Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

In this paper, we propose NeRD (Neural Robot Dynamics), learned robot-specific dynamics models for predicting future states for articulated rigid bodies under contact constraints. NeRD uniquely ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

Google DeepMind has added Agentic Vision to Gemini 3 Flash, enabling active image exploration through Python code execution with 5-10% quality improvements.

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

Abstract: In recent years, implicit neural representation of 3D scenes has evolved significantly and has been rapidly extended to multiple application scenarios. However, using this type of approach ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

Natural physical networks are continuous, three-dimensional objects, like the small mathematical model displayed here. Researchers have found that physical networks in living systems follow rules ...