Overview:  The right Python libraries cut development time and make complex LLM workflows easier to handle, from data ...

It used to be easy enough to distinguish between human-made and AI-generated imagery — just two years ago, you couldn’t use image models to create a menu for a Mexican restaurant without inventing new ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

April 15 (Reuters) - U.S. President Donald Trump issued several pipeline permits ‌on Wednesday, including one for the construction of a new pipeline, to facilitate the transportation of crude oil and ...

March 19 (Reuters) - OpenAI said on Thursday it will acquire Python toolmaker Astral, as the ChatGPT owner looks to strengthen its portfolio against ‌rival Anthropic and gain more share in the ...

Abstract: Text-to-image models have demonstrated strong capabilities in generating high-quality 2D images from text prompts. However, existing models often struggle to accurately generate images based ...

Muninn records speech, transcribes it, then runs the transcript through a configurable pipeline before injecting the final text back into the active app. The core idea is not just voice capture. It is ...

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality ...

Researchers are developing a two-part therapy for type 1 diabetes: lab-made insulin-producing cells paired with custom-engineered immune cells that protect them. The goal is to stop the immune system ...

This repository provides a reusable, local-first preprocessing pipeline for multi-format business documents (PDF, DOCX, XLS/XLSX, PPT/PPTX). Its objective is to generate sample input files, extract ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...