Have you ever wondered how robots like Sophia or your home assistant can sound so much like humans and understand what we say? Natural Language Processing (NLP) technology enables machines to ...

This repository provides XML code examples that use SAS Event Stream Processing to process real-time streaming data. Project code is written to run in SAS Event Stream Processing Studio. Use these ...

Data tend to live in low-dimensional nonlinear subspaces. The framework of Riemannian geometry can take such nonlinearity into account: If set up properly, data seem to lie on low-dimensional linear ...

This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

Individuals differ in their ability to create instances of emotion that are precise and context-specific. This skill – referred to as emotional granularity or emotion differentiation – is associated ...

How far and how fast will the Covid-19 pandemic spread? That question is on everyone’s mind, and it’s something most of us don’t have a good intuition for. The problem is that our human brains tend to ...

Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...