Coronavirus | The Guardian BA.2.86, nicknamed Pirola, causing concern among scientists because of fear it could be more transmissibleThe latest Covid-19 variant, BA.2.86, appears to be spreading in the UK, health surveillance data suggests.The variant, nicknamed Pirola, has prompted concern among scientists because of the high number of mutations it carries, which raises the possibility […]Continue reading

Coronavirus | The Guardian CDC said that scientists discovered a new coronavirus variant, BA 2.86, and that higher-risk individuals should be cautiousAs authorities revealed that a new Covid-19 variant has been detected in the US, medical experts are emphasizing that high-risk persons resume masking to prevent potentially deadly infection. Warnings from these physicians come amid […]Continue reading

MIT News – Artificial intelligence Imagine that a team of scientists has developed a machine-learning model that can predict whether a patient has cancer from lung scan images. They want to share this model with hospitals around the world so clinicians can start using it in diagnosis. But there’s a problem. To teach their model […]Continue reading

AWS Machine Learning Blog For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. One of the main challenges can be deploying a well-performing, locally trained model to the cloud for inference and use in other applications. It can be cumbersome to manage the process, but […]Continue reading

MIT News – Artificial intelligence To study ocean currents, scientists release GPS-tagged buoys in the ocean and record their velocities to reconstruct the currents that transport them. These buoy data are also used to identify “divergences,” which are areas where water rises up from below the surface or sinks beneath it. By accurately predicting currents […]Continue reading

AWS Machine Learning Blog Jupyter notebooks are highly favored by data scientists for their ability to interactively process data, build ML models, and test these models by making inferences on data. However, there are scenarios in which data scientists may prefer to transition from interactive development on notebooks to batch jobs. Examples of such use […]Continue reading

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