Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

Key Takeaways Python remains the most popular choice in robotics due to its simplicity and AI integration.C++ is essential ...

Learn how to build a local AI assistant with Cursor AI. Automate tasks, boost productivity, and maintain data privacy in just ...

JetBrains is positive about the future, with CEO Kirill Skrygan highlighting the company's key offerings as AI coding takes ...

Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow.

Learn how homomorphic encryption enables secure AI data processing by allowing computations on encrypted data without ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...

Free platforms like Coursera and Google AI offer beginner courses in artificial intelligence.• Python is the most used ...

Google has officially launched Gemini CLI, a command-line interface tool designed to bring its advanced Gemini AI models directly into developers’ terminals. Think code analysis, documentation ...

US-based software developers are the world's most prolific users of AI coding assistants, a trend that researchers believe has national economic implications. A quartet of researchers explore American ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.