Ecology and environment

Publication

Estimating Crop Yields With Remote Sensing And Deep Learning

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | October 2020, pp. 59-64

Group

AI For Good Lab

The Microsoft AI For Good team helps researchers and organizations reach solutions on some of the world’s biggest problems. Providing technology, resources, and expertise to empower those working to solve humanitarian issues to create a…

Tool

Pytorch-wildlife

At the core of our mission is the desire to create a harmonious space where conservation scientists from all over the globe can unite. Where they’re able to share, grow, use datasets and deep learning…

GitHub

Publication

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020

1st place in 2020 IEEE GRSS Data Fusion Contest

Project Project

Tool

Land Cover Orinoquia

This AI for Earth project, in collaboration with the Wildlife Conservation Society Colombia (WCS Colombia (opens in new tab)) was developed to create up-to-date land cover maps of the Orinoquía (opens in new tab) region…

GitHub

Publication

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Project Project Project

Publication

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead

Science Direct | September 2020

Project Project Project

Publication

Architecting Datacenters for Sustainability: Greener Data Storage using Synthetic DNA

Bichlien Nguyen, Julie Sinistore, Jake Smith, Praneet S. Arshi, Lauren M. Johnson, Tim Kidman, T.J. diCaprio, Doug Carmean, Karin Strauss

Electronics Goes Green 2020 | September 2020

Project

Publication

How machine learning can help select capping layers to suppress perovskite degradation

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Nature Communications | August 2020, Vol 11(1): pp. 4172-4172

Video

Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays

August 11, 2020 | Shoken Kaneko

Audio-based wildlife monitoring is an important method for studying animal habitations and for the conservation of animal species and ecosystems. In this work, we have developed a highly efficient and scalable forest acoustics simulation algorithm,…

1:05:10

Project FarmVibes | Research for Industry

Bioacoustics: Leveraging AI to process audio recordings of diverse species

Geospatial Machine Learning

Advance sustainability initiative | AI For Good Lab

Estimating Crop Yields With Remote Sensing And Deep Learning

AI For Good Lab

Pytorch-wildlife

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Land Cover Orinoquia

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Architecting Datacenters for Sustainability: Greener Data Storage using Synthetic DNA

How machine learning can help select capping layers to suppress perovskite degradation

Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays

Ecology and environment

Highlights