New method accelerates data retrieval in huge databases
Hashing is a core operation in most online databases, like a library catalogue or an e-commerce website. A hash function generates codes that directly determine the location where data would...
Leveraging transfer learning for large scale differentially private image classification
Posted by Harsh Mehta, Software Engineer, and Walid Krichene, Research Scientist, Google Research Large deep learning models are becoming the workhorse of a variety of critical machine learning (ML) tasks....
Mining the right transition metals in a vast chemical space
Swift and significant gains against climate change require the creation of novel, environmentally benign, and energy-efficient materials. One of the richest veins researchers hope to tap in creating such useful...
Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges
Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering...
The Fanfic Sex Trope That Caught a Plundering AI Red-Handed
Sudowrite is intended to be used as a writer’s assistant; authors plug in sentences that are giving them trouble, or scenes they’re working on, and the AI offers up a...
Detailed images from space offer clearer picture of drought effects on plants
“MIT is a place where dreams come true,” says César Terrer, an assistant professor in the Department of Civil and Environmental Engineering. Here at MIT, Terrer says he’s given the...
Scaling vision transformers to 22 billion parameters
Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large Language Models (LLMs) like PaLM or GPT-3 showed that scaling transformers to hundreds of billions of parameters improves...
Learning to grow machine-learning models
It’s no secret that OpenAI’s ChatGPT has some incredible capabilities — for instance, the chatbot can write poetry that resembles Shakespearean sonnets or debug code for a computer program. These...
Pre-trained Gaussian processes for Bayesian optimization
Posted by Zi Wang and Kevin Swersky, Research Scientists, Google Research, Brain Team Bayesian optimization (BayesOpt) is a powerful tool widely used for global optimization tasks, such as hyperparameter tuning,...
