In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Using advanced metasurfaces, researchers can now twist light to uncover hidden images and detect molecular handedness, ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

This important study looks into the effect of exogenous CoA on the response of TLR4-activated macrophages. Specifically, CoA enhances the LPS response by examining metabolomics, 13C tracing, and ...

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers, was ...

Unlike large-language models, which determine outputs based on statistical relationships between the words and phrases in their training data, world models predict ... "We aim to lift AI models from ...

Deep learning approach has been used extensively in image analysis tasks. However, implementing the methods in 3D data is a bit complex because most of the previously designed deep learning ...

SpAItial works on AI capable of generating interactive 3D environments from text The company’s mission is nothing short of cracking what some are calling the “holy grail” of AI models.

We train a feed-forward text-to-3D diffusion generator for human characters using only single-view 2D data for supervision. Existing 3D generative models cannot yet match the fidelity of image and/or ...

Explore how SynCity AI revolutionizes 3D game world creation, turning text into immersive environments with its 3D generation capabilities.

From GPS navigation systems to images of current events taking place on the other side of the planet, the world in 3D is becoming the next best thing to being there.