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NOOR, the new largest NLP Arabic language model

Data Science Dojo

Approximately 313 million people speak Arabic, making it the fifth most-spoken language globally. This initiative addresses the gap in the availability of advanced language models for Arabic speakers. Enhancing communication and engagement between Arabic-speaking users and AI systems.

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Non-native English speaking scientists work much harder just to keep up

Hacker News

Our research found non-native English speakers face higher rejection rates and 12.5 times more revisions than their native English-speaking counterparts. But there are solutions.

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Unexpected Connections Emerge at CDS’ Weekly Data Science Lunch Seminar

NYU Center for Data Science

This post is part of a series exploring CDS Seminars Andrew Wilson speaking at his Sept 18, 2019 seminar, “How do we build models that learn?” It’s also important to us that all the incoming CDS Fellows have an opportunity to present their research.” Bhatt researches trustworthy machine learning and human-machine collaboration.

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NLPositionality: Characterizing Design Biases of Datasets and Models

ML @ CMU

Despite the prevalence and risks of design biases, they are hard to quantify because researcher, system, and dataset positionality are often unobserved. Additionally, certain groups such as nonbinary people and non-native English speakers are further marginalized by datasets and models as they rank least in alignment across all tasks.

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New Deep Learning Algorithm Can Tell if You’re Above the Legal Drinking Limit

ODSC - Open Data Science

This comes to us from a paper published in Science Direct which states that La Trobe University researchers developed an algorithm that only needs about 12 seconds of audio to make a determination on blood alcohol count levels. So far the deep learning algorithm is able to identify inebriated speakers with an accuracy of almost 70%.

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Real-Time is now Streaming Speech-to-Text, with added customization and control for users

AssemblyAI

Significant advancements in Speech AI research are making live Speech-to-Text transcription more accurate than ever before.   With our recent update to Streaming STT, developers can now customize how and when a speaker is done talking.  This is accomplished by modifying the parameters displayed in the commented line.

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10 Methods for Better Machine Learning at ODSC East 2023

ODSC - Open Data Science

Speaker: Eric Eager, PhD | VP of Research and Development | SumerSports Using Data Science to Better Evaluate American Football Players The game of football is undergoing a significant shift towards the quantitative. Thus, Jordan proposes two metrics for interpretability suitable for unsupervised and supervised AI methods.