Researchers at the University of South Australia are using machine learning for hyperspectral imaging to detect contamination ...
In supply planning, optimization is critical. Optimization, another solution used by supply chain software vendors for over two decades, is now considered a form of AI. Optimization works, it delivers ...
A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
Network automation is becoming a must-have for enterprises as networks get more complex and AI projects multiply. Traditional ...
From bicycles to rockets, learning through experience – whether human or machine – is shaping the future of space exploration ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...
Abstract: The focus of this research is to develop a learning-based method that computes self-motion manifolds (SMMs) efficiently and accurately to enable real-time global fault-tolerant motion ...
Abstract: The application of automated guided vehicle (AGV) greatly improves the production efficiency of workshop. However, machine flexibility and limited logistics equipment increase the complexity ...
“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
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