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

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

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.

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

Quantum Algorithms Prerequisites Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that ...

The HATRH is comprised of three, iteratively applied algorithms: a grouping algorithm to cluster assets into functional tiles, and two algorithms respectively related to group movement and individual ...

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 ...

Paris prosecutors requested information from social media platform X about its algorithm as part of a probe into organised gangs' possible tampering with an automated data processing system and ...