Integrating surface-enhanced Raman scattering (SERS) with deep learning algorithm has shown great application ... data of bilirubin, cholic acid and ALT, extract effective features, and establish an ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

In the first few years of the AI boom, developers needed to create their own customized integrations to connect APIs from AI ...

Pure Storage introduced new hardware including 300TB DFM, FlashArrays and a new FlashBlade along with its Enterprise Data ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

and costs overall—brands should build a foundational media data model to build better insights. To bring a media data model to life, marketers should take two core actions. 1. Create a single source ...

Greg Green, director of the MS in Applied Data Science Program, emphasized the combination of theory, application and practice as distinctive strengths of UChicago’s master’s programs. “We go after ...

AI coding tools like Bolt and Replit are disrupting the SaaS business model by lowering barriers to building custom software.

The company didn’t reveal the source of the data it used to train the model, but some AI researchers speculate that at least a portion came from Google’s Gemini family of AI. Sam Paech ...

The application data, or appdata, folders in Windows are used to store the settings files necessary for many programs to remember their settings and data and be able to run properly. Every user ...