AI-Driven Spatial Computing: a Real-Time Revolution That Blurs Physical and Virtual Worlds

A few short years ago, spatial computing was the hottest trend in tech – until AI pierced the public consciousness and started hogging all the headlines. But spatial computing hasn’t disappeared, and in fact, artificial intelligence is now very much a part of its tech stack alongside AR (augmented reality), VR (virtual reality), and MR (mixed reality). You could even say that it’s spatial computing’s rocket fuel.

Broadly speaking, spatial computing is about fusing physical and virtual realms to create an “immersive technology ecosystem for humans to more naturally interact with the world” (Deloitte). While some would argue that interacting naturally with the world should mean less technology, not more, the benefits of spatial computing are extensive, which is why the market is projected to hit $280 billion by 2028.

So, how exactly is AI helping to potentiate the powers of spatial computing? Read on to find out. 

AI-Powered R(e)volution

To some, spatial computing means VR headsets, AR overlays, and holographic work meetings. To others, it’s about machine proprioception, whereupon physical robots can perceive and interact with our 3D world in real time. Whatever the term means to you, it’s hard to ignore the fact that AI is making spatial computing smarter, faster, and more immersive.

Advancements in machine learning (ML) and natural language processing (NLP) represent a moonshot for the spatial computing scene, not least because AI can ingest, store, and interpret vast volumes of data generated by wearable devices. 3D model simulations – the digital twins that enable organizations to run what-if scenarios to nail the best course of action – are enriched by the integration of AI and the insights it gleans.

disaster preparedness to scientific research.”