Was the Big Unread Bill a poison pill?
Will it destroy federal legitimacy The post Was the Big Unread Bill a poison pill? appeared first on Downsize DC.
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EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas
Hey everyone! Welcome to the start of a major data journey that I’m calling “EDA in Public.” For those who know me, I believe the best way to learn anything is to tackle a real-world problem and share the entire messy process — including mistakes, victories, and everything in between. If you’ve been looking to level up […] The post EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas appeared first on Towards Data Science.
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Watermarking and Forensics for AI Models, Data, and Deep Neural Networks
In my previous paper posted here, I explained how I built a new class of non-standard deep neural networks, with various case studies based on synthetic data and open-source code, covering problems such as noise filtering, high-dimensional curve fitting, and predictive analytics. One of the models featured a promising universal function able to represent any type of smooth response, while leading to fast convergence. Here I explore weight sensitivity and distillation. The words weight and parameter are used […]
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Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being overexploited, and climate change. To better understand these changes and protect vulnerable wildlife, conservationists like MIT PhD student and Computer Science and Artificial Intelligence Laboratory (CSAIL) researcher Justin Kay are developing computer vision algorithms that carefully monitor animal populations. A member of the lab of MIT Department of Electrical Engineering and […]
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The Myth of Cloud Resilience in the Age of Intelligence – SPONSOR CONTENT FROM RELTIO
Sponsor content from Reltio.
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The Machine Learning “Advent Calendar” Day 4: k-Means in Excel
How to implement a training algorithm that finally looks like “real” machine learning The post The Machine Learning “Advent Calendar” Day 4: k-Means in Excel appeared first on Towards Data Science.
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Optimizing PyTorch Model Inference on CPU
Flyin’ Like a Lion on Intel Xeon The post Optimizing PyTorch Model Inference on CPU appeared first on Towards Data Science.
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