The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
Airbus's Acubed innovation unit has surveyed more than 100 U.S. airports as part of a massive data collection campaign to advance automation and artificial intelligence in the aviation industry.