The Indian language Telugu has roughly 95 million speakers worldwide. But Indian students still lack STEM resources in their native languages — so an MIT researcher wrote the first original CS paper in Telugu: http://
bit.ly/3HLgQ1K
RESEARCH
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MIT Researcher Publishes First Computer Science Paper in Telugu
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Research Impact Beyond Papers: Building Cumulative Understanding
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Many have the misconception that research is just about publishing papers. In my view, research is about creating a body of work that, when taken in aggregate, extends our understanding. Papers are just stepping stones. This seems like a nice initiative to refocus things.
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Language Bots: Strengths, Weaknesses, and Critical Analysis
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"What the bots couldn’t do, however, was the research or reporting to show their strengths and weaknesses. That requires thought." @bxchen looks at language bots with a journalist's eye:
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AI4Science Workshop Registration Deadline at Caltech February 3rd
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Deadline to register for AI4Science workshop at @caltech on Feb. 3rd
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Future of AI: Speaking at T3CHFEST Madrid
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¡BOOOM! NOS VEMOS EN EL T3CHFEST! ¿Qué decir sobre el futuro de la IA cuando parece que ya vivimos en el futuro? Pues os venís a mi charla y echamos el rato. En Madrid, el Viernes 3
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Text Classification with Hugging Face Transformer Library
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I have taken this simple example of Text Classification to show how to use HF's Transformer Library and the pre-trained models. Will be sharing more detailed content on Hugging Face, its libraries, and how you can utilize them. Stay tuned.
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Building Semantic Search Engine with Cohere Documentation
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Want to learn more? Visit our docs page for the complete code walkthrough of building a semantic search engine. https://
docs.cohere.ai/docs/semantic-
search
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Converting Embeddings to Search Indexes with Annoy
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Step 3: Turn the embeddings into indexes Next, we turn each embedding into a search index. For example, we can use a library called “annoy,” created by Spotify, to do nearest neighbor search, which finds the point in a given set that is closest to a given point.
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Unbiased Algorithms in Differential Privacy Research
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BONUS TWEET Be sure to also check out this other paper posted at the same time, by @thesasho and Haohua Tang, also focused on unbiased algorithms in differential privacy. Despite similarities in the titles, the settings are mostly different. https://
arxiv.org/abs/2301.13850 9/8 -
Congratulations to Junior Researchers on Successful AI Paper
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Anyway, this was a very satisfying paper (
https://
x.com/shortstein/sta
tus/1620279198333149184
…), and I think we really solved everything we set out to. Congrats to junior researchers @argymouz Matthew Regehr @vkerdos on this nice paper! https://
arxiv.org/abs/2301.13334 8/8