Issue #12: June 2020
- Keen: Machine Learning based version of Pinterest
- The Global Partnership on Artificial Intelligence (GPAI)
- CVPR 2020 (virtual)
- NeurIPS 2020 fully virtual
- ICML 2020 Accepted Papers
- NeurIPS 2020 Competitions
Keen: Machine Learning based version of Pinterest
A new project called Keen has been launched from Google’s in-house incubator for new ideas (Area 120) to help users track their interests. The app is like a modern rethinking of the Google Alerts service, which allows users to monitor the web for specific content. Except instead of sending emails about new Google Search results, Keen leverages a combination of machine learning techniques and human collaboration to help users curate content around a topic.
Each individual area of interest is called a “keen” — a word often used to reference someone with an intellectual quickness.
To use Keen, which is available both on the web and on Android, you first sign in with your Google account and enter in a topic you want to research. This could be something like “learning to bake bread”, “bird watching”, “learning about typography”, etc.
Australia, Canada, France, Germany, India, Italy, Japan, Mexico, New Zealand, the Republic of Korea, Singapore, Slovenia, the United Kingdom, the United States of America, and the European Union*, have joined together to create the Global Partnership on Artificial Intelligence (GPAI or Gee-Pay). Founding members will support the responsible and human-centric development and use of AI in a manner consistent with human rights, fundamental freedoms, and our shared democratic values, as elaborated in the OECD Recommendation on AI.
The Global Partnership on Artificial Intelligence (GPAI) is an international and multistakeholder initiative to guide the responsible development and use of AI, grounded in human rights, inclusion, diversity, innovation, and economic growth.
In collaboration with partners and international organizations, GPAI will bring together leading experts from industry, civil society, governments, and academia to collaborate across four Working Group themes:
- Responsible AI
- Data Governance
- The Future of Work
- Innovation & Commercialization.
📌 Source: Government of Canada
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
Following other ML conferences such as ICLR 2020 and ICML 2020 that were held online this year due to the global COVID-19 development, NeurIPS 2020 will be held as a fully virtual conference this year as well. Registration pricing will be significantly reduced and there will be no late registration charges or caps on registration.
📌 Source: NeurIPS 2020
- 4990 submissions (vs 3424 in 2019)
- 1088 accepted (vs 774 in 2019)
- 21.8% acceptance rate (vs 22.6% in 2019)
- 53 graph papers (5% of total)
In this link you can find the list of accepted competitions for NeurIPS 2020. Regular competitions take place before the NeurIPS, whereas live competitions will have their final phase during the competition session NeurIPS2020. Competitions are listed in alphabetical order, all prizes are tentative and depend solely on the organizing team of each competition and the corresponding sponsors. Please note that all information is subject to change, please contact the organizers of each competition directly for more information.
- This is one of the competitions announced: The 2020 MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors (June 15 – Nov 21)
📌 Source: NeurIPS 2020 Competition Track