7 ways businesses are using Google Cloud AI
Favorite At Google Cloud Next 2023, thousands of people gathered in San Francisco to learn about the newest updates from Google Cloud. View Original Source (blog.google/technology/ai/) Here.
SayTap: Language to quadrupedal locomotion
Favorite Posted by Yujin Tang and Wenhao Yu, Research Scientists, Google Simple and effective interaction between human and quadrupedal robots paves the way towards creating intelligent and capable helper robots, forging a future where technology enhances our lives in ways beyond our imagination. Key to such human-robot interaction systems is
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Shared by Google AI Technology August 29, 2023
How 3 healthcare organizations are using generative AI
Favorite We’re introducing Google Cloud healthcare customers using Med-PaLM 2 and other generative AI solutions. View Original Source (blog.google/technology/ai/) Here.
RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers
Favorite Posted by Dahun Kim and Weicheng Kuo, Research Scientists, Google The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. However, modern object detectors are limited by the manual annotations of their
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Responsible AI at Google Research: Perception Fairness
Favorite Posted by Susanna Ricco and Utsav Prabhu, co-leads, Perception Fairness Team, Google Research Google’s Responsible AI research is built on a foundation of collaboration — between teams with diverse backgrounds and expertise, between researchers and product developers, and ultimately with the community at large. The Perception Fairness team drives
Read More Shared by Google AI Technology August 25, 2023
How to compare a noisy quantum processor to a classical computer
Favorite Posted by Sergio Boixo and Vadim Smelyanskiy, Principal Scientists, Google Quantum AI Team A full-scale error-corrected quantum computer will be able to solve some problems that are impossible for classical computers, but building such a device is a huge endeavor. We are proud of the milestones that we have
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Teaching language models to reason algorithmically
Favorite Posted by Hattie Zhou, Graduate Student at MILA, Hanie Sedghi, Research Scientist, Google Large language models (LLMs), such as GPT-3 and PaLM, have shown impressive progress in recent years, which have been driven by scaling up models and training data sizes. Nonetheless, a long standing debate has been whether
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Language to rewards for robotic skill synthesis
Favorite Posted by Wenhao Yu and Fei Xia, Research Scientists, Google Empowering end-users to interactively teach robots to perform novel tasks is a crucial capability for their successful integration into real-world applications. For example, a user may want to teach a robot dog to perform a new trick, or teach
Read More Shared by Google AI Technology August 22, 2023
Google at Interspeech 2023
Favorite Posted by Catherine Armato, Program Manager, Google This week, the 24th Annual Conference of the International Speech Communication Association (INTERSPEECH 2023) is being held in Dublin, Ireland, representing one of the world’s most extensive conferences on research and technology of spoken language understanding and processing. Experts in speech-related research
Read More Shared by Google AI Technology August 21, 2023
Autonomous visual information seeking with large language models
Favorite Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team There has been great progress towards adapting large language models (LLMs) to accommodate multimodal inputs for tasks including image captioning, visual question answering (VQA), and open vocabulary recognition. Despite such achievements, current state-of-the-art visual
Read More Shared by Google AI Technology August 18, 2023