6G mobile communications is expected to pave the way for innovative applications such as Artificial Intelligence, Virtual Reality and Internet of Things in everyday life from 2030. This will require a much higher performance capability than that of the current 5G mobile standard, involving new hardware solutions. At EuMW 2022, Fraunhofer IAF will therefore present an energy-efficient GaN-based transmitter module for the 6G-relevant frequency ranges above 70 GHz, which was developed jointly with Fraunhofer HHI. The high performance of the…
New production technology opens the way to quantum light sources with fiber optic compatibility. Across the world, specialists are working on implementing quantum information technologies. One important path involves light: Looking ahead, single light packages, also known as light quanta or photons, could transmit data that is both coded and effectively tap proof. To this end, new photon sources are required that emit single light quanta in a controlled fashion – and on demand. Only recently has it been discovered…
… regarding next-generation brain-mimicking computing. KIST discovered critical variables to maximize the performance of artificial synaptic devices. Green light for next-generation neuromorphic system development. Neuromorphic computing system technology mimicking the human brain has emerged and overcome the limitation of excessive power consumption regarding the existing von Neumann computing method. A high-performance, analog artificial synapse device, capable of expressing various synapse connection strengths, is required to implement a semiconductor device that uses a brain information transmission method. This method uses signals…
UC Santa Barbara researchers create a device to streamline interactions between ultra-cold and room-temperature computers. Many state-of-the-art technologies work at incredibly low temperatures. Superconducting microprocessors and quantum computers promise to revolutionize computation, but scientists need to keep them just above absolute zero (-459.67° Fahrenheit) to protect their delicate states. Still, ultra-cold components have to interface with room temperature systems, providing both a challenge and an opportunity for engineers. An international team of scientists, led by UC Santa Barbara’s Paolo Pintus, has…
Isotope-controlled silicon carbide for solid-state quantum devices. Fraunhofer IISB develops solid-state quantum electronics based on silicon carbide (SiC). The basis are SiC layers with precisely defined isotope concentrations epitaxially grown on SiC wafers. Defined point defects (color centers) generated in isotope-controlled SiC enable a variety of quantum devices. SiC-based solid-state devices offer enormous potential for the broad introduction of quantum technologies. At Fraunhofer IISB, a research group is developing optimized base materials and process technologies for solid-state quantum electronics using…
Early warning system for environmental changes. How can a vulture in a Berlin Zoo help its conspecifics and their habitats in Namibia? As a model and patron for a new generation of animal tags: The prototype of an innovative animal tag system developed by the Leibniz-IZW and the Fraunhofer IIS completed its maiden flight on a vulture at Tierpark Berlin today. The tags will be equipped with sensor-based artificial intelligence (AI), a camera, energy-efficient electronics and satellite-based communication technology. This…
A machine learning model can evaluate the effectiveness of different management strategies. Wildfires are a growing threat in a world shaped by climate change. Now, researchers at Aalto University have developed a neural network model that can accurately predict the occurrence of fires in peatlands. They used the new model to assess the effect of different strategies for managing fire risk and identified a suite of interventions that would reduce fire incidence by 50-76%. The study focused on the Central…
All magnets—from the simple souvenirs hanging on your refrigerator to the discs that give your computer memory to the powerful versions used in research labs— contain spinning quasiparticles called magnons. The direction one magnon spins can influence that of its neighbor, which affects the spin of its neighbor, and so on, yielding what are known as spin waves. Information can potentially be transmitted via spin waves more efficiently than with electricity, and magnons can serve as “quantum interconnects” that “glue”…
Qubits are the building blocks of quantum computers, which have the potential to revolutionize many fields of research by solving problems that classical computers can’t. But creating qubits that have the perfect quality necessary for quantum computing can be challenging. Researchers at the University of Wisconsin–Madison, HRL Laboratories LLC, and University of New South Wales (UNSW) collaborated on a project to better control silicon quantum dot qubits, allowing for higher-quality fabrication and use in wider applications. All three institutions are…
Researchers have discovered a new method for correcting errors in the calculations of quantum computers, potentially clearing a major obstacle to a powerful new realm of computing. In conventional computers, fixing errors is a well-developed field. Every cellphone requires checks and fixes to send and receive data over messy airwaves. Quantum computers offer enormous potential to solve certain complex problems that are impossible for conventional computers, but this power depends on harnessing extremely fleeting behaviors of subatomic particles. These computing…
Technische Universität Ilmenau (Germany) is using Artificial Intelligence to improve the detection and classification of unidentified phenomena in the night sky. The research team of the Group for data-intensive Systems and Visualization collaborated with the American Meteor Society which initiated the AllSky7, an international network of scientists and amateur astronomers that permanently observes the night sky with specially designed cameras and classifies and assigns all events. The work of the team of scientists is part of the TU Ilmenau‘s theme…
Device speeds up, simplifies image processing for autonomous vehicles and other applications. As any driver knows, accidents can happen in the blink of an eye — so when it comes to the camera system in autonomous vehicles, processing time is critical. The time that it takes for the system to snap an image and deliver the data to the microprocessor for image processing could mean the difference between avoiding an obstacle or getting into a major accident. In-sensor image processing,…
Improved computer models are needed to build larger wind turbines and to manage wind farms more efficiently. A new research project led by wind physicist Laura Lukassen paves the way for faster innovation – with the help of Artificial Intelligence. Numerical simulation calculations are a crucial tool for planning and operating wind turbines, which are continually growing in size. A new collaborative project led by Prof. Dr. Laura Lukassen, a wind physicist at the University of Oldenburg, aims to improve…
AI-based federated diagnostic algorithm efficiently learns across hospitals with data protection compliance. An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is “self-learning”, i.e. it does not require extensive, time-consuming findings or markings by radiologists in the MRI images. This federated algorithm was…
… paves the way to cost-effective satellite-based quantum networks. Researchers demonstrate successful quantum key distribution between space lab and four ground stations. Researchers report an experimental demonstration of a space-to-ground quantum key distribution (QKD) network using a compact QKD terminal aboard the Chinese Space Lab Tiangong-2 and four ground stations. The new QKD system is less than half the weight of the system the researchers developed for the Micius satellite, which was used to perform the world’s first quantum-encrypted virtual…
… at a small fraction of the energy and size of today’s compute platforms. The NeuRRAM chip is the first compute-in-memory chip to demonstrate a wide range of AI applications at a fraction of the energy consumed by other platforms while maintaining equivalent accuracy. An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications–all at a fraction of the energy consumed by computing platforms…
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