Seedance 2.5 allows you to attach up to 50 references to your request, giving you more control over the video it creates.

But the game has been opened up for millions of Americans, democratized by prediction markets like Kalshi and Polymarket, where users can bet on anything, including, in some cases, an outcome they ...

The true story behind Chris Hansen, To Catch a Predator and Primetime, the new Robert Pattinson film about vigilante TV and ratings.

Time-series data in manufacturing (temperature, pressure, vibration, current...) is tricky. Data preprocessing, windowing, normalization, the format to pass to the model... "I'll visualize that data ...

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...

pyts is a Python package for time series classification. It aims to make time series classification easily accessible by providing preprocessing and utility tools, and implementations of ...

The application of classification models to neural data – known as decoding – has become a standard technique in neurosciences, including electroencephalography (EEG) research. Unlike univariate ...

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...