Google outlines new methods for training robots with video and large language models

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2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. In a blog post […]

© 2023 TechCrunch. All rights reserved. For personal use only.

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. In a blog post
© 2023 TechCrunch. All rights reserved. For personal use only.  

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Google outlines new methods for training robots with video and large language models

 ​

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. In a blog post […]

© 2023 TechCrunch. All rights reserved. For personal use only.

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. In a blog post
© 2023 TechCrunch. All rights reserved. For personal use only.  

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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