AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
LTX 2 is amazing : LTX-2 in ComfyUI on RTX 3060 12GB
My setup: RTX 3060 12GB VRAM + 48GB system RAM. I spent the last couple of days messing around with LTX-2 inside ComfyUI and had an absolute blast. I created short sample scenes for a loose spy story set in a neon-soaked, rainy Dhaka (cyberpunk/Bangla vibes with rainy streets, umbrellas,…
The breakthrough that makes robot faces feel less creepy
Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed at Columbia Engineering learned realistic lip movements by watching its own reflection and studying human videos online. This allowed it to speak and sing with synchronized facial motion, without being…
The Complete Guide to Data Augmentation for Machine Learning
Suppose you’ve built your machine learning model, run the experiments, and stared at the results wondering what went wrong.
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
Recurrent Neural Networks (RNNs) laid the foundation for sequence modeling, but their intrinsic sequential nature restricts parallel computation, creating a fundamental barrier to scaling. This has led to the dominance of parallelizable architectures like Transformers and, more recently, State Space Models (SSMs). While SSMs achieve efficient parallelization through structured linear…