MachineLearni.ng

A new quantum algorithm for classical mechanics with an exponential speedup

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Posted by Robin Kothari and Rolando Somma, Research Scientists, Google Research, Quantum AI Team Quantum computers promise to solve some problems exponentially faster than classical computers, but there are only a handful of examples with such a dramatic speedup, such as Shor’s factoring algorithm and quantum simulation. Of those few examples, the majority of them…

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Evolving Churn Predictions: Navigating Interventions and Retraining

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Retraining churn models presents unique challenges that need special attention Photo by CrowN on Unsplash Retraining machine learning models, especially those focused on customer churn prediction, is an essential step to ensure their relevancy and accuracy over time. However, retraining churn models presents unique challenges that need special attention. Among the most notable is distinguishing between…

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Scaling multimodal understanding to long videos

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Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all provide varied and complementary information about…

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