Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
Queen's University

Neural Networks: When good enough is better than best

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...
Security Boulevard

How synthetic data can help solve AI’s data crisis

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...