Sophisticated web crawlers and extraction tools have enabled developers to harvest fresh data at scale from hundreds of ...

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...

A consensus algorithm is the rule a distributed network follows to agree on which new block is added to a blockchain, so every honest node ends up with the same ledger without trusting any single ...

Simple C# application to illustrate the algorithm of approximating a cubic bezier curve with biarcs. The algorithm is explained in the blog post at http://dlacko.org ...

Some of our astute readers noticed an apparent anomaly in the graph comparing the complexities of Shor’s algorithm and GNFS in the original blog. Specifically, it seemed as though GNFS (General Number ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...

Edit distance—a classical problem in computer science—has received ongoing attention from both practitioners and theoreticians. Given two strings A and B, the edit distance is the minimum number of ...

Tech companies acknowledge machine-learning algorithms can perpetuate discrimination and need improvement. By Zachary Small The artist Stephanie Dinkins has long been a pioneer in combining art and ...

In order to realize the real-time control of photovoltaic power generation smoothly connected to the grid under the condition that the energy storage equipment can operate safely, a control strategy ...