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
We may never be able to tell if AI becomes conscious, argues philosopher
A University of Cambridge philosopher argues that our evidence for what constitutes consciousness is far too limited to tell if or when artificial intelligence has made the leap—and a valid test for doing so will remain out of reach for the foreseeable future.
SAM Audio: the first unified model that isolates any sound from complex audio mixtures using text, visual, or span prompts
SAM-Audio is a foundation model for isolating any sound in audio using text, visual, or temporal prompts. It can separate specific sounds from complex audio mixtures based on natural language descriptions, visual cues from video, or time spans. https://ai.meta.com/samaudio/ https://huggingface.co/collections/facebook/sam-audio https://github.com/facebookresearch/sam-audio submitted by /u/fruesome [link] [comments]
GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing
Editing images using natural language instructions has become a natural and expressive way to modify visual content; yet, evaluating the performance of such models remains challenging. Existing evaluation approaches often rely on image-text similarity metrics like CLIP, which lack precision. In this work, we introduce a new benchmark designed to…
Palantir and L3Harris
Reindustrializing Defense Through AI-Powered Production Editor’s Note: This is a joint blog post written by Palantir and L3Harris about our partnership to reindustrialize America’s defense industrial base. Introduction The challenge facing America’s defense industrial base is not just about speed — it’s about rebuilding the foundation that makes speed possible. Our nation’s…