The CEE-AI center is a hub for research and industry interested in working with and on Artificial Intelligence technology and strategy for addressing current and upcoming challenges in our society and the use of technology. Existing partners, associated partners, and interested partners are invited to put their projects into the CEE-AI context.
Intensive care patients with acute respiratory failure usually need support of lung function, which is accomplished with mechanical ventilation and, in most severe cases, extracorporeal gas-exchange. Although mechanical ventilation is a life-saving therapy, it has the potential to worsen lung injury and impair the haemodynamics.
Currently, there are different strategies to protect the lungs from injury by the ventilator. Yet, settings may differ substantially regarding to the mechanical energy transferred to lungs, and its distribution across the parenchyma. Variables at the ventilator and extracorporeal lung support device can be set automatically using optimization functions and clinical recommendations, but the handling of experts may still deviate from those settings depending upon clinical characteristics of individual patients. Artificial intelligence can be used to learn from those deviations as well as the patient’s condition in an attempt to improve the combination of settings and accomplish lung support with reduced risk of damage.
The project proposed herein aims at developing a hybrid mechanical ventilator/extracorporeal lung support device, where elements communicate wireless, using artificial intelligence-based algorithms to improve the care of invasively mechanically ventilated patients with acute respiratory failure.
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Nutzung von KI für die Verbesserung der Beatmung von COVID-19-Patienten
Voice assistants are a core technology for human-machine communication and provide natural-language access to products and services. The market for voice assistant solutions has so far been dominated by U.S. and Asian companies. The demand for voice assistant solutions in German industry and business is enormous; particularly with regard to data sovereignty, there is a need to better protect personal data and exchange it securely. A German voice assistant solution makes this possible by implementing European data security standards. At the same time, it enables a new level of quality in human-machine communication that goes far beyond the semantic capabilities of current systems, making it significantly more user-friendly.
Eine Sprachassistenz- plattform »Made in Germany«
KEEN connects users, manufacturers, and research institutions to bring AI into use in the process industry much faster than is currently the case. To this end, KEEN plans to establish AI incubator labs that offer “Artificial Intelligence Made Tangible” across five pillars:
Künstliche-Intelligenz-Inkubator-Labore in der Prozessindustrie
AI4Mobile develops AI methods that incorporate mobile communications expertise to meet the requirements of mobile networks. AI is becoming an integral part of existing and future mobile network architectures.
The focus is on future mobility applications such as autonomous connected driving and mobile robotics in highly dynamic production environments. A key element is the provision of end-to-end prediction of critical quality-of-service parameters (e.g., data rate, latency), as well as proactive resource optimization and networking based on these predictions across all parts of the mobile network infrastructure.
“KI gestützte Methoden für zuverlässige Prädiktion und resourcenschonende Echtzeit-Netzoptimierung”
The goal of KI-Mobil is to develop an AI-powered software platform for disruptive, resource-efficient, and high-performance mobility concepts that intelligently combine private and public transportation, as well as freight transport—including the transmission of communications and energy—for autonomous transportation concepts. The resulting ecosystem is designed to enable users to ensure comfort and safety for travelers, shorten travel times, reduce environmental impact, and easily integrate new developments in the field of mobility.
“KI gestützte Softwareplattform für disruptive, resourcenschonende und performante Mobilitätskonzepte”
