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New AI agents handle pipeline creation, data science workflows and analytics queries autonomously, potentially reshaping how enterprise data professionals spend their time.
Enterprises can use a powerful, near topline OpenAI LLM on their hardware totally privately and securely, without sending data to the cloud.
Programming used to entail spending long hours staring at black-and-white terminals and fixing syntax problems in silence. Now, a new movement called Vibe Coding is changing the way the next ...
Raja Koduri, the influential GPU architect known for his work at ATI Technologies, AMD, Apple, and Intel, has introduced a ...
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XDA Developers on MSNI revisited AutoHotkey with NotebookLM by my side, and it was revolutionaryI admittedly slept on this tool for a while, but a recent need for a new automation script provided the perfect opportunity ...
Malicious PyPI packages, repo hijacks, and CVEs in Python containers put devs at risk. Learn how to stay secure.
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How-To Geek on MSN6 Python Mistakes To Avoid While CodingWorking with files in Python is pretty easy. But there’s a common mistake that can sneak into your code. Not closing the file ...
Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step ...
Developers should reformat AI code using proper indentation, spacing, and line breaks. When logic flows naturally and looks ...
Microsoft Threat Intelligence has uncovered a cyberespionage campaign by the Russian state actor we track as Secret Blizzard ...
MCP makes agentic AI flexible - but also vulnerable. For CISOs, visibility, control and secure workflows are crucial for trust and resilience.
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