The Air Force is seeking an entrepreneurial innovator to develop technology to analyze the conduct of insiders to determine if they pose a threat to government IT systems. In a call for proposals ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

AI-based OCT image analysis of thin-cap fibroatheromas captures ‘the complete picture, not just the angiographic hotspot.’ ...

However, algorithms are not a perfect answer. There are biases behind the data, and the construction of models is based on ...

HistoQuest is a brightfield image analysis software for the FACS-like analysis of samples stained with immunohistochemical or histochemical stains.

'Minimalist machine learning' algorithms analyze images from very little data CAMERA researchers develop highly efficient neural networks for analyzing experimental scientific images from limited ...

TissueQuest is an image analysis software for the FACS-like analysis of samples stained with immunofluorescent stains.

Scientists looking for ways to stimulate the growth of neurons can spend hours painstakingly analyzing microscope images of cells growing in petri dishes. A new algorithm developed by Brown ...

The increased focus on heuristics for the approximate solution of integer programs has led to more sophisticated analysis methods for studying their performance. This paper is concerned with the worst ...

Statistical Analysis Algorithms for Links Circa 2004 Google began to employ link analysis algorithms to try to spot unnatural link patterns.

Implicity announced the FDA cleared its algorithm analyzing ECG data from implantable loop recorders.Implantable loop recorders are used to detect atrial fibrillation in patients at high risk for ...