Recent advancements in machine learning have substantially transformed the optimisation of the steelmaking process. Traditional methods, often limited by complex thermodynamic interactions and ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback