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Introducing Nested Learning: A new ML paradigm for continual learning

Algorithms & Theory, Artificial Intelligence, Generative AI, Machine Intelligence

We introduce Nested Learning, a new approach to machine learning that views models as a set of smaller, nested optimization problems, each with its own internal workflow, in order to mitigate or even completely avoid the issue of “catastrophic forgetting”, where learning new tasks sacrifices proficiency on old tasks. The last decade has seen incredible […]

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Differentially private machine learning at scale with JAX-Privacy

Algorithms & Theory, Artificial Intelligence, Responsible AI, Security, Privacy and Abuse Prevention

We announce the release of JAX-Privacy 1.0, a library for differentially private machine learning on the high-performance computing library, JAX. From personalized recommendations to scientific advances, AI models are helping to improve lives and transform industries. But the impact and accuracy of these AI models is often determined by the quality of data they use.

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A new quantum toolkit for optimization

Algorithms & Theory, Artificial Intelligence, Quantum

New theoretical work from Google Quantum AI shows that large scale quantum computers could solve certain optimization problems that are intractable for conventional classical computers. From designing more efficient airline routes to organizing clinical trials, optimization problems are everywhere. Yet for many real-world challenges, even our most powerful supercomputers struggle to find the best solution.

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Separating natural forests from other tree cover with AI for deforestation-free supply chains

Artificial Intelligence, Climate & Sustainability, Global, Open Source Models & Datasets, Responsible AI

Natural Forests of the World 2020 is an AI-powered map that distinguishes natural forests from other tree cover. This critical baseline helps governments, companies, and communities meet deforestation-free goals and protect ecosystems. Forests are vital for our planet as they regulate rainfall, mitigate floods, store and sequester carbon, and help sustain the majority of the planet’s

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Generative UI: A rich, custom, visual interactive user experience for any prompt

Artificial Intelligence, Generative AI, Human-Computer Interaction and Visualization, Product

We introduce a novel implementation of generative UI, enabling AI models to create immersive experiences and interactive tools and simulations, all generated completely on the fly for any prompt. This is now rolling out in the Gemini app and Google Search, starting with AI Mode. Generative UI is a powerful capability in which an AI

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Reducing EV range anxiety: How a simple AI model predicts port availability

Algorithms & Theory, Artificial Intelligence, Product

Google Researchers developed a unique model to predict the probability with which an EV charging port will be available at a certain station within a certain amount of minutes from the current time, which helps EV drivers plan their trips efficiently while minimizing waiting time at the charging stations. more on Google Research Blog

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