Our NER pipeline, despite its simplicity in setup, did a pretty good job.

When it comes to AI development, people think of Python.From generative AI like ChatGPT to image recognition and speech ...

AI enables machines to analyze data, generate content, synthesize speech, make predictions, and support decision-making across industries. As AI capabilities expand through generative models, language ...

MeHello Gemini 🌞 Hugging Face—what kind of company is that? The intent behind Nvidia's acquisition of Hugging FaceNote: From ...

An Apple paper shows a lightweight way to find speech that switches languages mid-sentence, scoring 0.798 F1 across 14 pairs.

Ray is an open source framework for scaling Python applications. It includes libraries specific to AI workloads, making it especially suited for developing AI applications. Ray on Azure Databricks ...

Today we are highlighting improvements across a few key open-source projects many of you already use, as well as updates to Windows ML. To empower developers, we must support the broad range of tools ...

A beginner-friendly machine-learning project that classifies short audio recordings into emotion labels using MFCC audio features and a scikit-learn classifier. Important: This repository is a working ...

Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

Block's in-house AI research lab announced Dessa on October 23, 2026, a full-duplex speech-to-speech model the company says was trained from scratch on nothing but human conversation, releasing live ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...