FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

The era of double-digit resident rate increases is coming to an end, and senior living operators will have to get more creative to find additional sources of revenue. My view is bolstered by recent ...

23andMe filed for Chapter 11 bankruptcy on Sunday. The company says no changes will be made to how it stores, manages or protects customer data up until the sale of its assets is finalized. 23andMe ...

Whether you’re watching a feature film or a television show, you’ve probably noticed big fluctuations in volume levels, especially when a commercial break pops up and nearly shatters your eardrums.

Your data is only as good as how you interpret it. Fueled by the promise of concrete insights, organizations are increasingly prioritizing data in their decision-making processes. But that process can ...

Large language models have shown improved accuracy in phenotype term normalization tasks when augmented with retrievers that suggest candidate normalizations based on term definitions. In this work, ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

ChatGPT offers Advanced Data Analysis, a powerful tool that helps users crunch data and search for insights. Over the past year, I've had the opportunity to use it to quite good effect. Other AIs are ...

The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi ...

Abstract: High lexico-syntactic variation across radiology reports even when they convey the same diagnostic information complicates evaluation and hence the training of deep learning models for ...