Machine learning engineering is a branch of engineering that implements ongoing data science developments to address complicated or intricate problems with large amounts of disparate data to create cost-effective and far-reaching benefits.

Exascale computers are the world’s fastest supercomputers. They hold a performance of at least one exaflop, or one quintillion calculations per second. Combined with simulation, they are positioned to help tackle some of the world’s greatest challenges, which pertain to topics such as national security, climate, medicine, energy, and water.

At the intersection between quantum mechanics and computer and information science lies at quantum information science (QIS). QIS seeks to understand how information is processed and transmitted using quantum mechanical principles. It is the merger of quantum mechanics and information and computation theory. QIS comprises four major areas: quantum computing, quantum communication, quantum sensing, and quantum foundational science.

Bioinformatics uses computers to make sense of the vast amount of data researchers can now glean from living things. These things can be as seemingly simple as a single cell or as complex as the human immune response. Bioinformatics is a tool that helps researchers decipher the human genome, look at the global picture of a biological system, develop new biotechnologies, or perfect new legal and forensic techniques, and it will be used to create the personalized medicine of the future.

Graph analytics is the evaluation of information that has been organized as objects and their connections. The purpose of graph analytics is to understand how the objects relate or could relate.