Artificial Intelligence

  • Artificial Agent Designs Quantum Experiments

    The artificial agent uses optical elements such as this beam splitter to construct new and optimized experiments. Harald Ritsch

    On the way to an intelligent laboratory, physicists from Innsbruck and Vienna present an artificial agent that autonomously designs quantum experiments. In initial experiments, the system has independently (re)discovered experimental techniques that are nowadays standard in modern quantum optical laboratories. This shows how machines could play a more creative role in research in the future.

  • Artificial Intelligence Helps in the Discovery of New Materials

    The matrix depicts the formation energy – an indicator of stability – of around two million possible compounds. (Image: University of Basel, Department of Chemistry)

    With the help of artificial intelligence, chemists from the University of Basel in Switzerland have computed the characteristics of about two million crystals made up of four chemical elements. The researchers were able to identify 90 previously unknown thermodynamically stable crystals that can be regarded as new materials. They report on their findings in the scientific journal Physical Review Letters.

  • Artificial Intelligence: An Expert in Every Burner

    Inspection of a Siemens H Class turbine. Artificial intelligence has contributed significantly to reducing the turbine's emission of nitrogen oxides and other gasses.

    Thanks to neural network-based artificial intelligence (AI) developed by Siemens Corporate Technology (CT), the combustion processes in the company’s flagship gas turbine are being steadily optimized. The processes learn how to continuously adjust fuel valves, resulting in optimized combustion and reduced emissions and wear. Siemens’ Power Generation Services Division is now using the jointly developed technology for the first time in a customer application for the largest and most modern stationary Siemens gas turbine. Given the large number of such complex systems run by Siemens customers whose operations could be improved by AI, the potential for improved efficiency is enormous.

  • Cutting edge research for the industries of tomorrow – DFKI and NICT expand cooperation

    Prof. Wolfgang Wahlster DFKI CEO and Taihei Kurose, Acting President NICT. DFKI

    The German Research Center for Artificial Intelligence (DFKI) and the Japanese National Institute of Information and Communications Technology (NICT) have agreed to work closer in researching the modern information and communication technologies. At Cebit 2017 in Hannover, the two research institutes issued a joint Letter of Intent. The focus of the future joint collaboration involves advanced and expanded development of the technologies of the "Internet of Things" and Artificial Intelligence. This agreement covers expanded scientific exchange and joint research projects. One of the first research priorities is on the design of flexible, wireless communication in a manufacturing environment for Industrie 4.0. The cooperation is expected to promote additional research approaches of mutual interest.

  • Deep Inside the Brain: Unraveling the Dense Networks in the Cerebral Cortex

    Small fraction of dendrites (gray) and synapses (orange) in a piece of mouse cortex, reconstructed from 3D electron microscopy data. Motta, Wissler (c) MPI for Brain Research

    Mammalian brains, with their unmatched number of nerve cells and density of communication, are the most complex networks known. While methods to analyze neuronal networks sparsely have been available for decades, the dense mapping of neuronal circuits is a major scientific challenge. Researchers from the MPI for Brain Research have now succeeded in the dense connectomic mapping of brain tissue from the cerebral cortex, and quantify the possible imprint of learning in the circuit.

  • DFKI and Hitachi jointly develop AI technology for human activity recognition of workers

    Workflow of human activity recognition. Hitachi

    ...using wearable devices. With view to utilizing AI to assist operations and prevent human error in manufacturing. Germany and Japan, March 8, 2017 - Deutsches Forschungszentrum für Künstliche Intelligenz (German Research Center for Artificial Intelligence, “DFKI“) and Hitachi, Ltd. (Hitachi) today announced the joint development of AI (artificial intelligence) technology for human activity recongnition of workers using wearable devices. The AI technology performs real-time recognition of workers’ activities by integrating technology in eye-tracking glasses (1) to recognize gazed objects with technology in armband devices to recognize action. The recognition ability of each activity is achieved by having the AI understand the tools or parts used at the production site as well as anticipated actions through Deep Learning (2). DFKI and Hitachi will use this newly developed AI technology to assist operations and prevent human error, to contribute to enhancing quality and efficiency on the front line of manufacturing.

