is one of the AI experts at Fraunhofer IIS. He researches machine learning and ensures that scientific findings make their way into industry. In this interview, Ilona Hörath reflects on his career path and field of work.

To the article and video

»This is absolutely one of the most difficult problems in AI research.«

Audio and Media Technologies

Birgit Brüggemeier, Ph.D.
© Fraunhofer IIS/Paul Pulkert
Project manager Birgit Brüggemeier is researching intelligent human-machine interaction using voice. Together with other AI experts, she is developing future voice interfaces.

Voice assistants such as Alexa, Siri and the like are becoming more and more popular, but the systems struggle when it comes to understanding complex contents and context or deriving semantic meaning. Birgit Brüggemeier knows what the problem is: »The machine lacks common sense.« Together with her project team, she is working on the European version of a voice assistant, looking at how these error messages can be communicated to the user without them getting annoyed and ending their interaction with the voice assistant.

Read more

Paradigm shift in applied research

Cognitive Sensor Technologies / 12.9.2019

Multipath problem
© Fraunhofer IIS/Franziska Köhler, Paul Pulkert
Ordinary algorithms struggle to cope with this so-called “multipath problem.” However, machine learning has opened up a new way of solving such conundrums.

Fraunhofer solutions for customers will look different in the future: where conventional programming has tended to reach its limits, the institute is investigating new AI approaches. Read here how AI is elevating research at Fraunhofer IIS to a new plane.

Near-sensor AI: Generating sensor data of outstanding quality

Cognitive Sensor Technologies / Development Center X-ray Technology EZRT / 19.6.2019

Dr. Norman Uhlmann, deputy divisional director at Fraunhofer EZRT
© Fraunhofer IIS / Paul Pulkert

The use of artificial intelligence (AI) is playing an increasingly important role in research. Dr. Norman Uhlmann, Deputy Division Director at Fraunhofer EZRT, discusses the prospect of using AI at a level close to sensors.

“We’re determined to be in on the act”

Cognitive Sensor Technologies / 16.5.2019

Prof. Albert Heuberger, Dr. Bernhard Grill, directors of Fraunhofer IIS
© Fraunhofer IIS/Peter Roggenthin
Prof. Albert Heuberger and Dr. Bernhard Grill want to advance AI technologies at Fraunhofer IIS in such a way that they benefit industry and users.

In this interview, Prof. Albert Heuberger and Dr.  Bernhard Grill explain why the time is ripe for artificial intelligence and how AI can make technological developments for customers even more beneficial.

Contact

Your questions and suggestions are always welcome!

Please do not hesitate to email us.

Stay connected

The newsletter

Sign up for the the Fraunhofer IIS Magazine newsletter and get the hotlist topics in one email.

Home page

Back to home page of Fraunhofer IIS Magazine