Turning tabular data into ‘pseudo-notes’ that mirror clinical documentation allows AI models to analyze patient information ...

Researchers from more than 50 international institutions have launched Open Problems, a collaborative open-source platform to ...

The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

A statistical model is autoregressive if it predicts future values based on past values (i.e., predicting future stock prices based on past performance).

A selection of the literature on the statistical description of electromagnetic fields and complex cavities is concisely reviewed. Some essential concepts, for example, the application of the central ...

For example, we recently published a glycosylation reaction developed by using DFT to select a linker 4. We have been surprised by the accuracy of computational models and anticipate many exciting ...

What you’ll study By the end of the course, you will have a solid grasp of the major GLMs used in modern statistical analysis. You will be able to identify when a particular model is appropriate, fit ...

Since the release of their first version in 2018, 1 large language models (LLMs) have improved very quickly, with frequent application in research. 2 They are effective for many complex tasks in the ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

This requires specific education and technical training to create such advanced models (for example, neural networks and machine learning algorithms) — stemming from backgrounds in hard sciences ...

By using these tools, your team can run statistical tests and build models without needing to write complex code. Provide training sessions to ensure everyone is comfortable with these tools.