MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

The app is expected to operate on a separate algorithm and data system and users outside the US would not find this version in their app store, sources said.

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

This has revealed previously hidden structures within the universe's first galaxies, which could help us understand how the modern cosmos, including our galaxy, the Milky Way, took shape.

Determining complete atomic structures directly from microscopy images remains a long-standing challenge in materials science. MicroscopyGPT is a vision-language model (VLM) that leverages multimodal ...

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere and telescope to reach its sensor.

Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in ...

California's data privacy agency and several politicians are folding from pressure by business interests and pushing to weaken protections.

This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University. Data ...

This data consistency and an iterative denoising (pre-denoising) approach can significantly improve the quality of the final images.