So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

However, data is the fuel of Artificial Intelligence. AI needs vast amounts of data in order to start generating usable insights. Large Language Models (LLM) are a subset of AI where the algorithm is ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

In 1960, a 23-year-old Soviet mathematician named Anatoly Karatsuba stunned the world of mathematics with a revolutionary ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But ...

Up until this point, the machine learning algorithms have pretty much remained exactly the same. But once a single computer is no longer enough to handle the data volume, the only option is to ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Tainted Data Can Teach Algorithms the Wrong Lessons Researchers show how AI programs can be sabotaged by even subtle tweaks to the data used to train them. Illustration: Elena Lacey; Getty Images ...

In contrast to other big quantum data algorithms 31, 32, 33, the size of the qRAM required to perform topological and geometric analysis is relatively small: because the computational complexity ...

Algorithms are all around us, utilizing massive stores of data and complex analytics to make decisions with often significant impacts on humans. They recommend books and movies for us to read and ...