The Christian Doppler Laboratory for Technology-Guided Electronic Component Design and Characterization investigates ways to better control electromagnetic interactions in smart networked devices, especially in the 5G frequency range. In smartphones and many other complex, wirelessly networked devices, sophisticated technologies are used to integrate the individual electronic components into the housing. While active components, such as semiconductors, are already well investigated, passive electronic elements such as antennas or filters are lagging behind. This is not only the case for the components…
Prototype tech shrinks AI to deliver brain-like functionality in one powerful device. Researchers have developed artificial intelligence technology that brings together imaging, processing, machine learning and memory in one electronic chip, powered by light. The prototype shrinks artificial intelligence technology by imitating the way that the human brain processes visual information. The nanoscale advance combines the core software needed to drive artificial intelligence with image-capturing hardware in a single electronic device. With further development, the light-driven prototype could enable smarter…
Deep learning, also called machine learning, reproduces data to model problem scenarios and offer solutions. However, some problems in physics are unknown or cannot be represented in detail mathematically on a computer. Researchers at the University of Illinois Urbana-Champaign developed a new method that brings physics into the machine learning process to make better predictions. The researchers used turbulence to test their method. “We don’t know how to mathematically write down all of turbulence in a useful way. There are…
Specialized reflective panels located on top of buildings and deployed widely across a city could significantly improve network coverage, shows a KAUST modeling study. Next-generation cellular networks (5G and beyond) will provide communication coverage to wider rural areas, while improving data exchange rates to meet rapidly rising demand. In urban areas in particular, obstacles in the form of buildings and other structures can impede wireless communication links, reducing mobile device signals and slowing data exchange. Research has shown that reconfigurable…
Rice, MD Anderson team models complex that immune system uses to recognize viruses. “Position 4” didn’t seem important until researchers took a long look at a particular peptide. That part of the peptide drawn from a SARS-CoV virus turned out to have an unexpected but significant influence on how it stably binds with a receptor central to the immune system’s ability to attack diseased cells. In a study published by the Proceedings of the National Academy of Sciences, researchers at…
In order for robots to be able to achieve more than simple automated machines in the future, they must not only have their own “brain”. Empa researchers postulate that artificial intelligence must be expanded to include the capabilities of a Physical Artificial Intelligence, PAI. This will redefine the field of robotics and the relationship between man and machine. Artificial intelligence is supposed to make machines perform at ever more amazing levels. A robot that can do little more than a…
Researchers have developed a tiny device that paves the way for higher performance quantum computers and quantum communications, making them significantly faster than the current state-of-the-art. Bristol researchers have developed a tiny device that paves the way for higher performance quantum computers and quantum communications, making them significantly faster than the current state-of-the-art. Researchers from the University of Bristol’s Quantum Engineering Technology Labs (QET Labs) and Université Côte d’Azur have made a new miniaturized light detector to measure quantum features…
EPFL engineers have developed a computer chip that combines two functions – logic operations and data storage – into a single architecture, paving the way to more efficient devices. It’s a major breakthrough in the field of electronics. Engineers at EPFL’s Laboratory of Nanoscale Electronics and Structures (LANES) have developed a next-generation circuit that allows for smaller, faster and more energy-efficient devices – which would have major benefits for artificial-intelligence systems. Their revolutionary technology is the first to use a…
Researchers at the University of Rochester and Cornell University have taken an important step toward developing a communications network that exchanges information across long distances by using photons, mass-less measures of light that are key elements of quantum computing and quantum communications systems. The research team has designed a nanoscale node made out of magnetic and semiconducting materials that could interact with other nodes, using laser light to emit and accept photons. The development of such a quantum network–designed to…
Intelligent cameras are the next milestone in image and video processing. A team of researchers at the Chair of Multimedia Communications and Signal Processing at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has developed an intelligent camera that achieves not only high spatial and temporal but also spectral resolution. The camera has a wide range of applications that can improve environmental protection and resource conservation measures as well as autonomous driving or modern agriculture. The findings of the research have been publishedas an open…
The goal of the TreeSatAI project is the development of artificial intelligence methods for the monitoring of forests and tree populations at local, regional and global level. The project is funded by the German Federal Ministry of Education and Research (BMBF). Using freely accessible geodata from different sources (remote sensing data, administrative information, social media, mobile apps, monitoring libraries, open image databases) prototypes for deep learning based extraction and classification of tree and stand features for four different use cases…
The process of developing new generations of commercial vehicles and heavy equipment is complex. The hardware-in-the-loop technique gives researchers at Fraunhofer-Gesellschaft the opportunity to reproduce and virtually test machines in a software simulation, making machine development faster and more affordable. This technology also enables the testing of malfunctions and critical borderline situations without endangering people or the machine. Heavy equipment is a familiar sight on streets in every city: It is used to excavate earth for subway tunnels, level roads…
Development of innovative technologies for beam steering of communication antennas. With the constant increase in data volumes, wireless communication and mobility lead to ever greater demands on electronic systems. In order to meet these requirements, complex, powerful, hardware-based high-frequency components are required, including with the essential function of beamforming, the spatial control of the antenna directivity to increase the capacity of a communication system or to improve the power efficiency. The EU-funded joint project SMARTWAVE started with a virtual kick-off…
Today around 60% of the world’s population have no access to the Internet. That is why we are intensively looking for solutions to guarantee error-free and smooth data communication with a high bandwidth. Satellite communication networks, the so-called Internet of Space, are ideal for this. With the aim of shifting part of the processing load into the RRAM memory in the sense of an intelligent in-memory computing concept, the joint DFG project starts: “Memristive In-Memory Computing: Radiation hard memory for…
The International Conference on Digital Technologies for Sustainable Crop Production (DigiCrop2020), which is running from November 1-10, 2020 fully online and free of charge, is the new flagship conference of the German Cluster of Excellence “PhenoRob – Robotics and Phenotyping for Sustainable Crop Production” at the University of Bonn. The topic of the innovative conference could not have been any more pressing: Climate change is impacting crop production and at the same time we need to substantially increase the production…
Sandia developed new device to more efficiently process information. The development of a new method to make non-volatile computer memory may have unlocked a problem that has been holding back machine learning and has the potential to revolutionize technologies like voice recognition, image processing and autonomous driving. A team from Sandia National Laboratories, working with collaborators from the University of Michigan, published a paper in the peer-reviewed journal Advanced Materials that details a new method that will imbue computer chips…
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