Open vocabulary recognition and classification are crucial for a comprehensive understanding of real-world 3D scenes.

However, effectively integrating semantic understanding into 3DGS in a generalizable way remains a challenge. To overcome these bottlenecks, we introduce SceneSplat, the first end-to-end large-scale ...

By using explainable AI, the study identifies not only which skills define each cluster but also the relative importance of these skills in classification decisions. This level of interpretability ...

Background SLE is an autoimmune disease that varies across ethnic populations and the regions that cause economic burdens, but nationwide epidemiological data for Thailand are lacking.Objective To ...

Embed compliance early in device development to meet safety, security and performance standards while safeguarding market ...

Recent studies have found that compared to single-modal data, the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) multimodal data can use their complementary ...

That’s why the industries racing to automate data management with AI are under growing pressure to put humans back in the loop. Human-in-the-loop (HITL) is no longer a niche safety net—it’s becoming a ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the ...

Therefore, developing a reliable, explainable, and automated system to identify seizure types is necessary. This study aims to automate the process of classification of five seizure types: focal ...

Artificial intelligence is changing how we study dinosaurs. Scientists use AI to rebuild fossils and create realistic images.