Archives for google research - Page 3
Recently, Google Research has open-sourced a platform that can reconstruct historical cities in 3D visualisation, known as Kartta Labs. The platform is a modular and scalable designed scalable system for virtually reconstructing cities from historical maps and photos. The researchers introduced Kartta Labs as a collaborative time travel and explained that the ultimate goal of…
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Recently, Google Research open-sourced a platform for visualisation and understanding of natural language processing (NLP) models known as Language Interpretability Tool (LIT). LIT integrates local explanations, aggregate analysis and counterfactual generation into a streamlined, browser-based interface to enable rapid exploration and error analysis. Natural Language Processing technique has made several outstanding contributions in recent years.…
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Recently, Google Research introduced a new sparse attention mechanism that improves performance on a multitude of tasks that require long contexts known as BigBird. The researchers took inspiration from the graph sparsification methods. They understood where the proof for the expressiveness of Transformers breaks down when full-attention is relaxed to form the proposed attention pattern.…
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Most Learning Is Slow In The Field Of Machine Learning: Sara Hooker, Researcher at Google Brain
The first day of The Rising 2020 started with an informal session with Sara Hooker, a researcher at Google Brain where she shared some of her personal reflections on how to navigate in the field of machine learning and why we need to celebrate failures as well as success. Hooker started her session with a…
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Recently, developers from Google Research teamed up with the University of Tokyo to introduce Deployment Efficiency and a model-based algorithm known as Behavior-Regularised Model-ENsemble (BREMEN). The algorithm is said to have the capability to optimise an effective policy offline using much lesser data. Reinforcement Learning is one of the most trending techniques that have been…
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From generating deep fake faces to fake videos, Artificial Neural Network has touched new heights as well as opened up various directions in the domain of emerging technologies. While modelling a deep ANN, it is important to use the right metrics with the right dataset to build up a robust model. Generative adversarial networks (GANs)…
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