Python is transforming meteorology through packages like Xarray, MetPy, and CliMetLab, which simplify accessing, analyzing, and visualizing large weather datasets. These tools integrate with Jupyter ...

The incident shows that as more real-world outcomes become tradable, the real bottleneck is not trading itself, but the ...

If you are a university student preparing for a career in finance or data analytics, the skills you are learning in your business computing and Excel courses are undergoing a radical transformation.

Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Sai Veda Prakash Masetty is VP of Engineering at Zams, building AI and data systems for high-growth revenue teams. An AI agent can be brilliant in a revenue demo, yet flop in its first week in ...

The paper benchmarks tree-based models (Random Forest, LightGBM, XGBoost) against deep learning (LSTM, CNN-LSTM, GRU, TFT) for hourly building electricity load forecasting, and demonstrates that ...

The pipeline estimates State of Health (SOH) from Coulomb counting across discharge blocks. One discharge block = all discharge sessions between two charging events. The formula is: norm_cap = ...

Anthropic on Tuesday released a preview of its new frontier model, Mythos, which it says will be used by a small coterie of partner organizations for cybersecurity work. In a previously leaked memo, ...