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 ...

GUI design can be a tedious job, requiring the use of specialist design tools and finding a suitable library that fits your use case. If you’re looking for a lightweight solution, though, you might ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

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 ...

Diffusion models have emerged as powerful generative frameworks capable of producing high-quality samples from complex distributions. These models operate by gradually adding noise to data and then ...