The model, called SHARP, can reconstruct a photorealistic 3D scene from a single image in under a second. Here are some examples.

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 ...

Swaptions and constant maturity swap spread options are essential to calibrating interest rate models yet remain computationally demanding. Toufik Bellaj, Khalid Bellaj and Hicham Nait Yahia propose a ...

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 ...