Apple released SHARP, an open source model that generates photorealistic 3D scenes from a single 2D photo in under a second | ...

The generation of synthetic market data is widely seen as one of the most promising applications of sophisticated artificial intelligence models, such as generative adversarial networks (GANs) and ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 52, No. 4 (2003), pp. 487-498 (12 pages) Rainfall data are often collected at coarser spatial scales than required for ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Simulated prostate treatment plan in the simple heterogeneous phantom. (Courtesy: J. Appl. Clin. Med. Phys. 10.1002/acm2.12535/CC BY 4.0) A new treatment planning system (TPS) for proton therapy has ...

The ground-level concentration profiles, derived from the analytical solution of the atmospheric diffusion equation for a line source and for the wind speed and vertical dispersion coefficient ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. What this paper reveals that really stands out is that the quant community also didn’t, and doesn’t, rate the ...