Minds Behind Maps
Published:
In this podcast, I talked to Maxime Lenormand about my geospatial journey as well as Open Machine Learning for Satellite Imagery. Check out the episode’s page on Minds Behind Maps website, or the Youtube link below.
Hamed Alemohammad
Director of Center for Geospatial Analytics and Associate Professor at the Graduate School of Geography at Clark University
You May Also Enjoy
Impact AI
less than 1 minute read
Published:
In this podcast, I talked to Heather (Dunlop) Couture about Foundation Models for Earth Observation. There are several different foundation models for EO, and we discussed the applications of these models, how to choose the right one for a given project, and ethical considerations for using them responsibly. Check out the episode’s page on Impact AI website, or listen to this podcast on Spotify below.
Dirt on Data
less than 1 minute read
Published:
In this podcast, I talked to Drew Wheadon from Tetra Tech who is the Program Manager for the Enabling Crop Analytics at Scale, an initiative of the Bill and Melinda Gates Foundation. We talked about the data value chain in the agricultural sector from collection on the ground to enabling analysis. Listen to this podcast on ECAAS’ website.
Practical AI
less than 1 minute read
Published:
In this episode of Practical AI podcast, together with Joyce Nakatumba-Nabende (Scientific Head of the Makerere Artificial Intelligence Lab) and former colleague Abba Barde, we sat down with DANIEL WHITENACK and Chris Benson and talked about the landscape if AI solutions in Africa. In particular, we discussed the role of Radiant Earth Foundation and open data policies to advance the impact of AI across the continent. We highlighted how open Earth Observation data can support Africa’s progress toward meeting UN Sustainable Development Goals, and how AI-based applications can be used in these data scarce regions. Check out this episode below or on Practical AI’s website.
Practical AI 162: 🌍 AI in Africa - Radiant Earth – Listen on Changelog.com
TWIML Fest
less than 1 minute read
Published:
Machine learning techniques can play a major role in enabling a sustainable agriculture. In a session at TWIML Fest 2020, me and four other experts from the field talked to Jennifer Hobs about the challenges and opportunities that ML provides in this domain. Check out this episode on TWIML Fest 2020 website.