Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...