Omni, a fully omnimodal AI model with strong benchmark results, multilingual support, and new audio-visual coding ...

Enterprise AI company Cohere on Thursday launched its first voice model: Transcribe is an open source automatic speech recognition model that can be used for tasks like note-taking and speech analysis ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

Court rules not all computer code is protected under First Amendment's free speech shield Gun website loses bid to revive lawsuit over ghost gun code Lawsuit followed New Jersey crackdown on ghost ...

According to the 2025 Microsoft AI Diffusion Report approximately one in six people globally had used a generative AI product. Yet for billions of people, the promise of voice interaction still falls ...

The FBI has charged multiple people with crimes like vandalism after determining their identities using the controversial technology, according to court records. ICE protesters are being monitored by ...

LAS VEGAS--(BUSINESS WIRE)--Deepgram, the world’s most realistic and real-time Voice AI platform, today announced integration of its enterprise-grade speech-to-text (STT) and text-to-speech (TTS) ...

A mysterious vomiting disorder tied to long-term marijuana use is now formally recognized by global health officials, a move experts say could help save lives as cases surge nationwide. The World ...

We release Qwen3-Omni, the natively end-to-end multilingual omni-modal foundation models. It is designed to process diverse inputs including text, images, audio, and video, while delivering real-time ...

A deep learning system that recognizes human emotions (happy, angry, sad, etc.) from speech audio using CNN-LSTM architecture. ├── data/ # RAVDESS dataset (1,440 files) ├── src/ │ ├── preprocess.py # ...