That’s right – as of Episode 016, we’re available as both sound waves in your […]
101 links for learning Spatial AI, covering people and companies to follow, podcasts and YouTube series, software to learn and books to read.
Oh Apple. The pain – the anguish! – of not being on the leading edge of your new world of spatial computing… is real. As an Australian, I can only watch from afar, as we’re beginning to see the flood of first-hand reports and reactions to your new flagship device: the Apple Vision Pro.
Answering the question “What is Spatial AI?” with a 3D mindmap, outlining the connections between the wide range of topics that make up this emerging field. Fully editable by you via a GitHub-hosted public repository.
Another entrant in the backronym-of-the-year award, released in late 2023 is HaMeR: Hand Mesh Recovery, from the Universities of Berkeley, Michigan and New York.
Reconstructing hands is 3D space is an important component of our non-verbal communications. See above for the quintessential Italian experience.
This week, NVIDIA Research Labs unveiled WYSIWYG – What you See Is What You GAN – a model led by Alex Trevithick – an *intern* at the time.
The main focus on WYSIWYG is the ability to simultaneously generate super-resolution 2D RGB images AND massive polygon count/near-perfectly normalised 3D meshes.
Machine learning is revolutionizing weather forecasts, moving from country-specific predictions to global pattern predictions, and pushing accuracy closer to traditional methods. WeatherBench 2, a new open platform, lets researchers rigorously compare models and accelerate progress for better weather predictions worldwide.
Spatial AI is a new term for a new and emerging field, created by the overlap of other emerging fields.
At its simplest, Spatial AI is the Venn Diagram where Spatial Computing and AI overlap – the intersection of Spatial Computing and Geospatial on one side, and AI/ML and Data Science on the other side.
Importantly, there is a third field that interacts with both these, which brings the human element to what could otherwise be a very clear cut scientific definition.
New from researchers at Tsinghua University and Harvard University comes LangSplat – a method of integrating a natural language search capability over a segmented NeRF – some 200 times faster and orders of magnitude more accurate than its predecessor.
Violet Whitney, Adjunct Professor at Columbia University, U Mich and U Penn, is one of the amazing co-hosts at SPAITIAL, bringing her extensive knowledge and experience in Spatial and Embodied Computing.