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

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Greedy Algorithms Randomized Algorithms Approximation Algorithms Data Structures Balanced Trees Hashtables Amortized Analysis Union-Find Data Structures Fibonacci Heaps Graph Algorithms Shortest Path ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

In the evolving landscape of blockchain technology, auditors face the challenge of reconciling its decentralized nature with stringent data privacy laws.

A new combination of inputs for the estimation of left ventricular filling pressure has shown to outperform those from guidelines published in 2016.

A cycle counting algorithm that will reduce a complex history into a series of discrete cycles is presented. The cycles determined by this technique are defined as closed stress-strain hysteresis ...