[ad_1] AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments. [ad_2] Source link

[ad_1] Grounding language to vision is a fundamental problem for many real-world AI systems such as retrieving images or generating descriptions for the visually impaired. Success on these tasks requires models to relate different aspects of language such as objects and verbs to images. For example, to distinguish between the two images in…

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[ad_1] DeepMind published a series of papers about large language models (LLMs) last year, including an analysis of Gopher, our large language model. Language modelling technology, which is also currently being developed by several other labs and companies, promises to strengthen many applications, from search engines to a new wave of chatbot-like conversational…

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[ad_1] In the last few years, a focus in language modelling has been on improving performance through increasing the number of parameters in transformer-based models. This approach has led to impressive results and state-of-the-art performance across many natural language processing tasks. We also pursued this line of research at DeepMind and recently showcased…

[ad_1] Working toward greater generalisability in artificial intelligence Today, conference season is kicking off with The Tenth International Conference on Learning Representations (ICLR 2022), running virtually from 25-29 April, 2022. Participants from around the world are gathering to share their cutting-edge work in representational learning, from advancing the state of the art in…

[ad_1] For our first ever 'Five minutes with' we caught up with Kevin Millikin, a software engineer on the DevTools team. He’s in Salt Lake City this week to present at PyCon US, the largest annual gathering for those using and developing the open-source Python programming language. At DeepMind... I build bespoke software…

[ad_1] One key aspect of intelligence is the ability to quickly learn how to perform a new task when given a brief instruction. For instance, a child may recognise real animals at the zoo after seeing a few pictures of the animals in a book, despite differences between the two. But for a…