Clinical scientists have explored de-identified electronic health record data in the National COVID Cohort Collaborative(N3C), a National Institutes of Health-funded national clinical database, using...
Machine learning models are trained on massive datasets with hundreds of thousands, if not billions, of parameters. However, how these models translate the input...
Large language models (LMs) provide novel opportunities for interface design. Large language models have undoubtedly advanced to the point where they may be compared...
In the real world, information is generally presented in various formats. Images, for example, are frequently coupled with tags and text explanations; the text...
Nowadays, data is considered a fuel in the data analytics field. The real-time applications require time series data for analysis and future prediction. But...
Clustering is an essential unsupervised learning job in which class labels are not accessible, unlike in the supervised situation of classification. Furthermore, the number...
A worksite injury costs on average $42,000 per event, not considering costs for company interruption, lost productivity, and reputational harm. It is, therefore, vital...
Reinforcement Learning (RL) is a branch of Machine Learning (ML) that studies how intelligent agents should behave in a given situation to maximize a...
While there are several benefits to using Artificial Intelligence, there are also drawbacks to this cutting-edge technology. One example is the creation of inappropriate...
Videos of significant sporting events are high production quality with many replays, close-ups, etc. But, these are limited to the vast TV networks with...
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