DFG SPP 2262
Starting in 2020, the TU Dresden will take over the coordination of the new priority program “Memristive Devices Toward Smart Technical Systems” (SPP 2262) established by the German Research Foundation (DFG). The program, headed by Prof. Dr. Ronald Tetzlaff, Chair of Fundamentals of Electrical Engineering, will receive funding of almost 6 million euros for the time period 2021-2023 to support research projects on memristive systems.
Thank you, Martin Ziegler from @TU_Ilmenau, for your talk "Bio-Inspired Information Pathways" within the #MemrisTec Lecture Series at @ingTUDresden today! https://t.co/RxlUfcVO8JRead More
Register for the last three available seats and dive into the world of Memristors during the 9 days MemrisTec Summer School - From device fundamentals toward smart technical systems!Read More
Thank you, Suhas Kumar, for your talk "Redesigning the full computing stack for next-generation AI training" in the frame of the #MemrisTec Lecture Series today! https://t.co/TbL17IACevRead More
Memristors are nanoelectric devices capable of storage and computation. Their specific properties make it possible to integrate significantly more memory than before in a very small space and to create novel, biologically inspired networks for information processing.
This creates electronic circuits whose performance is significantly greater than that of conventional semiconductor solutions. The highly efficient and faster memory technologies are better able than conventional technologies to meet the challenges of the Internet of Things. Due to their high efficiency and small size, memristors also allow the development of highly sensitive biosensors, which are particularly interesting for medical technology.
Such sensors can be used, for example, to detect cancer cells very sensitively at low concentrations. Moreover, memristors are particularly well suited for imaging the learning behavior of synapses in neuromorphic electronic systems, i.e. the development of artificial brains. That is, in the future, computers may be created that can “think” and “learn” with memristors. In addition, a multitude of other possible applications is conceivable.
Organic Memcapacitors for Large-Area, Neuromorphic Pattern Recognition: Development of an Electronic Trap System
It is only in the last ten years or so that researchers from science and industry have been intensively studying the theory of memristors.
The mission of MemrisTec is to bring together the two groups as well as researchers from other disciplines to explore the scientific basis of the memristor and enable industrial application. The priority program particularly supports projects that focus on a link between theoretical and experimental research.