Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...

Abstract: Inference capabilities of machine learning (ML) systems skyrocketed in recent years, now playing a pivotal role in various aspect of society. The goal in statistical learning is to use data ...

Abstract: State of health (SOH) is a key parameter to assess lithium-ion battery feasibility for secondary usage applications. SOH estimation based on machine learning has attracted great attention in ...

Prepare the Data for Machine Learning Algorithms Let's revert to the original training set and separate the target (note that strat_train_set.drop() creates a copy of strat_train_set without the ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Four wildly different machines reveal where American performance is now and where it’s headed next.

For the last two years, the enterprise AI conversation has largely revolved around experimentation. Could a model answer customer questions? Could it summarize documents? Could it automate workflows?

Pavan Subramani started doing molecular dynamics simulations for computational drug discovery alongside his high school coursework, sparking an interest in a STEM career.