When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...
A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...
Neuropsychiatric disorders are highly prevalent worldwide, significantly impairing cognition, emotional regulation, and social functioning. However, their diagnosis still largely relies on subjective ...
AI models outperform traditional statistics in predicting post-complete cytoreduction outcomes in ovarian cancer patients. AI's diagnostic accuracy was high for predicting overall survival and no ...
On April 28, 2022, at a highly anticipated concert in Spokane, Washington, the musician Paul McCartney astonished his ...
In our enthusiasm to embrace generative AI for content creation, we often overlook all the other ways we can apply it. Case in point: predictive analytics and forecasting. Forecasting in a ...
Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
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