  • Information integration and artificial intelligence for better diagnosis and therapy decisions

    Artificial Intelligence. Source: Pixabay

    Research alliance between Fraunhofer MEVIS and Siemens Healthineers develops decision support systems for physicians based on deep machine learning.

    With their joint research alliance, Siemens Healthineers and the Fraunhofer Institute for Medical Image Computing MEVIS will support physicians in finding the right course of therapy for their patients. Both partners are jointly developing artificial intelligence software systems to facilitate diagnosis and therapy decisions with the help of advanced data integration, comprehensive databases, and automatic recognition of patterns and regularities in data (deep machine learning).

  • Innovative safety concept adds flexibility to modular production

    The Industrie 4.0 demo production plant of the SmartFactoryKL consortium uses a dynamic safety concept. The result: The ability to parameterize individual production cells in emergency stops. SmartFactoryKL/C.Arnoldi

    • Industrie 4.0 demo plant of SmartFactoryKL consortium expanded with an industrial Ethernet-based communications protocol.

    • Modular certification reduces the cost of system modification.

    • At the Hannover Messe from April 24 to 28, 2017: Hall 8, Booth D 20.

  • Machine Learning Makes Proteomics Research More Effective

    The authors Mathias Wilhelm, Tobias Schmidt and Siegfried Gessulat. Image: A. Eckert / TUM

    Using artificial intelligence, researchers at the Technical University of Munich (TUM) have succeeded in making the mass analysis of proteins from any organism significantly faster than before and almost error-free. This new approach is set to provoke a considerable change in the field of proteomics, as it can be applied in both basic and clinical research.

  • Saarland University computer scientists work to prevent hackers from remotely controlling cars

    Saarland scientists explain the dangerous situation: The growing interconnection of the individual components opens security holes.

    A luxury vehicle today contains multiple computers. During an hour's drive, it thus produces multiple gigabytes of data. Even less expensive vehicles are now brimming with information technology. The growing interconnection of the individual components opens dangerous security holes. One of these has now been closed by computer scientists at the Center for IT Security and Privacy (CISPA) and the German Research Center for Artificial Intelligence (DFKI) — with the help of software that manufacturers can retrofit into any car.

  • Successfully transferring Industrie 4.0 into reality

    The future of production: integrating the human through scalable  automation, control and communication through cyber-physical systems  as well as standardized interfaces. SmartFactoryKL

    "With their joint booth at SPS IPC Drives in Nuremberg (Germany), Europe's leading expert trade fair for electric automation, the Technology Initiative SmartFactory KL e.V. and the German Research Center for Artificial Intelligence (DFKI) will present a spectrum of their competences in the domain of Industrie 4.0 (hall 10, stand 540) from November 22 to 24, 2016. The exhibited demonstrators will show how the transfer of the Industrie 4.0 paradgim into industrial applications can succeed."

    • SmartFactoryKL and DFKI will exhibit at SPS IPC Drives
    • Agile factory systems and human-machine-interaction are main topics

  • TACNET 4.0 - German Industry Consortium Develops System for Real Time Industrial Networks

    © oporkka/

    14 German companies and organizations have combined forces in TACNET 4.0 - Tactile Internet, a project to create a standard system for real time industrial communications. The so called "tactile internet," based on 5G wireless technology, is being further developed with the support of the Federal Ministry of Education and Research (BMBF) in this project for the digitalization of production and robotics. Focusing on the needs of the market, the project serves as a basis for a wide range of industrial applications. The project is coordinated by the German Research Center for Artificial Intelligence (DFKI), together with Nokia Bell Labs.

  • Tough Nuts, Cracked in a Smart Way

    Additive Manufacturing enables minuscule metal structures with a complex geometry to be produced. Here is a test piece compared with a match head. Using AI to monitor the manufacturing process acoustically guarantees that the workpiece is devoid of any interior defects. Image: Empa

    Welding, printing, crushing concrete – an Empa team monitors noisy processes with the help of artificial intelligence. This way you can literally hear production errors and imminent accidents. Kilian Wasmer from the Empa lab for Advanced Materials Processing in Thun keeps shaking his head while speaking, as if he can’t believe the success story himself.