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 ...

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.

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...

Despite growing interest in the use of complex models, such as machine learning (ML) models, for credit underwriting, ML models are difficult to interpret, and it is possible for them to learn ...

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 ...

ECCV 2026, the 19th European Conference on Computer Vision, opens September 8-12 in Malmo, Sweden with 2,883 accepted papers and a record 86 workshops. Yann LeCun keynotes on world models; Kristen ...

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 ...

Whether machines, production halls or art exhibitions: at the Hannover Messe, exhibitors such as MR4B, CMC Engineers, and Fraunhofer IAO showed how they envision spatial visualization in 2026. In ...