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* 2022-09-16 - [https://ghc.anitab.org/programs-and-awards/open-source-day/ Open Source Day (OSD)], an all-day hackathon (including workshops), will take place this Friday 16th. Open Food Facts will participate as a project in the context of the [https://ghc.anitab.org/ Grace Hopper Celebration]. The goal of OSD is to promote Open Source contributions by women in tech. Read all about it on our [[Grace Hopper Celebration 2022|wiki page]]. | * 2022-09-16 - [https://ghc.anitab.org/programs-and-awards/open-source-day/ Open Source Day (OSD)], an all-day hackathon (including workshops), will take place this Friday 16th. Open Food Facts will participate as a project in the context of the [https://ghc.anitab.org/ Grace Hopper Celebration]. The goal of OSD is to promote Open Source contributions by women in tech. Read all about it on our [[Grace Hopper Celebration 2022|wiki page]]. | ||
* 2022-09- | * 2022-09-15 - Open Food Facts welcomes a new recruit this week: [https://www.linkedin.com/in/rbournho/ Raphael] is a machine learning specialist and one of the biggest contributors to the project. | ||
* 2022-09-05 - Registration for the [[Open Food Facts Days 2022|'''Open Food Facts Days''']] on the 1-2 October is on-going. Don't forget to [https://connect.openfoodfacts.org/event/open-food-fact-days-2022-1/register register here] if you would like to join us, as places are limited. | * 2022-09-05 - Registration for the [[Open Food Facts Days 2022|'''Open Food Facts Days''']] on the 1-2 October is on-going. Don't forget to [https://connect.openfoodfacts.org/event/open-food-fact-days-2022-1/register register here] if you would like to join us, as places are limited. | ||
* 2022-09-05 - A new intern, Gabriel, is joining us for the next 6 months; he will be working on putting on a new model for embedding and a new library for approximate nearest neighbours methods for the robotoff-ann project, as well as bringing improvements to Robotoff by participating in the elaboration of new models. | * 2022-09-05 - A new intern, Gabriel, is joining us for the next 6 months; he will be working on putting on a new model for embedding and a new library for approximate nearest neighbours methods for the robotoff-ann project, as well as bringing improvements to Robotoff by participating in the elaboration of new models. | ||