Technology partnership equips engineering and legal teams with new capabilities to manage IP risks from AI coding ...

An open source project called Scrapling is gaining traction with AI agent users who want their bots to scrape sites without ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

All-in-One Platform Combines AI-Powered Coding, Visual Building, and Deployable CMS for Modern Web Development LOS ...

New KAPPA data services allow rapid development of custom data functions by automating infrastructure and execution across large unstructured data sets ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

OpenAI launches Lockdown Mode and Elevated Risk warnings to protect ChatGPT against prompt-injection attacks and reduce data-exfiltration risks.

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development. GitHub and developer surveys show strong growth for both ...

So, you want to learn Python, huh? It’s a pretty popular language these days, used for all sorts of things from making websites to crunching numbers. The good news is, you don’t need to spend a ...