How can parameters be adjusted quickly to optimize the model after determining which algorithm to use? Although default parameter settings are available in most commercial software, just as the ...

Time-lapse imaging and deep-learning algorithms are promising tools to assess the most viable embryos and improve embryo selection in IVF laboratories. Here, we developed and validated a deep learning ...

Emergent biases can still emerge even when we have trained the machine-learning algorithms with a cleansed data set with no known biases. The AI bias problem is often treated as a data problem, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...