In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...

Abstract: In this paper, we introduce a novel framework for creating multimodal interactive digital twin characters, from dialogue videos of TV shows. Specifically, these digital twin characters are ...

LMArena, a startup that originally launched as a UC Berkeley research project in 2023, announced on Tuesday that it raised a $150 million Series A at a post-money valuation of $1.7 billion. The round ...

I’d like to propose adding support for inbuilt data loading of image-based datasets in PyDeepFlow, starting with the MNIST dataset. Currently, the datasets.py file includes built-in loaders for ...

This project implements a Convolutional Neural Network (CNN) to classify images using TensorFlow /Keras. It was created as part of Task 2 of the Data-Science internship assignment. Default dataset: ...

Vizro is an open-source Python toolkit by McKinsey that makes it easy to build beautiful, production-ready data visualization apps. With just a few lines of configuration (via JSON, YAML, or Python ...

On May 30, 2025, The New York Times published an article titled "Trump Taps Palantir to Compile Data on Americans," detailing a supposed combined effort between the U.S. federal government and the ...

Training AI models on historical weather patterns can turn them into accurate forecasters – but they may not be able to predict extreme events that don’t occur in their training data. This could be a ...

We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...