John Bostanci1 and John Watrous21Computer Science Department, Columbia University2Institute for Quantum Computing and School of Computer Science, University of WaterlooFind this paper interesting or...
Deploying high-quality, trained machine learning (ML) models to perform either batch or real-time inference is a critical piece of bringing value to customers. However,...
Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available...
In previous blog post, we described an end-to-end identity verification solution in a single AWS Region. The solution uses the Amazon Rekognition APIs DetectFaces...
Johannes Weidenfeller1,2, Lucia C. Valor1, Julien Gacon1,3, Caroline Tornow1,2, Luciano Bello1, Stefan Woerner1, and Daniel J. Egger11IBM Quantum, IBM Research Europe – Zurich2ETH Zurich3Institute...
Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team
In recent years, language models (LMs) have become more prominent in natural...
This post was co-written with Sachin Kadyan, a leading developer of OpenFold. In drug discovery, understanding the 3D structure of proteins is key to assessing the ability of a drug to bind to it, directly impacting its efficacy. Predicting the 3D protein form, however, is very complex, challenging, expensive, and time consuming, and can take […]
