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Pinterest Changes User Terms So It Can Train AI on User Data and Photos, Regardless of When They Were Posted

Futurism

Pinterest has updated itsprivacy policy to reflect its use of platform user data and images to train AItools. In the update, Pinterest claims its goal in training AI is to "improve the products and services of our family of companies and offer new features." Later, the company provided us with an emailed statement.

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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe.

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Retrieval-augmented visual-language pre-training

Google Research AI blog

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5 , GPT-3 , PaLM , Flamingo and PaLI , have demonstrated the ability to store substantial amounts of knowledge when scaled to tens of billions of parameters and trained on large text and image datasets.

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PaLM-E: An embodied multimodal language model

Google Research AI blog

Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Transform modalities, or translate the world’s information into any language. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

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The most innovative companies in artificial intelligence for 2025

Fast Company Tech

Previously, the stunning intelligence gains that led to chatbots such ChatGPT and Claude had come from supersizing models and the data and computing power used to train them. The big AI labs would now need even more of the Nvidia GPUs theyd been using for training to support all the real-time reasoning their models would be doing.

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4 Ways Nonprofits Can Start Using AI in 2024

Nonprofit Tech for Good

Additionally, nonprofits can create their own custom-trained GPT chatbot with their custom data. This enables the creation of a tailor-made AI assistant, specifically trained to understand and address your nonprofit’s unique needs. Fortunately, you don’t need to learn coding or a new language.

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