The start of the innovation project “UNISONO: Sensor system for AI-driven clinical phenotyping with voice biomarkers for heart failure” was announced today by Zana Technologies GmbH, a German-based provider of Conversation and Voice AI technology for healthcare, together with Cosinuss° GmbH, a certified medical technology company specialized in mobile real-time measurement of vital parameters, and the Comprehensive Heart Failure Center (CHFC) at the University Hospital Würzburg.
The "Anton Fink Science Prize for Artificial Intelligence (AI)", which was awarded for the first time this year by the Deggendorf Institute of Technology (DIT), will go into the second round in 2023. Individuals, start-ups, universities, research institutes, foundations or even companies can win. The prerequisites are ground-breaking achievements in the research, development or practical applications of artificial intelligence. 10,000 euros will be awarded as the main prize, as well as the young talent award for final theses with 1,000 euros.
Enabling local higher education for young people in poverty-stricken areas, social hotspots and crisis zones - that is the aim of the Catholic University of Eichstätt-Ingolstadt (KU) in cooperation with Jesuit Worldwide Learning - Higher Education at the Margins (JWL). To do this worldwide, it uses innovative digital teaching and learning formats. “With our service we can reach countries and regions in which there is hardly any basis for training future teacher. Our students will themselves become multipliers of education in their environment, who in turn will be able to competently coach other people through their learning journeys,” says KU President Prof. Dr. Gabriele Gien.
Artificial intelligence (AI) has created new possibilities for designing tailor-made proteins to solve everything from medical to ecological problems. A research team at the University of Bayreuth led by Prof. Dr. Birte Höcker has now successfully applied a computer-based natural language processing model to protein research. Completely independently, the ProtGPT2 model designs new proteins that are capable of stable folding and could take over defined functions in larger molecular contexts. The model and its potential are detailed scientifically in "Nature Communications".
Munich, Germany – In many industrial sectors, such as in the automotive industry, in aerospace or in the energy sector, the demand for special metal components that are light and have a high strength is increasing. Modern gas turbines, for example, require extremely stable and at the same time lightweight heat shields. An important manufacturing process for this is the powder-bed fusion process of metals using laser beam (PBF-LB/M). Depending on the application, the process is not yet always competitive compared with conventional production in terms of unit costs.
Freight and goods traffic has increased to a degree that it now makes up nearly 30 percent of all the traffic in German cities. “The coronavirus pandemic has reinforced and accelerated this trend, as online trade and with it deliveries have boomed,” says Prof. Dr. Pirmin Fontaine. He holds the junior professorship for Operations Management at the Catholic University of Eichstätt-ingolstadt (KU) and is currently looking into the potential of cargo bikes for city deliveries.
Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.
In old age, the performance of the immune system decreases, and older people are more susceptible to infections. Research teams from Würzburg and Freiburg have now discovered an approach that could be used to slow down this process.
Simulating complex scientific models on the computer or processing large volumes of data such as editing video material takes considerable computing power and time. Researchers from the Chair of Laser Physics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and a team from the University of Rochester in New York have demonstrated how the speed of fundamental computing operations could be increased in future to up to a million times faster using laser pulses. Their findings have now been published in the journal Nature.
There are many different types of arthritis, and diagnosing the exact type of inflammatory disease that is affecting a patient’s joints is not always easy. In an interdisciplinary research project conducted at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, computer scientists and physicians have now succeeded in teaching an artificial neural network to differentiate between rheumatoid arthritis, psoriatic arthritis and healthy joints.
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