The evolving workplace continues to challenge long-held beliefs. Here’s 5 predictions on how companies will compete for ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...
AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...
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