Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Python stays far ahead; C strengthens at #2, Java edges past C++, C# is 2025’s winner; Delphi returns, R holds #10.

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...

Whether you’re evaluating AI upskilling platforms or building internal corporate AI training programs, this hierarchy ...

Scientists have just organized an enormous collection of predicted protein shapes into families, using artificial intelligence and a powerful new comparison method. Working from AlphaFold models ...

Abstract: This paper examines the application of Topological Data Analysis (TDA) for trajectory classification, aiming to improve the interpretation of complex spatial movement patterns. By utilizing ...

Abstract: The multisource remote sensing (RS) data have yielded promising results in target detection and classification tasks. However, most existing methods primarily focus on the spatial features ...

Laboratory of Micro-Optoelectronics and Nanostructures (LR99/E929), Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia Alzheimer’s disease (AD) is a progressive ...

Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiclass data sets and large-scale studies are increasingly common in omics sciences ...

Most people are familiar with data in the form of a spreadsheet, with labeled columns of different data types such as name, address, age, and so on. Databases work the same way, with each table laid ...