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
This simple change stops robot swarms from getting stuck
In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching…
Kinematic intelligence lets three different robots learn the same task safely
In today’s manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, but also reprogramming tasks. Even when two robots are built to perform similar jobs, different joint arrangements or movement limits mean that a task programmed for one robot often can’t be used on another.…
We may have a new SOTA open-source model: ERNIE-Image Comparisons
Base model is definitely SOTA, can even easily compete with closed-source ones in terms of aesthetic. Cinematic quality and color grading is next level. Base model is heavily biased on Asian faces, while it excels on anime/illustration style, while my base model anime/illustration experiments wasn’t that good. Higher CFG is…
Navigating the generative AI journey: The Path-to-Value framework from AWS
Generative AI is reshaping how organizations approach productivity, customer experiences, and operational capabilities. Across industries, teams are experimenting with generative AI to unlock new ways of working. Many of these efforts produce compelling proofs of concept (POC) that demonstrate technical feasibility. The real challenge begins after those early wins. Although…