Secure and sovereign: DFKI and partners work on trustworthy open chips for European electronics industry
Security chips are essential for many providers of electronic devices, from small personal devices to automobiles. They should be open, flexibly adaptable and, as far as possible, mathematically proven to be secure. For global value chains with numerous actors, the supply of such cost-efficient components represents a great challenge. Open source processors offer a versatile alternative, as long as their security can be. A joint research project is working on this, dubbed “Hardening the value chain through open source, trustworthy EDA tools and processors (HEP)”, which is funded by the German Federal Ministry of Education and Research (BMBF).
Offen, frei und sicher: Prof. Lüth spricht bei „Wissen um 11“-Reihe über die Computer der nächsten Generation
Navigation mit Köpfchen – Wie Roboter ihre Umgebung erkunden
Für seine Masterarbeit zum Thema „Development of an Optimized GPU-based Implementation of the Elliptic Curve Factorization Method“, die von Prof. Dr. Rolf Drechsler von der Universität Bremen und Prof. Dr. Tim Güneysu von der Ruhr-Universität Bochum betreut wurde, ist Jonas Wloka am 19. Februar 2021 mit dem Fachbereichspreis Mathematik und Informatik der Universität Bremen ausgezeichnet worden. In seiner Arbeit beschäftigte er sich mit der Sicherheit von Verschlüsselungsverfahren. Genauer gesagt, versuchte er herauszufinden, wie schnell man mit heutiger Hardware die Primfaktorzerlegung von Zahlen mit einer bestimmten Größe berechnen kann.
How can chronic obstructive pulmonary diseases (COPD) and comorbidities be better understood? How can people with complex chronic conditions receive the right care at the right time faster? These questions are tackled by the European large-scale project RE-SAMPLE, which officially started on March 1, 2021. The abbreviation stands for “Real-time data monitoring for shared, adaptive, multi-domain and personalised prediction making for long-term pulmonary care ecosystems”, the project is coordinated by the Unviersity of Twente in the Netherlands.
Although deep learning algorithms are righteously handled as one of the key aspects of modern Artificial Intelligence (AI), the conclusions of the methods do not offer a high degree of security. Many areas with potential for AI application bear too many risks to be controlled by systems that are not verifiable. The two Bremen-based research departments of the DFKI are working on a new method for system control, combining the advantages of fast self-learning and reliable verification via symbolical models. The project VeryHuman, funded by the German Federal Ministry of Education and Research (BMBF), runs for four years and aims to prove its innovative method by making a humanoid robot walk.
Encryption software plays an important role on the path to better data protection, but computer systems can also be attacked physically. By intercepting current fluctuations or causing errors via electromagnetic pulses, devices such as smartphones and key cards become vulnerable to attacks. In a project funded by the German Federal Ministry for Education and Research (BMBF), the German Research Center for Artificial Intelligence (DFKI) and several project partners have developed a method in order to protect data from physical attacks - for example by making hardware implementations of current encryption independently dodge attackers.
Neue Perspektiven in der kooperativen Wissenschaft: DFKI beteiligt sich an Online-Diskussion zu Forschungsdaten
Project AUTOASSERT: DFKI scientists develop software tool for the support of German electronics companies
Microelectronics is known as a key technology for many future developments, from autonomous cars to intelligent fridges. Small and medium-sized companies play an important role in the production process – and are now supported by the German Research Center for Artificial Intelligence (DFKI). The DFKI cooperates with COSEDA Technologies in the project AUTOASSERT, in which methods for the early verification of heterogeneous systems are developed in order to save time and costs and thus make German companies more competitive. The project is funded by the German Federal Ministry of Education and Research (BMBF) with roughly 830,000 Euros.
Artificial intelligence and healthcare are two major areas of future growth that are strongly represented in Northern Germany. The project KI-SIGS ("AI space for intelligent healthcare systems), companies, universities and research institutes from Northern Germany are combining their competences in these areas in order to make new potentials for growth available. The project funded by the federal government of Germany with ten million Euros has officially started with a kick-off meeting of the involved partners on 27 May.