Media Summary: ML4EO: Living England: Object-Based Change Detection for Habitat Monitoring (Elizabeth Feakin) This talk by Andrew French was recorded at the DRIIMB webinar on 3 March 2026. In this talk I will introduce the BBSRC-funded ... The following flash talks are presented: - Mapping African Baobabs using U-Net modelling with Worldview 3, Sentinel-2, ...

Ml4eo Living England Object Based - Detailed Analysis & Overview

ML4EO: Living England: Object-Based Change Detection for Habitat Monitoring (Elizabeth Feakin) This talk by Andrew French was recorded at the DRIIMB webinar on 3 March 2026. In this talk I will introduce the BBSRC-funded ... The following flash talks are presented: - Mapping African Baobabs using U-Net modelling with Worldview 3, Sentinel-2, ... Comparison of Carbon Estimates from the JULES Land Surface Model and Earth Observation Time-Series for The following flash talks are presented: - NERC Platforms and Services supporting Machine Learning in Environmental Research. From Black Box to Benchmark: Scottish Team Set New Geospatial AI Standards for the Environmental Sector Highlands ...

Tom Yeh, Associate Professor of Computer Science at the University of Colorado Boulder & creator of AI by Hand, breaks down ... Bridging the gap between the AI and Earth Observation communities ESA's AI4EO initiative Thursday 4th of February 2021, ... Jan 21, 2020 - Morning 1 (00:07) "Feeding the next generation of data-hungry Earth science ML models" Manil Maskey - NASA ... In this talk Gábor Csányi (Director at the Max Planck Institute for Polymer Research, Mainz, Germany) talks about his group's latest ... Talk Date: 02/17/26 ​Talk Abstract: Spatial transcriptomics assays are rapidly increasing in scale and complexity, making ... Les Valiant (Harvard University) The Role of TCS in ...

January 21, 2020 - Morning 1 (00:07) “Challenges and opportunities in scaling machine learning methods for Earth Observation ...

Photo Gallery

ML4EO: Living England: Object-Based Change Detection for Habitat Monitoring (Elizabeth Feakin)
AI in the Biosciences: a UK-wide network, and some example projects from Nottingham
ML4EO:  Flash Talks (part 1)
ML4EO: Comparison of Carbon from JULES and EO Time-Series for UK Green Belts (Dr. Milto Miltiadou)
ML4EO:  Flash Talks (part 2)
New geospatial AI standards for the Environmental Sector: Trustable AI in Mapping (TAiM)
This CS Professor Teaches AI Without a Computer. Here's Why | CU Boulder, Tom Yeh
EOcafe EO4AI: Bridging the gap between the AI and Earth Observation communities
NASA ML4EO 2020 - Earth Observation & Machine Leaning Models [plenary presentations]
IWR, EllIS, SIMPLAIX Joint-Colloquium: Gábor Csányi on MACE Force Field Models for Periodic Table
BioML Seminar 4.2 - Kenny Workman on Agents for Real-World Spatial Biology Data
Enhanced and Efficient Reasoning in Large Language Models
View Detailed Profile
ML4EO: Living England: Object-Based Change Detection for Habitat Monitoring (Elizabeth Feakin)

ML4EO: Living England: Object-Based Change Detection for Habitat Monitoring (Elizabeth Feakin)

ML4EO: Living England: Object-Based Change Detection for Habitat Monitoring (Elizabeth Feakin)

AI in the Biosciences: a UK-wide network, and some example projects from Nottingham

AI in the Biosciences: a UK-wide network, and some example projects from Nottingham

This talk by Andrew French was recorded at the DRIIMB webinar on 3 March 2026. In this talk I will introduce the BBSRC-funded ...

ML4EO:  Flash Talks (part 1)

ML4EO: Flash Talks (part 1)

The following flash talks are presented: - Mapping African Baobabs using U-Net modelling with Worldview 3, Sentinel-2, ...

ML4EO: Comparison of Carbon from JULES and EO Time-Series for UK Green Belts (Dr. Milto Miltiadou)

ML4EO: Comparison of Carbon from JULES and EO Time-Series for UK Green Belts (Dr. Milto Miltiadou)

Comparison of Carbon Estimates from the JULES Land Surface Model and Earth Observation Time-Series for

ML4EO:  Flash Talks (part 2)

ML4EO: Flash Talks (part 2)

The following flash talks are presented: - NERC Platforms and Services supporting Machine Learning in Environmental Research.

New geospatial AI standards for the Environmental Sector: Trustable AI in Mapping (TAiM)

New geospatial AI standards for the Environmental Sector: Trustable AI in Mapping (TAiM)

From Black Box to Benchmark: Scottish Team Set New Geospatial AI Standards for the Environmental Sector Highlands ...

This CS Professor Teaches AI Without a Computer. Here's Why | CU Boulder, Tom Yeh

This CS Professor Teaches AI Without a Computer. Here's Why | CU Boulder, Tom Yeh

Tom Yeh, Associate Professor of Computer Science at the University of Colorado Boulder & creator of AI by Hand, breaks down ...

EOcafe EO4AI: Bridging the gap between the AI and Earth Observation communities

EOcafe EO4AI: Bridging the gap between the AI and Earth Observation communities

Bridging the gap between the AI and Earth Observation communities ESA's AI4EO initiative Thursday 4th of February 2021, ...

NASA ML4EO 2020 - Earth Observation & Machine Leaning Models [plenary presentations]

NASA ML4EO 2020 - Earth Observation & Machine Leaning Models [plenary presentations]

Jan 21, 2020 - Morning 1 (00:07) "Feeding the next generation of data-hungry Earth science ML models" Manil Maskey - NASA ...

IWR, EllIS, SIMPLAIX Joint-Colloquium: Gábor Csányi on MACE Force Field Models for Periodic Table

IWR, EllIS, SIMPLAIX Joint-Colloquium: Gábor Csányi on MACE Force Field Models for Periodic Table

In this talk Gábor Csányi (Director at the Max Planck Institute for Polymer Research, Mainz, Germany) talks about his group's latest ...

BioML Seminar 4.2 - Kenny Workman on Agents for Real-World Spatial Biology Data

BioML Seminar 4.2 - Kenny Workman on Agents for Real-World Spatial Biology Data

Talk Date: 02/17/26 ​Talk Abstract: Spatial transcriptomics assays are rapidly increasing in scale and complexity, making ...

Enhanced and Efficient Reasoning in Large Language Models

Enhanced and Efficient Reasoning in Large Language Models

Les Valiant (Harvard University) https://simons.berkeley.edu/talks/les-valiant-harvard-university-2026-05-26 The Role of TCS in ...

NASA ML4EO - Machine Learning Applications, Analytics, & Products [lightning presentations 1]

NASA ML4EO - Machine Learning Applications, Analytics, & Products [lightning presentations 1]

January 21, 2020 - Morning 1 (00:07) “Challenges and opportunities in scaling machine learning methods for Earth Observation ...