Projects - Machine learning

CommonLingua

France 🇫🇷

CommonLingua is a 2.35 million-parameters language identification model trained on 2,482,568 paragraphs from Structured Wikipedia and Common Corpus trained by Pleias in partnership with the GSMA's "AI Language Models in Africa, by Africa, for Africa" initiative.

REAL ML

Oregon

REAL ML supports and advances interdisciplinary research that holds the use of algorithms and AI technologies to account—with a focus on the perspectives and experiences of marginalized communities

cosmos.gl

a high-performance WebGL library for visualizing network graphs and machine learning embeddings.

Amazon Mining Watch

Amazon Mining Watch uses machine learning to map the scars of gold mining activities in the Amazonian countries.

Air Quality Time Series Forecasting Using Machine Learning Algorithms

Asunción, Paraguay

This study aimed to develop accurate short-term air quality forecasting models for Asunción, Paraguay using machine learning algorithms.

Algorithmic Accountability in the UK - How FOIA Sheds Light on Automated Welfare

The University of Edinburgh

This study examines 51 Freedom of Information requests to reveal how the UK’s Department for Work and Pensions uses opaque data-driven fraud detection systems in welfare, highlighting the limited transparency, the role of journalists and charities in uncovering details, and inconsistencies in the department’s disclosures.

Woolaroo

United States of America 🇺🇸

Explore endangered languages using AI. Let your camera translate the world around you.

The uneven reach of the state: A novel approach to mapping local state presence

Norway (Norge, Noreg) 🇳🇴

A machine learning model trains on geo-located survey data to predict state presence.

surveillance

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

Stanford University, Serra Mall, Stanford, CA

Article in Nature by Christopher Yeh, Anthony Perez, Anne Driscoll, George Azzari, Zhongyi Tang, David Lobell, Stefano Ermon & Marshall Burke

No poverty

Deep Learning Indaba

Annual meeting of the African machine learning and AI community.

Connect (GOV.UK)

10 Downing Street

i.AI are using AI to match capacity to demand in the Grid connections queue

Using machine learning to help vulnerable tenants in New York City

New York City (NYC / New York, NY)

Our best-performing model can potentially help TSU find 59% more buildings where tenants face landlord harassment than the current outreach method using the same resources.

housing

Climate Intelligence (CLINT)

Europe

The CLIMATE INTELLIGENCE – alias CLINT – project is a European-funded project whose main objective is to develop an Artificial Intelligence framework composed of Machine Learning techniques and algorithms to process big climate datasets for improving Climate Science...

Climate action

LAPD to use AI to analyze body cam videos for officers' language use

Los Angeles

One of multiple studies in the US using artificial intelligence to analyze the tone and word choice police officers use, to determine whether it leads to unnecessarily escalations with the public.

Hugging Face

The HF Hub is the central place to explore, experiment, collaborate and build technology with Machine Learning.

Fingerspelling

Fingerspelling.xyz is a browser-based app that uses a webcam and machine learning to analyze your hand shapes so you can learn to sign the ASL alphabet correctly.

2023 Webby Awards

Deepfakes for good

An article tracking the development of pro-social deepfakes, despite the vast majority consisting of pornographic images of women

LandOS

LandOS facilitates project design, due diligence, finance and certification – all key to unlocking supply at scale.

Community Safety and Wellness Accelerator

AI/ML fueled social impact venture accelerator, powered by Alchemist. Leveraging entrepreneurship, data, etc. to help solve our community's pressing challenges!

Assembl

Paris

Massive collective intelligence is the capacity to mobilize communities on a large scale (hundreds and thousands of participants) around key stakes and challenges to co-create new solutions in a short space of time.

ChatGPT

ML5js

ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

Innowatts

A startup developing an automated toolkit for energy monitoring and management

Climate action

Programa de Derechos Humanos

Mexico City, CDMX, Mexico

El Programa de Derechos Humanos busca, desde su creación en el año de 1998, contribuir a la plena vigencia de los derechos humanos en México a través de la investigación con pertinencia social, la incidencia en el contexto político y social y la promoción de la justicia.

Tackling Climate Change with Machine Learning

Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate.

Autogrid Flex

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints.