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AI News Weekly - Issue #363: 20 Best AI Chatbots in 2024 - Dec 14th 2023

AI Weekly

futurism.com Ethics MIT publishes white papers to guide AI governance The comprehensive framework outlined in these papers seeks to extend existing regulatory and liability approaches to effectively oversee AI while fostering its benefits and mitigating potential harm. Many of the services only work on women.

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

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NLP News Cypher | 09.13.20

Towards AI

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 As a result, folks at RISE in Sweden wrote an interesting white paper on data readiness for those applying NLP across businesses/institutions. Aere Perrenius Welcome back.

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Download the free, unabridged version here.

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NLP News Cypher | 09.13.20

Towards AI

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 As a result, folks at RISE in Sweden wrote an interesting white paper on data readiness for those applying NLP across businesses/institutions. Aere Perrenius Welcome back.

NLP 40
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Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning).

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Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning).