Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.

With the rapid development of artificial intelligence technology, AI-driven learning methods are gradually permeating various fields, particularly evident in programming education. In recent years, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

AUSTIN, Texas--(BUSINESS WIRE)--Anaconda, Inc., the company committed to advancing AI with open source at scale, today announced that it raised over $150M in a Series C funding round led by Insight ...

When attackers compromised Ultralytics YOLO, a popular real-time object detection machine-learning package for Python, most assumed the Python Package Index, or PyPI, must be the point of failure.

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...

An almond orchard in Parlier provides a look into the future of farming, thanks to an irrigation system that offers previously unthinkable precision.

SAN FRANCISCO — Bloomberg and Tetrate have delivered on their intentions, first announced in October 2024, to develop an innovative, community-led set of core AI gateway features for enterprise AI ...

If we say that the junior and intermediate stages are about "refining skills," then the advanced stage of Python is about ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...