This architecture enables EO-1 to simultaneously process visual signals, language instructions, and action feedback, thereby enhancing the robot's intelligence level. In kitchen scenarios, EO-1 ...

In artificial intelligence, distillation refers to training a model to imitate the outputs of another model, and it is a ...

Gemini is an AI chatbot you can message over text or talk to with your voice, like Microsoft Copilot or ChatGPT. You can use ...

It is widely acknowledged that biological intelligence is capable of learning continually without forgetting previously learned skills. Unfortunately, it has been widely observed that many artificial ...

Bees’ tiny brains inspire breakthroughs in AI and robotics, showing how efficient neural models could shape future technology and investing.

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.