Modular visual question answering via code generation

Favorite Posted by Sanjay Subramanian, PhD student, UC Berkeley, and Arsha Nagrani, Research Scientist, Google Research, Perception Team Visual question answering (VQA) is a machine learning task that requires a model to answer a question about an image or a set of images. Conventional VQA approaches need a large amount

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Shared by Google AI Technology July 7, 2023

Unlocking the AI-powered opportunity in the UK

Favorite AI is the most profound technology that humanity is working on today. It’s a critical part of solving big societal challenges and helping to make our everyday lives bett… View Original Source (blog.google/technology/ai/) Here.

Leonardo da Vinci: Inside a genius mind

Favorite 28 institutions from around the world join forces to showcase Leonardo da Vinci’s unparalleled legacy, blending art, science, and AI innovation View Original Source (blog.google/technology/ai/) Here.

Our support for early warning systems

Favorite Google’s Yossi Matias and WMO Director of Infrastructure Anthony Rea discuss the Early Warnings For All Initiative. View Original Source (blog.google/technology/ai/) Here.

OSI calls for revision of disclosure rules in CRA

Favorite OSI is a co-signatory of an open letter sent this week to the European Parliament by European Digital Rights (EDRi) expressing concern that the Cyber Resilience Act (CRA) draft currently under consideration still includes mandatory requirements for vulnerability disclosure that violate best practices in Open Source software collaborations and are

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Shared by voicesofopensource June 20, 2023