Python's eating the world - and AI's helping it digest. A cheeky look at why this programming language is suddenly everywhere and the bizarre tale of how AI infiltrated the last place you'd expect.
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- AMD grabs a quarter of x86 market with desktop gains — AMD now accounts for 25 percent of all x86 processor shipments, but only made a slight increase in the past quarter against industry leader Intel in servers – the main gains came from the desktop market.
- Intel exec says Arrow Lake launch ‘just didn’t go as planned' — Intel’s Arrow Lake chips’ “bones are solid,” Hallock said during the interview. Still, the company has identified factors “that can combine to produce some pretty wild unintended effects.” Hallock was also clear that the new Arrow Lake performance issues are strictly Intel’s responsibility, and not the fault of Microsoft or anyone else.
- Announcing .NET 9 — Today, we are excited to announce the launch of .NET 9, the most productive, modern, secure, intelligent, and performant release of .NET yet. It’s the result of another year of effort on the part of thousands of developers from around the world.
- Octoverse: AI leads Python to top language as the number of global developers surges - The GitHub Blog — In this year’s Octoverse report, we study how public and open source activity on GitHub shows how AI is expanding as the global developer community surges in size.
- TensorFlow — TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.
- NumPy - — The fundamental package for scientific computing with Python
- pandas - Python Data Analysis Library — pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,
built on top of the Python programming language.
- PyTorch — A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.
- I’m a neurology ICU nurse. The creep of AI in our hospitals terrifies me — We didn’t call it AI at first. The first thing that happened was these new innovations just crept into our electronic medical record system. They were tools that monitored whether specific steps in patient treatment were being followed. If something was missed or hadn’t been done, the AI would send an alert. It was very primitive, and it was there to stop patients falling through the cracks.
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