Leveraging an internally developed machine learning-based bioinformatics algorithm alongside rigorous in-house experimental validation, CStone identified elevated ITGB4 expression across multiple ...

Still, it reflects that we're constantly flooded with data and information segmented by algorithms ... we risk introducing biases into design decisions and material selection.

The panel was titled “Can Biased Humans Design Unbiased Algorithms?” Let me start by acknowledging ... there are human-computer interface issues to consider with the implementation of such tools.

Gene Expression Programming (GEP) is a popular and established evolutionary algorithm for automatic generation of computer programs and mathematical models. It has found wide applications in symbolic ...

To bring these algorithms to the classroom, we have created interactive computer programs and simulations that we call culturally situated design tools, or CSDTs. Each CSDT was created in ...

Smart Policy Design and Implementation, which involves many elements of the Future of Government Framework, can help governments optimally refine the process of delivering policies that benefit ...

it provides a new and complex domain for researching advanced algorithms and techniques for data analysis. Nevertheless, bioinformatics also poses a great challenge to grasp for both computer science ...

To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available ... and analytic results to and from FlowJo. We chose Python as the ...

The answer to that question is actually the same as one as when you are designing a machine-learning algorithm – the contract becomes ... Yet a general framework to design and analyze loss functions ...