Favorite Posted by Nishant Jain, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research The constantly changing nature of the world around us poses a significant challenge for the development of AI models. Often, models are trained on longitudinal data with the hope that the training data used will accurately

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Shared by Google AI Technology February 14, 2024

Favorite Posted by Mónica Ribero Díaz, Research Scientist, Google Research Differential privacy (DP) is a property of randomized mechanisms that limit the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and

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Shared by Google AI Technology February 13, 2024

Favorite Google Pixel and National Women’s Soccer League announce a multi-year partnership, with Pixel becoming the league’s official mobile phone. View Original Source (blog.google/technology/ai/) Here.

Favorite Bard is now known as Gemini, with a mobile app and an Advanced experience that gives you access to our most capable AI model, Ultra 1.0. View Original Source (blog.google/technology/ai/) Here.

Favorite We’re bringing Gemini to more Google products. Bard will now be called Gemini, and you can access our most capable AI model, Ultra 1.0, in Gemini Advanced. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — take for example transportation networks, production

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Shared by Google AI Technology February 6, 2024

Favorite The Checks team shares three things that privacy professionals should consider when thinking about AI and privacy in 2024. View Original Source (blog.google/technology/ai/) Here.

Favorite A look at our collaboration with humanitarian organizations to use flood forecasting technology. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturing, healthcare and natural sciences. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can meaningfully reduce inventory costs and increase revenue. Deep

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Shared by Google AI Technology February 2, 2024

Favorite Google’s Super Bowl ad shows how Pixel’s Guided Frame helps blind or low vision people take great pictures or selfies. View Original Source (blog.google/technology/ai/) Here.