SaiSatish

Joined: August 22, 2023
Articles: 718
Comments: 2

Science Daily

Studying the Big Bang with artificial intelligence

Artificial intelligence is being used for many extremely complex tasks. So why not use machine learning to study particle physics? As it turns out, this is not easy, because of some special mathematical properties of particle physics. But now, a…

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Accurate Alpha Matting for Portrait Mode Selfies on Pixel 6

Posted by Sergio Orts Escolano and Jana Ehman, Software Engineers, Google Research Image matting is the process of extracting a precise alpha matte that separates foreground and background objects in an image. This technique has been traditionally used in the…

google-researches

Separating Birdsong in the Wild for Classification

Posted by Tom Denton, Software Engineer and Scott Wisdom, Research Scientist, Google Research Birds are all around us, and just by listening, we can learn many things about our environment. Ecologists use birds to understand food systems and forest health…

google-researches

LaMDA: Towards Safe, Grounded, and High-Quality Dialog Models for Everything

Posted by Heng-Tze Cheng, Senior Staff Software Engineer and Romal Thoppilan, Senior Software Engineer, Google Research, Brain Team Language models are becoming more capable than ever before and are helpful in a variety of tasks — translating one language into…

Science Daily

Harnessing noise in optical computing for AI

A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help enhance the creative output of the…

Science Daily

How robots learn to hike

Researchers have developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of…

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Introducing StylEx: A New Approach for Visual Explanation of Classifiers

Posted by Oran Lang and Inbar Mosseri, Software Engineers, Google Research Neural networks can perform certain tasks remarkably well, but understanding how they reach their decisions — e.g., identifying which signals in an image cause a model to determine it…

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Edge processing research takes discovery closer to use in artificial intelligence networks

Researchers have successfully demonstrated proof-of-concept of using their multimodal transistor (MMT) in artificial neural networks, which mimic the human brain. This is an important step towards using thin-film transistors as artificial intelligence hardware and moves edge computing forward, with the…

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Learning to Route by Task for Efficient Inference

Posted by Sneha Kudugunta, Research Software Engineer and Orhan Firat, Research Scientist, Google Research Scaling large language models has resulted in significant quality improvements natural language understanding (T5), generation (GPT-3) and multilingual neural machine translation (M4). One common approach to…

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Scaling Vision with Sparse Mixture of Experts

Posted by Carlos Riquelme, Research Scientist and Joan Puigcerver, Software Engineer, Google Research, Brain team Advances in deep learning over the last few decades have been driven by a few key elements. With a small number of simple but flexible…