Get started with Python’s new native JIT

Here’s an example of a program that demonstrates pretty consistent speedups with the JIT enabled. It’s a rudimentary version of the Mandelbroit fractal: from time import perf_counter import sys print ("JIT enabled:", sys._jit.is_enabled()) WIDTH = 80 HEIGHT = 40 X_MIN,...

Google BigQuery gets managed AI functions to simplify unstructured data analysis

Lowering the barrier to entry for data analysts Traditionally, integrating LLMs into SQL workflows for AI-based reasoning of data has been a time-consuming, tedious, and...

Microsoft Discovery: How AI Agents Are Accelerating Scientific Discoveries

Scientific research has traditionally been a slow and careful process. Scientists spend years testing ideas and doing experiments. They read thousands of papers and...

What software developers need to know about cybersecurity

Get access control right Authentication and authorization aren’t just security check boxes—they define who can access what and how. This includes access to code bases,...

The State of AI in 2025: Key Takeaways from Stanford’s Latest AI Index Report

Artificial intelligence (AI) continues to redefine various sectors of society, from healthcare and education to business and daily life. As this technology evolves, understanding...

Python-powered AI agents are here

Python gets in on the agentic AI revolution, and you can, too, with the new Google Agent Development Kit. Also, get started with editable...
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Unsupervised Full Self-Driving Teslas Will Launch In June, But Only In This One City

After all the false promises, leaks, and bluster it seems that it’s finally happening — Tesla CEO Elon Musk says that the company will...

Nvidia launches AgentIQ toolkit to connect disparate AI agents

While Nvidia’s intention with the toolkit is to help enterprises break down silos between different agent systems, According to Chada, several similar systems can...
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