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Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...
12d
Tech Xplore on MSNNew algorithm enables efficient machine learning with symmetric data structures
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
What if plastics could heal, sense stress, or last longer? A ML method finds hidden molecules that may change how we design ...
Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...
When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.
This study examined whether machine learning could predict the risk and contributing factors of no-shows and late ...
Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...
In the global trend of vigorously developing hydrogen energy, proton-conducting solid oxide electrolysis cells (P-SOECs) have ...
19d
AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...
Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered Machine Learning.
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