Learn from Stanford's Dr. Fei-Fei Li. Her exclusive MasterClass reveals the next wave of spatial intelligence AI and how it ...

Advances in virtual and augmented reality, spatial computing, and other technologies offer chances to work with data more ...

Students will use AI. The challenge is teaching them to use it in ways that strengthen learning. Educational psychology ...

Abstract: Coordination in traffic signal control is crucial for managing congestion in urban networks. Existing pressure-based control methods focus only on immediate upstream links, leading to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: With thousands of observation satellites orbiting the Earth, massive-scale ultrahigh-definition (UHD) images are captured daily, covering vast areas of land, often extending across millions ...

libspatialaudio is an open-source, real-time and cross-platform C++ library for spatial audio encoding, decoding and rendering. It provides a unified framework for working with different spatial audio ...

SpaHDmap is based on a multi-modal neural network that takes advantage of the high-dimensionality of transcriptomics data and the high-definition of image data to achieve interpretable high-definition ...

While mundane viewed from the outside, the experience of being in a Cisco Spatial Meeting is one of immersive immediacy, realizing Cisco's goal of Distance Zero. Perhaps the most disorienting part of ...

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...