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Creating bespoke programming languages for efficient visual AI systems

Associate Professor Jonathan Ragan-Kelley, an MIT-IBM Watson AI Lab and CSAIL researcher, optimizes how computer graphics and images are processed for the hardware of today and tomorrow. Ragan-Kelley specializes in high-performance, domain-specific programming languages and machine learning.

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Developing Custom Languages for Advanced Visual AI Systems

Developing Custom Languages for Advanced Visual AI Systems
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Software-performance-engineering
Department-of-electrical-engineering
Watson-ai-lab
Artificial-intelligence-laboratory
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Electrical-engineering
Computer-science
Rameswar-panda

In machine learning, synthetic data can offer real performance improvements

Machine-learning models trained to classify human actions using synthetic data can outperform models trained using real data in certain situations. This could help scientists identify when it’s better to use synthetic data for training, which could eliminate bias, privacy, security, and copyright issues that often impact real datasets.

Germany
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Artificial-intelligence-laboratory
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A technique to improve both fairness and accuracy in artificial intelligence

A technique to improve both fairness and accuracy in artificial intelligence
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Massachusetts
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A technique to improve both fairness and accuracy in artificial intelligence

A technique to improve both fairness and accuracy in artificial intelligence
mit.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from mit.edu Daily Mail and Mail on Sunday newspapers.

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Massachusetts
United-states
Joshua-ka
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Abhin-shah
Subhro-das
Research-laboratory-of-electronics
Algorithms-laboratory
National-science-foundation
Boston-scientific
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