Michigan Engineering | University of Michigan Most programs in use today have to be completely rewritten at a very low level to reap the benefits of hardware acceleration. This system demonstrates how to make that translation automatic.
Programming around Moore’s Law with automatic code translation
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Big data, small footprint
How changing the rules of computing could lighten Big Data’s impact on the internet.
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Autonomous vehicles can be fooled to ‘see’ nonexistent obstacles
Vehicles that perceive obstacles that aren’t really there could cause traffic accidents.
The post Autonomous vehicles can be fooled to ‘see’ nonexistent obstacles appeared first on Michigan Engineering News.
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Todd Austin Named S. Jack Hu Collegiate Professor of Computer Science and Engineering
Prof. Austin is a creative, outside-the-box thinker who has produced a body of work that has had extraordinary impact in the area of computer architecture.
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Five papers by CSE researchers presented at NSDI
The teams designed systems for faster and more efficient distributed and large-scale computing.
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Real-time monitor tracks the growing use of network filters for censorship
The team says their framework can scalably and semi-automatically monitor the use of filtering technologies for censorship at global scale.
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Emotion recognition has a privacy problem – here’s how to fix it
Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models.
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Generating realistic stock market data for deeper financial research
A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.
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CSE researchers present 9 papers at leading AI conference
The students and faculty submitted projects spanning several key application areas for AI.
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$1M grant to develop U-M high-capacity research network
The team will develop a secure, data-intensive network solution to effectively transport extremely high volumes of research data on and off campus.