Displaying 272 resources
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Simultaneous Localization and Mapping

The lecture includes the essential knowledge about how we obtain/get 2D and/or 3D maps that robots/drones need, taking measurements that allow them to perceive their environment with appropriate sensors.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Neural Semantic 3D World Modeling and Mapping

This lecture overviews neural semantic 3D world modeling and mapping  that has many applications in 3D world mapping and in attaching semantics to the world maps It covers the following topics in detail: neural disparity/depth estimation and joint

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Introduction to Computer Vision

A detailed introduction to computer vision will be made: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D worl

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Case studies Case studies
White paper White paper

Socially Informed ML Practices

A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Introduction to Tropical Geometry and its Applications to Machine Learning

Tropical geometry is a relatively recent field in mathematics and computer science combining elements of algebraic geometry and polyhedral geometry.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Symbolic, Statistical, and Causal Representations

In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand