June 29, 2024

AI

My 30-Day Map Challenge 2023

An overview of selected map topics and algorithms Bryan R. Vallejo · Follow Published in Towards Data Science · 9 min read · Jun 6, 2024 — Image by the Author. Collage of selected self-authored maps. Introduction As many of you know, the 30-Day Map Challenge is a social media event where people passionate about maps create a topic-based design for 30 days in November. You can find more information about it on the official

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AI

From Vision Transformers to Masked Autoencoders in 5 Minutes

A Straightforward Guide on How NLP Tasks Generalize to Computer Vision Essam Wisam · Follow Published in Towards Data Science · 7 min read · 1 day ago — Nearly all natural language processing tasks which range from language modeling and masked word prediction to translation and question-answering were revolutionized as the transformer architecture made its debute in 2017. It didn’t take more than 2–3 years for transformers to also excel in computer vision tasks.

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The Noonification: History of Using AI in Education (6/29/2024) | HackerNoon

How are you, hacker? 🪐What’s happening in tech this week: The Noonification by HackerNoon has got you covered with fresh content from our top 5 stories of the day, every day at noon your local time! Set email preference here. By @oussamamater [ 14 Min read ] Laravel offers an elegant method-calling feature called Facades. They resemble static methods, but well, they are not! What kind of magic is Laravel doing? Read More. By @aibites

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The Noonification: History of Using AI in Education (6/29/2024) | HackerNoon

How are you, hacker? 🪐What’s happening in tech this week: The Noonification by HackerNoon has got you covered with fresh content from our top 5 stories of the day, every day at noon your local time! Set email preference here. By @oussamamater [ 14 Min read ] Laravel offers an elegant method-calling feature called Facades. They resemble static methods, but well, they are not! What kind of magic is Laravel doing? Read More. By @aibites

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AI

AutoRound: Accurate Low-bit Quantization for LLMs

Between quantization-aware training and post-training quantization Benjamin Marie · Follow Published in Towards Data Science · 7 min read · 11 hours ago — Generated with DALL-E There are many quantization methods to reduce the size of large language models (LLM). Recently, better low-bit quantization methods have been proposed. For instance, AQLM achieves 2-bit quantization while preserving most of the model’s accuracy.

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AI

Data Engineering, Redefined

How data engineering is practiced today and why we should redefine it Bernd Wessely · Follow Published in Towards Data Science · 7 min read · 1 day ago — What is the Problem with Data Engineering Today? If you search for a clear definition of what data engineering actually is, you’ll get so many different proposals that it leaves you with more questions than answers. But as I want to explain what needs to

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Hardware

Scientists discover asteroid strikes on Mars are 10 times higher than expected

Two new research papers used seismic shocks on Mars as a way of detecting asteroid impacts, and the results indicate Mars gets smacked 10 times more than previous estimates. 3 VIEW GALLERY – 3 IMAGES In one of the studies, researchers looked at some seismic data acquired by NASA’s InSight Lander, which is currently out of commission, and found two massive asteroid impacts. These events occurred 97 days apart and were so large they created

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Hardware

Microsoft CEO of AI says the content you post online is ‘freeware’ for AI training

The CEO of Microsoft’s AI division has sat down for an interview where he touched on the sensitive subject of where the data comes from to train the popular emerging AI tools, such as ChatGPT, or Microsoft’s Copilot. Up until now, there hasn’t been any transparency with the datasets used by companies such as OpenAI to train its neural networks, which power its popular AI tools. The ambiguity around where AI companies are acquiring these

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