Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond. https://econ.st/3ZgDHLo
eric ngoiya
2 小时前
Bridging the gap between the natural and the digital.
Digital Transformation & Business Analytics Consultant | MBA in Marketing & Analytics
1 天前3d and the context of everything in relativity to everything else - proximities - measurements and labs components and their relative shifts as functions of time - and so forth Hold nearly the answers to everything and certainly can be configured to deliveries simply not realisticly beat - Will be good when there's more of embracing that the ai leveraging constitued higher baselines and floors - enabling greater prospects reachable - vs a "substitute good" Inevitable is inevitable- 3d constellations and gauging everything in relativity to other components and their shifts as functions of time, against benchmarks from aggregate records functions of time, and further to all these other configurations and intricacies that together like clockwork hold the 99.99% answers and certainty we so much need more of for interventions and so forth You know the omnipresent rollouts where "nobody could have seen that coming" and comportment as if these things are like throwing cards in the air and 9 of 10 do better with x as if there's not actual determinant differentiations At best theirs integrations of odds in mxms in constellations but even that is all scientifically explainable if incorporating all variables. Timing can get tricky