The Transparency Principles emphasize the effective communication of relevant information about a MLMD to users, such as the intended use(s), device development, device performance, and method for ...
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With machine learning, researchers embrace the atomic-scale complexity of batteries
For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...
An integrated framework combining first-principles calculations and machine learning was developed to predict gas-sensing performance. Key descriptors such as adsorption energy, adsorption distance, ...
Generative AI (GenAI) services like ChatGPT and Google Gemini vividly illustrate how artificial intelligence (AI) technology can derive value from volumes of data that are too vast for humans to ...
Machine learning has transformed the way novel materials are discovered and engineered, shifting the field from trial-and-error experimentation towards data-driven ...
Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
An integrated framework combining first-principles calculations and machine learning was developed to predict gas-sensing performance. Key descriptors such as adsorption energy, adsorption distance, ...
Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online ...
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