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#4 January 3, 2026 · Google AI Blog
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
What Happened AutoBNN is a new probabilistic time series forecasting model that uses compositional bayesian neural networks to predict future values of a time series. This model can be used for a vari...
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#3 January 3, 2026 · Microsoft AI Blog
From Hot Wheels to handling content: How brands are using Microsoft AI to be more productive and imaginative
What Happened Microsoft's AI team unveiled a revolutionary solution called "Content Studio" during their recent AI conference, empowering brands to generate high-quality and engaging content...
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#2 January 3, 2026 · Google AI Blog
Talk like a graph: Encoding graphs for large language models
What Happened Graph encoding is a powerful technique in natural language processing (NLP) that allows large language models (LLMs) to understand and generate human-like text by representing language a...
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#1 January 3, 2026 · Google AI Blog
Generative AI to quantify uncertainty in weather forecasting
What Happened Generative AI, a cutting-edge machine learning technique, has gained significant attention in recent years. It has the potential to revolutionize weather forecasting by quantifying uncer...
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January 2, 2026
Generative AI: A Revolution Shaping the Future
The generative AI landscape is rapidly evolving, with a focus on natural language processing (NLP) and deep learning techniques. This cluster of articles delves into the various applications of genera...
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#5 January 2, 2026 · Google AI Blog
Computer-aided diagnosis for lung cancer screening
What Happened Google's AI arm, Research, announced the development of a computer-aided diagnosis (CAD) system for lung cancer screening. The system utilizes AI and machine learning to analyze medical ...
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#4 January 2, 2026 · Google AI Blog
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
What Happened AutoBNN is a new probabilistic time series forecasting model that uses compositional Bayesian neural networks (CBNNs) to generate probabilistic forecasts from a given set of time series....
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#3 January 2, 2026 · Microsoft AI Blog
From Hot Wheels to handling content: How brands are using Microsoft AI to be more productive and imaginative
What Happened Microsoft's AI arm unveiled a new initiative aimed at empowering creative industries, particularly the automotive sector. The announcement emphasizes how brands are leveraging AI to stre...
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#2 January 2, 2026 · Google AI Blog
Talk like a graph: Encoding graphs for large language models
What Happened Google's AI team announced the release of a new tool called "Talk Like a Graph," which allows large language models (LLMs) to generate human-quality text by encoding and decodi...
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#1 January 2, 2026 · Google AI Blog
Generative AI to quantify uncertainty in weather forecasting
What Happened Generative AI technology has made significant strides in weather forecasting, offering a revolutionary way to quantify and predict uncertainty in weather patterns. This breakthrough util...
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