Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, Polars, and LangChain ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

This paper proposes a scalable and unsupervised feature engineering method that uses vibration imaging and deep learning. For scalability, a vibration imaging approach is devised that incorporates ...

Key Takeaways Top companies like BCG X, EY, and EPAM are actively hiring for AI roles in Dubai and Abu Dhabi.Most AI jobs in ...

From Feature Engineering and Topics Models to Enhanced Prediction Rates in Phishing Detection Abstract: Phishing is a type of fraud attempt in which the attacker, usually by e-mail, pretends to be a ...

Why Engineering ... generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments ...

Describe the enhancement or feature you would like This was added a few weeks ago, but intentionally left undocumented to see how it played out. At this point, the label seems like it's here to sta ...

One key advantage is that it could make AI progress faster. By letting AI improve itself, the DGM cuts down the need for human engineers to plan every step. This could lead to quicker innovation, ...