Intrinsic dimensionality estimation seeks to determine the minimum number of variables required to describe the structure underlying high-dimensional datasets. By identifying the true manifold that ...

We had an interesting term recently in our AI ventures class that caught my attention – dimensional AI. What is dimensional AI? It turns out that my friend Ramesh Raskar, who runs a group at the MIT ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

The t-SNE ("t-distributed Stochastic Neighbor Embedding") technique is a method for visualizing high-dimensional data. The basic t-SNE technique is very specific: It converts data with three or more ...

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, compact, and transferable latent ...