What is spatial computing? How does spatial computing work? While traditional computing brings together data and logic in two dimensions, spatial computing brings together data, logic, and 3D-contextualized information to converge the physical and digital worlds more accurately. This is accomplished by...
Spatial computing merges digital data with the physical world in real time, enhancing mixed-reality interactions through devices like AR and VR headsets or smart glasses.
What is spatial computing? Spatial computing broadly characterizes the processes and tools used to capture, process and interact with three-dimensional (3D) data. Spatial computing is a technology defined by computers blending data from the world around them in a natural way. Spatial computing in a...
What is spatial computing? The concept of “spatial computing” is widely attributed to researcher Simon Greenwold, who coined the term in a 2003paper. Greenwold defines spatial computing as the “human interaction with a machine in which the machine retains and manipulates referents to real obje...
Spatial computing may seem like a new term Apple just invented, but it's been in use for a while. Here's everything you need to know about it, including AR, VR, and MR.
Space Ranger is a set of analysis pipelines that process Visium Spatial Gene Expression data with brightfield and fluorescence microscope images. Space Ranger allows users to map the whole transcriptome in formalin fixed paraffin embedded (FFPE) and fresh frozen tissues to discover novel insights into...
Find out how to create compelling spatial computing apps by embracing immersion, designing for eyes and hands, and taking advantage of depth, scale, and space. Explore multiview video playback in visionOS Learn how AVExperienceController can enable playback of multiple videos on Apple Vision Pro...
(VR) Prototyping: As AR and VR technologies become more mainstream, prototyping software is expanding capabilities to include immersive environment design and interaction testing. This reflects the demand for creating engaging and interactive user experiences that leverage spatial computing, highlighting the...
Spatial data science is a subset of data science. It’s wheredata science intersects with GISwith a key focus on geospatial data and new computing techniques. Location matters in data science using statistical computing to access, manipulate, explore, and visualize data. ...
Computational power and initial investment:Generative AI models require massive amounts of computing power for both training and operation. Many companies lack the necessary resources and expertise to build and maintain these systems on their own. This is one reason why much generative AI development ...