Ecology and environment

Publication

Efficient Pipeline for Automating Species ID in new Camera Trap Projects

Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi

Biodiversity Information Science and Standards | June 2019

Publication

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi

Joule | June 2019, Vol 3(6): pp. 1437-1451

Publication

Additionality, Mistakes, and Energy Efficiency Investment

Ben Gilbert, Jacob LaRiviere, Kevin Novan

June 2019

No 2019-01, Working Papers from Colorado School of Mines, Division of Economics and Business

Publication

Tackling Climate Change with Machine Learning

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jacques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio

June 2019

Tool

Snapshot Serengeti

This data set contains 1.2M sequences of camera trap images, totaling 3.2M images. Species-level labels are provided for 48 species. We have also added approximately 100,000 bounding box annotations to approximately 38,000 images. The images…

Access

Tool

North American Camera Trap Images

This data set contains 3.7M camera trap images from five locations across the United States, with species-level labels for 28 species. More information about this data set is available in the associated manuscript: Tabak, M.…

Access

Dataset Source Code

Caltech Camera Traps

This data set contains 244,497 images from 140 camera locations in the Southwestern United States, with species-level labels for 22 species, and approximately 66,000 bounding box annotations.

GitHub

Video

Thirteen Tech Ideas for a Better India

May 16, 2019 | Roshan Shankar

In this talk, Roshan will share his experiences in Indian democracy through the lens of politics, policy, governance, economy, media, digital media, sustainability, judiciary, elections, government institutions, non-profits, academia, journalism, and civil society. He will…

1:05:08

Publication

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic

CVPR 2019 | May 2019

Project Project Project

Publication

A Global Deal For Nature: Guiding principles, milestones, and targets

E. Dinerstein, C. Vynne, E. Sala, A. R. Joshi, S. Fernando, T. E. Lovejoy, J. Mayorga, D. Olson, G. P. Asner, J. E. M. Baillie, N. D. Burgess, K. Burkart, R. F. Noss, Y. P. Zhang, A. Baccini, T. Birch, N. Hahn, L. N. Joppa, E. Wikramanayake

Science Advances | April 2019, Vol 5(4): pp. 1-17

Project

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

Efficient Pipeline for Automating Species ID in new Camera Trap Projects

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Additionality, Mistakes, and Energy Efficiency Investment

Tackling Climate Change with Machine Learning

Snapshot Serengeti

North American Camera Trap Images

Caltech Camera Traps

Thirteen Tech Ideas for a Better India

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

A Global Deal For Nature: Guiding principles, milestones, and targets

Ecology and environment

Highlights