Spatial learning has never suffered from a shortage of compelling use cases. Anatomy, chemistry, engineering and many other subjects are inherently three-dimensional (3D), yet students are still often asked to learn and understand them through text, two-dimensional diagrams or flat video. The main obstacle has been economics: creating enough high-quality interactive 3D content to cover an ordinary curriculum that has traditionally required specialized artists, developers and considerable… [...]
For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity [...]
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after trai [...]
When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbab [...]
At CES last year, Sony teased an AR/VR headset prototype focused on “spatial content creation.” And at the same time, Siemens announced it was working with Sony to use that same hardware, includin [...]
Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model [...]
Apple and Metallica have teamed up to bring a free, immersive experience from one of the band's concerts to Apple Vision Pro. Starting on March 14, owners of the headset will be able to watch liv [...]