NVIDIA Isaac 5.0: Enhanced Sensor Physics and Expanded Synthetic Data Generation

19 May 2025
NVIDIA Isaac robotics platform showing a humanoid robot interacting with objects

NVIDIA Isaac 5.0: Enhanced Sensor Physics and Expanded Synthetic Data Generation

NVIDIA continues to push the boundaries of AI-driven robotics with significant updates to its Isaac ecosystem, announced at COMPUTEX 2025. These innovations address key challenges in robotics development by enhancing…

Hugging Face and Pollen Robotics Introduce Reachy2 – an Open-Source Robot for Household Tasks

10 June 2024

Hugging Face and Pollen Robotics Introduce Reachy2 – an Open-Source Robot for Household Tasks

Hugging Face and Pollen Robotics unveiled the anthropomorphic robot Reachy2, whose training dataset and model are open-source. Reachy2 performs household tasks and interacts safely with people and pets. Pollen Robotics…

ChatGPT Enhancements: Voice Conversations and Image Recognition

25 September 2023
ChatGPT conversations and image recognition

ChatGPT Enhancements: Voice Conversations and Image Recognition

ChatGPT will be able to engage in voice conversations and recognize objects in images. For instance, ChatGPT is ready to read bedtime stories, assist in creating recipes from photos of…

PhotoGuard: Protecting Images from Generative Model Alterations

5 September 2023
photoguard

PhotoGuard: Protecting Images from Generative Model Alterations

Researchers at MIT have introduced PhotoGuard, an algorithm designed to safeguard images from unauthorized alterations by generative models, ensuring the authenticity of images. The widespread use of generative models such…

Pixellib: library for object segmentation in photos and videos

28 January 2021

Pixellib: library for object segmentation in photos and videos

Pixellib is a library for the task of segmenting objects in images and videos. The library supports two main types of object segmentation: semantic and instance segmentation. The complexity of…

New Datasets for 3D Object Recognition

6 November 2018

New Datasets for 3D Object Recognition

Robotics, augmented reality, autonomous driving – all these scenarios rely on recognizing 3D properties of objects from 2D images. This puts 3D object recognition as one of the central problems…

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

26 April 2018
A Synthetic Dataset by Nvidia for Pose Estimation

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

Deep learning made a lot of progress in image recognition and visual arts. The deep learning approach is used to solve the problems of image recognition, image captioning, image segmentation,…

How Has MS Voxel Deep Network Managed to Improve 3D Objects Recognition Using Cloud Map Only

12 April 2018
Objects Recognition Using Cloud Map Only

How Has MS Voxel Deep Network Managed to Improve 3D Objects Recognition Using Cloud Map Only

Mobile Laser Scanning (MLS) systems can now scan large areas, like cities or even countries. The produced 3D point clouds can be used as maps for autonomous systems. To do…