Responsibility & Safety
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# Introduction
In any machine learning project, feature selection can make or break your model. Selecting the optimal subset of features reduces noise, prevents overfitting,…
In this tutorial, we explore advanced computer vision techniques using TorchVision’s v2 transforms, modern augmentation strategies, and powerful training enhancements. We walk through the process of building an augmentation pipeline,…
We’re expanding our risk domains and refining our risk assessment process. AI breakthroughs are transforming our everyday lives, from advancing mathematics, biology and astronomy to realizing the potential of personalized…
Can a single AI stack plan like a researcher, reason over scenes, and transfer motions across different robots—without retraining from scratch? Google DeepMind’s Gemini Robotics 1.5 says yes, by splitting…
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Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web…
Acknowledgements This work was developed by the Gemini Robotics team: Abbas Abdolmaleki, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Ashwin Balakrishna, Nathan Batchelor, Alex Bewley, Jeff Bingham, Michael…
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# Introduction
The Hugging Face Transformers library has become a go-to toolkit for natural language processing (NLP) and (large) language model (LLM) tasks…
Our new method could help mathematicians leverage AI techniques to tackle long-standing challenges in mathematics, physics and engineering. For centuries, mathematicians have developed complex equations to describe the fundamental physics…
Efficient and accountable financial management is nonnegotiable in today’s K-12 landscape. Outdated, traditional software packages can’t keep pace with the complex demands of modern schools. They must invest in a…