Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

Abstract: Keratoconus affects approximately one in 2,000 individuals worldwide. It is typically associated with the decrease in visual acuity. Given its wide prevalence, there is an unmet need for the ...

Abstract: Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face ...

Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...

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.

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...