Starting now: James Manyika, SVP of Technology and Society, and Marian Croak, VP of Engineering @Google will discuss the importance of innovating responsibly and what factors we keep top of mind in our research. Tune in ↓
RESEARCH
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1000 Languages Initiative Expands AI Model Support Worldwide
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To make models that are universally helpful & accessible, they need to reflect the diversity of world languages.
— Google AI (@GoogleAI) 2 novembre 2022
Today, we’re announcing the 1000 Languages Initiative, an ambitious research project to build an AI model that will support the top 1,000 languages of the world (3/3) pic.twitter.com/iH7xmvMdilTo make models that are universally helpful & accessible, they need to reflect the diversity of world languages. Today, we’re announcing the 1000 Languages Initiative, an ambitious research project to build an AI model that will support the top 1,000 languages of the world (3/3)
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PaLM Language Model Enables New Robotics Possibilities
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PaLM, our latest & most capable language model, can unlock new possibilities in robotics.
— Google AI (@GoogleAI) 2 novembre 2022
For example, read about Code as Policies, an approach that, when given natural language instructions, uses language models to write code that controls robots→ https://t.co/hTJ9kbgMdq (2/3) pic.twitter.com/5j11oPVSsJPaLM, our latest & most capable language model, can unlock new possibilities in robotics. For example, read about Code as Policies, an approach that, when given natural language instructions, uses language models to write code that controls robots→ https://
goo.gle/3U5CmCg (2/3) -
VP Research Announces Natural Language Understanding Progress
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We’re committed to pushing the state-of-the-art in language-based AI. @ZoubinGhahrama1
, VP of Research, will update us on our latest progress in natural language understanding and announce a new initiative ↓ (1/3) -
Imagen Video and Phenaki: Text-to-Video Generation Advances
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Meet Imagen Video and Phenaki, two research approaches for text-to-video generation.
— Google AI (@GoogleAI) 2 novembre 2022
By combining diffusion & sequence learning techniques, we can generate videos that are super-res at the frame level and coherent in time. (4/5)https://t.co/O7gGzb9knWhttps://t.co/Uc0krTyTvk pic.twitter.com/Op4tonX2iwMeet Imagen and Phenaki, two research approaches for text-to-video generation. By combining diffusion & sequence learning techniques, we can generate videos that are super-res at the frame level and coherent in time. (4/5) https://
imagen.research.google/video/ https://
phenaki.video -
AudioLM: AI Framework Generates Realistic Speech and Piano Music
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We introduced a new framework, AudioLM, that learns to generate realistic speech and piano music by listening to audio only ↓ (3/5)
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Google’s Generative AI Tools for Creative Expression
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Generative AI has the potential to help us expand our creativity and express ourselves in new, artistic ways. Our Senior Research Director, @douglas_eck
, will be sharing the tools we’re building to generate text, audio, images, and videos ↓ (1/5) -
Citation bias in scholarship: how metrics distort quality perception
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A downside of Google Scholar is that it emphasizes citation counts. This paper shows that once we see citation counts, we think articles with fewer citations must be lower quality… it even affects readers who have cited that article in their own work! https://
pnas.org/doi/10.1073/pn
as.2012208118
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STOC FOCS Conference Acceptance Rate Comparison Analysis
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Are you referring to the acceptance rate? It was 37%. Seems relatively high, compared to ML conferences. But STOC/FOCS are incredibly self selective.
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Scholar Submits Nine Papers to FOCS Conference
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Who is this person submitting 9 papers to FOCS? https://
x.com/ccanonne_/stat
/ccanonne_/status/1587605031129186305
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