Meet the AI-Powered Robots at the AI for Good Global Summit 2023

Channel:
Switzerland AI for Good
Subscribers:
19,700
Published on ● Video Link: https://www.youtube.com/watch?v=V4n2Y4Tp9eo


Duration: 0:00
1,113 views
12

Meet the robots on stage at the AI for Good Global Summit 6 -7 July 2023. These robots are helping to accelerate the achievement of the United Nations Sustainable Development Goals. Their specialised capabilities are defining a new era of human-machine interaction for good!

#RoboticsforGood #AIRobots

Join us for two days of never before presented, state of the art AI solutions and cutting edge knowledge, aligned with the UN Sustainable Development Goals.
Register and learn more here: https://aiforgood.itu.int/summit23/

Join the Neural Network!
πŸ‘‰ https://aiforgood.itu.int/neural-network/
The AI for Good networking community platform powered by AI.
Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.

πŸ”΄ Watch the latest #AIforGood videos!


πŸ“© Stay updated and join our weekly AI for Good newsletter:
http://eepurl.com/gI2kJ5

πŸ—ž Check out the latest AI for Good news:
https://aiforgood.itu.int/newsroom/

πŸ“± Explore the AI for Good blog:
https://aiforgood.itu.int/ai-for-good-blog/

🌎 Connect on our social media:
Website: https://aiforgood.itu.int/
Twitter: https://twitter.com/AIforGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood

What is AI for Good?
We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.
More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.
AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.

Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.



Other Videos By AI for Good


2023-04-11Towards physics-AI hybrid modeling in hydrology: Opportunities and challenges
2023-04-10Meet the Robotics for Good start-ups advancing sustainable development (3rd session)
2023-04-04Huge Ensembles of Weather Extremes using the Fourier Forecasting Neural Network (FourCastNet)
2023-04-04Next-Gen WiFi Throughput Prediction | Machine Learning 5G challenge
2023-04-02AI liability in the EU and the US: stifling or securing innovation?
2023-03-30How ChatGPT will change the classroom – teachers and students discuss
2023-03-28Climate modeling with AI: Hype or Reality? & Deep learning and the dynamics of physical processes
2023-03-27Educational robots providing high-quality and inclusive education for all
2023-03-26How AI is streaming the processing and use of camera trap data for conservation
2023-03-23AI and digital twins: Use cases driving sustainable manufacturing
2023-03-21Meet the AI-Powered Robots at the AI for Good Global Summit 2023
2023-03-19Artificial Intelligence and Industrie 4.0 – The Production of Tomorrow?
2023-03-14AI for flood forecasting | Grey Nearing at Google
2023-03-149 Humanoid Robots are coming to Geneva | AI for Good Global Summit 6 - 7 July 2023 #shorts
2023-03-13AI for advancing fusion energy through enhancing simulation
2023-03-12Meet the Robotics for Good start-ups advancing sustainable development (2nd session) | AI for Good
2023-03-129 Humanoid Robots are coming to Geneva | AI for Good Global Summit 6 - 7 July 2023
2023-03-07AI for tropical meteorology: Challenges and opportunities
2023-03-06Use of Big Data and Artificial Intelligence for inclusive fintech
2023-03-05iNaturalist as a tool for conservation impact and the role of machine learning
2023-03-01Enabling intrusion detection in 5G networks via novel datasets