AssemblyAI

APRIL 3, 2024

  Universal-1 is trained on four major languages: English, Spanish, French, and German, and shows extremely strong speech-to-text accuracy in almost all conditions, including heavy background noise, accented speech, natural conversations, and changes in language, while achieving fast turn-around time and improved timestamp accuracy.

AI 139

AI AI Analytics Analytics 139

Data Science 101

OCTOBER 12, 2023

Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. Meanwhile you can check Microsoft Learn’s tutorials: learn.microsoft.com/en-us… How can people find you elsewhere online? It’s petabytes of data, so a lot of my time is spent processing it. I use PyTorch for that.

Azure 64

Azure Computer Science Computer Science Clustering 64

Smart Data Collective

AUGUST 2, 2019

to align its website accessibility requirements with those of other countries, including those of the European Commission ( EN 301 509 ) and the World Wide Web Consortium ( W3C ) Web Content Accessibility Guidelines ( WCAG ). The aforementioned updates made by the Unites States federal government allow the U.S.

AI 71

AI AI Machine Learning Machine Learning 71

DrivenData Labs

DECEMBER 10, 2023

Team / participant Features Models Data sources NASAPalooza Paper search, paper recommendation, doc upload, paper summarization, chatbot, people search, keyword extraction, topic trends, dataset analysis GPT-3.5 bge-small-en-v1.5 bge-small-en-v1.5 bge-small-en-v1.5

AI 147

AI AI Natural Language Processing Artificial Intelligence 147

Hacker News

FEBRUARY 2, 2023

The closest it gets is a chapter on CP violation (AKA time-reversal violation)—a longtime favorite topic of mine—but from a very particle-physics point of view. The physicists I was around mostly weren’t too interested in such topics—though Richard Feynman was something of an exception. No statistical mechanics. SMP Version 1.0

Machine Learning 161

Machine Learning Machine Learning Algorithm Analytics 161

ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. We will continue to experiment with scope and timelines, to understand how best to convey topics to the reader. Deep Learning est en train de mourir. Vive Differentiable Programming! [27]

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52