Google Research AI blog

MARCH 7, 2023

books, magazines, newspapers, forms, street signs, restaurant menus) so that they can be indexed, searched, translated, and further processed by state-of-the-art natural language processing techniques. Middle: Illustration of line clustering. Right: Illustration paragraph clustering. Samples from the HierText dataset.

Clustering 102

Clustering Natural Language Processing Deep Learning Deep Learning 102

Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Becoming Human

MARCH 16, 2023

Graph clustering: The visualization of data in the form of graphs is referred to as clustering. On graph data, there are two distinct types of clustering that can be performed. It has also been applied to problems involving recommender systems and the prediction of criminal associations. How do Graph Neural Networks work?

Clustering 87

Clustering Computer Science Computer Science Deep Learning 87

Towards AI

JULY 21, 2023

They fine-tuned BERT, RoBERTa, DistilBERT, ALBERT, XLNet models on siamese/triplet network structure to be used in several tasks: semantic textual similarity, clustering, and semantic search. old mermaid money found on the Titanic ? Broadcaster Stream API Fast.ai They also provide code to train your own models ?

Deep Learning 96

Deep Learning Deep Learning SQL Natural Language Processing 96

AWS Machine Learning Blog

MARCH 12, 2025

Shot from a low angle with a tilt-shift lens, blurring the background for a dreamy fashion magazine aesthetic. Abstract figures emerging from digital screens, glitch art aesthetic with RGB color shifts, fragmented pixel clusters, high contrast scanlines, deep shadows cast by volumetric lighting.

AWS 120

AWS AI AI ML 120

Becoming Human

MAY 15, 2023

The two most common types of unsupervised learning are clustering , where the algorithm groups similar data points together, and dimensionality reduction , where the algorithm reduces the number of features in the data. Performance Metrics These are used to evaluate the performance of a machine-learning algorithm.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

JULY 11, 2023

This interaction is described in my upcoming article in CXOTech Magazine. For HPC, it’s possible to use a cluster of powerful workstations or servers, each with multiple processors and large amounts of memory. The pros and cons of this human/machine interaction are described later, and in OpenAI’s studies2 and commentaries. [6]

Data Lakes 40

Data Lakes AI AI Cloud Computing 40