Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

May. 2nd, 2024: Vision Mamba (Vim) is accepted by ICML2024. 🎉 Conference page can be found here. Feb. 10th, 2024: We update Vim-tiny/small weights and training scripts. By placing the class token at ...

Scientists have uncovered an unexpected breakdown of nuclear order in a remarkably symmetric atom, challenging long-standing ...

A multi-university research team, including the University of Michigan in Ann Arbor, has developed A11yShape, ...

Abstract: Visual odometry (VO) is a key part of autonomous navigation systems, particularly for robots and autonomous vehicles. Conventional feature-based or direct approaches for VO are powerful but ...