This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

Like something from a galaxy far, far away, robots are getting closer to their big takeover.

To keep this tutorial practical, we'll simulate robot telemetry data using Python rather than connecting to actual physical robots. This simulator mimics real-world robot behavior and continuously ...

At this stage of the robotics race, it's probably fair to assume that a few of us have a bit of humanoid malaise. After all, we've seen more funny videos of robots dropping plates out of dishwashers ...

While Silicon Valley spent 2025 polishing its marketing decks for the humanoid future, China was busy shipping the robots. Nearly 90% of all humanoid robots sold globally in 2025 were Chinese, and six ...

Chinese robotics firm MirrorMe Technology has unveiled what it claims is the fastest-running humanoid robot to date, marking a new benchmark in bipedal robotics. Achieving the feat is Bolt, a ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: This paper presents a cooperative control framework for dual-arm robots that integrates vision-language models (VLMs) with online reinforcement learning (RL) to enhance autonomy and ...