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 ...
These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...
Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...
Lemonade uses AI and machine learning to build a better, cheaper insurance model. Its loss ratio has come down significantly.
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurately predicting chemical reactions is essential for driving innovation in ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
The human microbiome is increasingly recognized as a key mediator of health and disease, yet translating microbial associations into actionable interventions remains challenging. This review ...
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