machine learning, programming, big data, modeling & simulation, high-performance computing
This FIRE stream will end in 2022.
WHAT WE DO
Key Points:
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Deep Learning & Artificial Intelligence
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Data Processing, Programming & Modeling
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Collaborative, hands-on, project-based learning
Detailed Description:
We focus on research projects in the field of machine learning, deep learning, and artificial intelligence using recently developed techniques, perspectives, and applications for market-relevant areas such as computer vision, natural language processing, and data analytics.
Our past projects include:
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3D Object Detection and Localization for Autonomous Vehicles
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Object Recognition and Tracking for Surveillance Videos
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Extreme Image Compression from Learned Objects
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...
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and please visit our website for a detailed list of our past projects.
WHY IT MATTERS
Key Points:
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Recent growths in big data, computational tools, and state-of-the-art research.
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Machine learning applies to a variety of fields.
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Outcomes can lead to broad impact.
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Great career opportunities.
Detailed Description:
Machine learning is a crucial and sought-after skill with the recent growths in big data.
We work on projects that could lead to broad impact by making use of state-of-the-art research and computational tools.
Machine learning applies to a variety of automated tasks, such as:
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Self-Driving Cars
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Face Recognition
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Malware Detection
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Content Recommendations
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and many more...
WHAT YOU LEARN
Key Points:
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Analyze state-of-the-art techniques and open-source repositories.
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Utilize and evaluate machine learning models using deep learning frameworks.
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Collaborate to design, implement, and apply a machine learning model for real-world usage.
Detailed Description:
Analyze state-of-the-art techniques from recent scholarly papers and open-source repositories.
Perform data preprocessing, training, optimization, and evaluation of machine learning models using deep learning frameworks (such as Keras, Tensorflow, and PyTorch).
Collaborate in a teamwork environment to design, implement, and apply machine learning models for real-world usage.
