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Курс от University of Michigan
courseraИнженерия
AI for Energy and Biomedical Applications
Курс от University of MichiganО курсе
"AI for Energy and Biomedical Applications” explores the groundbreaking applications of AI technologies revolutionizing energy systems and advancing healthcare solutions. In the energy sector, AI is reshaping how we generate, distribute, and manage energy resources. From optimizing renewable energy production to enhancing energy efficiency and grid management, AI offers unprecedented opportunities for sustainability and resilience. Through this course, you will explore AI-driven techniques such as predictive maintenance, demand forecasting, and energy storage optimization, empowering you to drive innovation and address pressing energy challenges. In the realm of biomedical applications, AI is driving breakthroughs in disease diagnosis, drug discovery, and personalized medicine. You’ll delve into AI-driven approaches to medical image analysis, genomic data interpretation, and predictive modeling of disease progression. You’ll also gain insights into how AI is revolutionizing healthcare delivery, enabling early detection of diseases, and facilitating precision medicine tailored to individual patients.
Навыки, которые вы освоите
Artificial IntelligenceDrug DevelopmentMedical ImagingEnergy and UtilitiesAnomaly DetectionApplied Machine LearningImage AnalysisPatient-centered CarePrecision MedicineMachine Learning AlgorithmsElectric Power SystemsSustainable TechnologiesBioinformaticsMachine Learning MethodsBiomedical EngineeringGenerative AIPredictive Modeling
Программа курса
3 модулей · 22 учебных материалов
01AI in Energy Systems9 материалов
AI for Optimizing Energy Generation and Distribution
AI for Energy Generation and Distribution ВидеоCourse SyllabusЧтениеHelp Us Learn About You!ЧтениеIntroduction to Jupyter Labs on CourseraЧтениеУчитесь у экспертов
Wei Lu
Charles M Vest Collegiate Professor of Engineering and Associate Chair of Mechanical Engineering