Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Nicholas Schneider of Eckert Seamans examines the surge in trade secret litigation and discusses how employee mobility, ...

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.

Anthropic’s new data reveals the specific behaviors that separate effective AI users from passive ones, with direct ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Some school district IT teams have been experimenting with using generative AI tools for cybersecurity, for example to ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...