Disaster Risk Monitoring Using Satellite Imagery

Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.

Kevin McFall

Kevin McFall

Learn image segmentation from a Master Instructor from NVIDIA's Deep Learning Institute

Other sessions from: Global AI Student Conference December 2022

Dive into AI and create your 1st bot

Dive into AI and create your 1st bot

In this session, we will walk you through the basic concepts of AI. Get...

Tina Popli Tina Popli
Aditi Sharma Aditi Sharma
Generate out of the world images with Azure and Stable Diffusion

Generate out of the world images with Azure and Stable Diffusion

Have you always wanted to have a photo in space, swimming through Atlantis...

Felipe Flores Felipe Flores
David Lazaro David Lazaro
iShare Donation Platform

iShare Donation Platform

The best way is to adopt the idea of the sharing economy and decentralize ...

Jerry Lee Jerry Lee
Andy Lum Andy Lum
Hok Lai Liu Hok Lai Liu
Smart Parking in Modern Cities: Challenges & Solutions

Smart Parking in Modern Cities: Challenges & Solutions

The presentation will address ML-related challenges of emerging intelligent...

Vadim Porvatov Vadim Porvatov
Anastasia Martynova Anastasia Martynova
Foundations of causal inference and open source causal analysis tools

Foundations of causal inference and open source causal analysis tools

Many key data science tasks are about decision-making. They require unders...

Emre Kiciman Emre Kiciman
AI Builder in Power Platform

AI Builder in Power Platform

Artificial Intelligence builder is one of the capabilities of Microsoft...

Shadrack Kiprotich Shadrack Kiprotich