Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

Red Hat’s hybrid cloud-native AI platform streamlines AI workflows and offers powerful new inference capabilities, building ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

Protegrity, a global data security leader, is releasing its free Developer Edition on GitHub to help developers, data scientists, ML engineers, and privacy/security engineers integrate data protection ...

The Microsoft Azure AI Engineer Exam Simulator recreates the look, feel, and pacing of the real certification exam, helping you practice under authentic testing conditions.

IBM Watson is a pretty big name in the AI world, and for good reason. It’s not just one tool, but more like a whole suite of ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Two years ago, Americans anxious about the forthcoming 2024 presidential election were considering the malevolent force of an election influencer: artificial intelligence. Over the past several years, ...

RAG can make your AI analytics way smarter — but only if your data’s clean, your prompts sharp and your setup solid.

Whether your chip is running a vintage computer game or the latest DeepSeek model, it’ll reward you for speaking its native ...