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sensor technology distributed in the FMD are being brought together and expanded by know-how in the area of signal processing in order to be able to offer industrial customers innovative system solutions. During the one-year project period, various demonstrators will be developed that address the fu- ture fields of high-frequency electron- ics, terahertz photonics and wireless, high-bit-rate communication. Dr. Dirk Nüßler, project leader and deputy director of Fraunhofer FHR, explains, “The overall project goals are to establish a German value chain to terahertz wireless links, e.g. for high-bit-rate communication in indus- trial production, inline monitoring of production processes with AI-based, real-time imaging processing for re- source-efficient production, and first- of-its-kind industrial-grade terahertz communication and sensor technology by combining scalable electronic and photonic concepts.” To achieve these project goals, the project is organized along three par- allel development strands that are interconnected at key points. “For the development strands terahertz photonics, terahertz line scan camera and terahertz communication, various demonstrators can be realized within the comparatively short project dura- tion of 12 months, which go far beyond the current state of the art,” explains Prof. Björn Globisch, Group Leader at Fraunhofer HHI and Professor for Tera- hertz Sensor Technology at TU Berlin. Dr. Andreas Grimm, Technology Park Manager for Compound Semiconductors at FMD concludes: “The existing collaboration within FMD has been the basis for the project development, so we are delighted that the BMBF funding will give us the opportunity for the first time to leverage the syr nergies of terahertz technology and make an offer to industry for various applications.” Fraunhofer IPMS in the T-KOS project: RF front-end solutions and efficient AI accelerators In the project, Fraunhofe IPMS is dedicated to RF/millimeter-wave www.ameft.com AMEFT 3 2021 71 In our digitalized, high-tech world of life and work, the availability of communications and data connections is a basic requirement. front-end solutions with high TECHNOLOGY & SUSTAINABILITY hand, energy-efficient AI accelerators based on in-memory computing are designed in technology nodes such as28nmHKMGaswellas22nm FDSOI. In T-KOS, building on already developed transceiver systems at 240 GHz and 480 GHz in SiGeBiCMOS technology, a solution for near 300 GHz with increased transmit power dynamics is being developed in the front-end area. Furthermore, an FPGA implementation is being developed as a precursor to an in-memory computing ASIC core to establish an optimal bitwise Asia Middle East Food Trade, 130 x 180mm, CC-en46-AZ434 03/21 output power in the frequency computing architecture for radar range of 60-500 GHz. On the other data classification requirements. AMEFT 3 2021 71