1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

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 ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

CMS employed machine learning to probe rare Higgs decays into charm quarks. The search produced the most stringent limits so ...

Uber is leveraging its Indian driver network for AI data labeling, offering them extra income through micro-tasks within the ...

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

AI productivity tools that can change how you work online help streamline tasks and boost efficiency for remote teams.

A new study published in PLOS Digital Health suggests that hate speech and misinformation on Reddit may reflect language ...

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, United States ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...