White Collar Crime Risk Zones



White Collar Crime Risk Zones uses machine learning to predict where financial crimes are mostly likely to occur across the US.

Tree Canopy Lab



By Google

Google is mapping tree canopy coverage using aerial imagery in Los Angeles. Tree coverage varies across neighborhoods and developing an understanding of tree locations can inform and inspire action.

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Project Guideline


By Google

In collaboration with nonprofit organization Guiding Eyes for the Blind, Google today piloted an AI system called Project Guideline, designed to help blind and low-vision people run races independently with just a smartphone.

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Polis is a real-time system for gathering, analyzing and understanding what large groups of people think in their own words, enabled by advanced statistics and machine learning.

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Indigenous AI


The Indigenous Protocol and Artificial Intelligence (A.I.) Working Group develops new conceptual and practical approaches to building the next generation of A.I. systems.

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MASAKHANE is an research effort for natural language processing for African languages that is OPEN SOURCE, CONTINENT-WIDE, DISTRIBUTED and ONLINE. This project houses the community, data, code, results and research for building open baseline translation results for African languages (other NLP tasks coming soon...).

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Carbontracker is a tool for tracking and predicting the energy and carbon footprint of training DL models.

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Project Amber



By Google X

Alphabet Inc.’s experimental research and development lab X made Project Amber, early-stage mental health freely available for the mental health community to build upon their technology and research findings.

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AMSimp is creating open-source software that leverages machine learning to improve numerical weather predictions.

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AI for children



Exploring how to embed child rights in the governing policies of artificial intelligence

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Diversity Equity and Inclusion in AI – Interview Study


By Partnership on AI

The purpose of the study is to gain insight into the various factors that contribute to an inclusive climate in tech more broadly, and AI teams more specifically. This work is crucial to understanding more about attrition in the field of AI.

AI Cures



By Jameel Clinic

AI Cures is a group of machine learning and life science researchers who are collaborating on developing machine learning methods for finding promising antiviral molecules for COVID-19 and other emerging pathogens.

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The Cancer Grand Challenges’ Mutographs



By The Cancer Grand Challenges

The Cancer Grand Challenges’ Mutographs team, an international research group funded by Cancer Research U.K., is using machine learning models to study DNA from the tumors of 5,000 patients with five cancer types: pancreas, kidney and colorectal cancer, as well as two kinds of esophageal cancer.

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Static malware-as-image network analysis (STAMINA)



By Intel, Microsoft

Researchers from Intel and Microsoft joined forces to study the use of deep learning for malware threat detection in this whitepaper.

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The AI Civic Forum


By The Future Society

The AI Civic Forum aims to bring together diverse communities of citizens, policymakers, academics, experts, private sector representatives and other key stakeholders to deliberate on the ethical design, deployment, and governance of AI.

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Collective and Augmented Intelligence Against COVID-19 (CAIAC)



By The Stanford Institute for Human-Centered Artificial Intelligence, The Future Society

CAIAC helps decision makers make sense of the overwhelming amount of information and uncertainty surrounding COVID-19 and its cascading effects

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Mechanism Design for Social Good (MD4SG)



Mechanism Design for Social Good (MD4SG) is a multi-institutional initiative using techniques from algorithms, optimization, and mechanism design, along with insights from other disciplines, to improve access to opportunity for historically underserved and disadvantaged communities. Members of MD4SG include researchers from computer science, economics, operations research, public policy, sociology, humanistic studies, and other disciplines as well as domain experts working in non-profit organizations, municipalities, and companies.

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The Global Partnership on AI (GPAI) is an international initiative created by France and Canada along with Australia, the European Union, Germany, India, Italy, Japan, Mexico, New Zealand, the Republic of Korea, Singapore, Slovenia, the United Kingdom and the United States of America. It is also multiparty and seeks to guide responsible development and use of AI in a spirit of respect for human rights, inclusion, diversity, innovation and economic growth.

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AI Policy Forum


By MIT Schwarzman College of Computing

The AI Policy Forum will be a yearlong process that brings together scientists, technologists, policymakers and business leaders, culminating in an event gathering high-level decision makers to provide a focal point for work to move from AI principles to AI practice, and to serve as a springboard to global efforts to design the future of AI.

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Open Catalyst Project



By Facebook, Carnegie Mellon University

Using AI to model and discover new catalysts to address the energy challenges posed by climate change.  

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