Posts Tagged: artificial intelligence
New research on materials science datasets shows the amount of training data can be significantly reduced with minimal impact on the performance of the model
The Self-Driving Laboratory for Human Organ Mimicry is one of six self-driving labs launched by the Acceleration Consortium to drive research across a range of fields
Initiative will be run through the Centre for Analytics and Artificial Intelligence Engineering (CARTE) and housed in the department of Mechanical and Industrial Engineering
Joint EMHSeed and XSeed Funding Program to support research on expanding database of metal-organic frameworks for AI analysis
Papernot is cross-appointed to The Edward S. Rogers Sr. Department of Electrical & Computer Engineering and the Department of Computer Science
Professor Nicolas Papernot says the proliferation of AI-generated content could “pollute” the internet, so the data pool no longer reflects reality
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