Results 1 to 10 of about 23,299,567 (273)
The Power of Scale for Parameter-Efficient Prompt Tuning [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 In this work, we explore “prompt tuning,” a simple yet effective mechanism for learning “soft prompts” to condition frozen language models to perform specific downstream tasks.
Brian Lester +2 more
semanticscholar +1 more source
Evolutionary-scale prediction of atomic level protein structure with a language model
bioRxiv, 2022 Artificial intelligence has the potential to open insight into the structure of proteins at the scale of evolution. It has only recently been possible to extend protein structure prediction to two hundred million cataloged proteins.
Zeming Lin +14 more
semanticscholar +1 more source
Quantitative serology for SARS-CoV-2 using self-collected saliva and finger-stick blood
Scientific Reports, 2022 Convenient and widespread serology testing may alter the trajectory of the COVID-19 pandemic. This study seeks to leverage high-throughput, multiplexed serologic assays, which have been adopted as benchmarks for vaccine efficacy, to support large-scale ...
Christopher Campbell +12 more
doaj +1 more source
Unsupervised Cross-lingual Representation Learning at Scale [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
Alexis Conneau +9 more
semanticscholar +1 more source
The Large Scale Structure of Space-Time
, 2023 First published in 1973, this influential work discusses Einstein's General Theory of Relativity to show how two of its predictions arise: first, that the ultimate fate of many massive stars is to undergo gravitational collapse to form 'black holes'; and
S. Hawking, G. Ellis
semanticscholar +1 more source
Sensitive protein alignments at tree-of-life scale using DIAMOND
Nature Methods, 2021 We are at the beginning of a genomic revolution in which all known species are planned to be sequenced. Accessing such data for comparative analyses is crucial in this new age of data-driven biology. Here, we introduce an improved version of DIAMOND that
Benjamin Buchfink, K. Reuter, H. Drost
semanticscholar +1 more source
Engineering Biology, 2022 This article presents a discussion of the process of precision fermentation (PF), describing the history of the space, the expected 70% growth over the next 5 years, various applications of precision fermented products, and the markets available to be ...
Evgenia A. Markova +2 more
doaj +1 more source
Graph Convolutional Neural Networks for Web-Scale Recommender Systems [PDF]
Knowledge Discovery and Data Mining, 2018 Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art performance on recommender system benchmarks. However, making these methods practical and scalable to web-scale recommendation tasks with billions of items
Rex Ying +5 more
semanticscholar +1 more source
Array databases: concepts, standards, implementations
Journal of Big Data, 2021 Multi-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not all science and engineering domains where they typically represent spatio-temporal sensor, image, simulation output, or statistics “datacubes”.
Peter Baumann +3 more
doaj +1 more source
Billion-Scale Similarity Search with GPUs [PDF]
IEEE Transactions on Big Data, 2017 Similarity search finds application in database systems handling complex data such as images or videos, which are typically represented by high-dimensional features and require specific indexing structures.
Jeff Johnson, Matthijs Douze, H. Jégou
semanticscholar +1 more source