An algorithm, which determines the range of a preceding vehicle by a single image, had been proposed. It uses a "Range-Window Algorithm". Here in order to realize higher robustness and stability, the ...

When it comes to DNA analysis, large-scale pattern matching algorithms are constantly being refined to add a performance and efficiency boost to speed the time to result and accordingly, the practical ...

We introduce a pattern-matching technique for efficient identification of fluorophore ratios in complex multidimensional fluorescence signals using reference fluorescence decay and spectral signature ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

Among the most elementary examples of machine learning is the one Google provides on identifying iris flowers via its Tensorflow machine learning framework. Artificial intelligence (AI) practitioners ...

Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.

Google is exposing some of its internal projects to developers as cloud APIs. After giving away TensorFlow, a machine learning service, Google is now opening up access to the image recognition engine ...

This paper describes an exact algorithm for the fixed charge transportation problem based on a new integer programming formulation that involves two sets of variables representing flow patterns from ...