hi@aiweekly.co.in

A picture’s worth a thousand (private) words: Hierarchical generation of coherent synthetic photo albums

Artificial Intelligence, Generative AI, Machine Intelligence, Security, Privacy and Abuse Prevention

We introduce a method for generating differentially private synthetic photo albums that uses an intermediate text representation and produces the albums in a hierarchical fashion. Differential privacy (DP) provides a powerful, mathematically rigorous assurance that sensitive individual information in a dataset remains protected, even when a dataset is used for analysis. Since DP’s inception nearly two decades […]

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A verifiable quantum advantage

Artificial Intelligence, Quantum

In our latest Nature publication, we introduce a new quantum computational task measuring Out-of-Time-Order Correlators (OTOCs). This work demonstrates a verifiable quantum advantage and paves the way for solving real-world problems like Hamiltonian learning in Nuclear Magnetic Resonance (NMR). Nature is brimming with chaos, a phenomenon characterized by the high sensitivity of a system toward small perturbations.

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Google Earth AI: Unlocking geospatial insights with foundation models and cross-modal reasoning

Artificial Intelligence, Climate & Sustainability, Generative AI, Machine Perception

Google Earth AI is our family of geospatial AI models and reasoning agents that provides users with actionable insights, grounded in real-world understanding. Today, we’re sharing our latest Earth AI innovations and expanding access to these new capabilities on Google Earth and Google Cloud. For years, Google has developed AI models that enhance our understanding

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How we are building the personal health coach

Artificial Intelligence, Generative AI, Health & Bioscience

The personal health coach is built with Gemini models to deliver personalized and adaptive coaching, grounded in science and informed by expert oversight. Historically, health and fitness journeys have been fragmented, generic and inaccessible, whether within existing apps or through general health and fitness journeys outside of apps. For instance, a primary care provider might

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StreetReaderAI: Towards making street view accessible via context-aware multimodal AI

Artificial Intelligence, Generative AI, Human-Computer Interaction and Visualization, Machine Intelligence, Natural Language Processing

We introduce StreetReaderAI, a new accessible street view prototype using context-aware, real-time AI and accessible navigation controls. Interactive streetscape tools, available today in every major mapping service, have revolutionized how people virtually navigate and explore the world — from previewing routes and inspecting destinations to remotely visiting world-class tourist locations. But to date, screen readers

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Toward provably private insights into AI use

Artificial Intelligence, Generative AI, Mobile Systems, Security, Privacy and Abuse Prevention, Software Systems & Engineering

We detail how confidential federated analytics technology is leveraged to understand on-device generative AI features, ensuring strong transparency in user data handling and analysis. Generative AI (GenAI) enables personalized experiences and powers the creation of unstructured data, including summaries, transcriptions, and more. Insights into real-world AI use [1, 2] can help GenAI developers enhance their tools

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Exploring a space-based, scalable AI infrastructure system design

Artificial Intelligence, General Science, Responsible AI

Project Suncatcher is a moonshot exploring a new frontier: equipping solar-powered satellite constellations with TPUs and free-space optical links to one day scale machine learning compute in space. Artificial intelligence (AI) is a foundational technology that could reshape our world, driving new scientific discoveries and helping us tackle humanity’s greatest challenges. Now, we’re asking where

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Forecasting the future of forests with AI: From counting losses to predicting risk

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

We introduce the first deep learning–powered benchmark for proactive deforestation risk forecasting. Nature underpins our climate, our economies, and our very lives. And within nature, forests stand as one of the most powerful pillars — storing carbon, regulating rainfall, mitigating floods, and harboring the majority of the planet’s terrestrial biodiversity. Yet, despite their critical importance, the world

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DS-STAR: A state-of-the-art versatile data science agent

Artificial Intelligence, Data Mining & Modeling, Machine Intelligence, Natural Language Processing

DS-STAR is a state-of-the-art data science agent whose versatility is shown by its ability to automate a range of tasks — from statistical analysis to visualization and data wrangling — across various data types, culminating in a top-ranking performance on the famous DABStep benchmark. Data science is a field dedicated to transforming raw data into

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