Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

AI, as it’s built now, does not have thoughts. It makes informed guesses. The transformers underlying today’s models are ...

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...

The most recent call for proposals for the Starting Grants offered by the European Research Council (ERC) saw a successful ...

Multidimensional data arise when a number of different response variables are required to measure the outcome of interest. Examples of such outcomes include quality of life, cognitive ability, and ...

Boston College will begin recruiting the first class for its highly anticipated Human-Centered Engineering program, a major that will integrate BC’s core liberal arts focus and a rigorous engineering ...

Getting the most out of A/B and other controlled tests by Ron Kohavi and Stefan Thomke In 2012 a Microsoft employee working on Bing had an idea about changing the way the search engine displayed ad ...

Abstract: Lossy image compression is a fundamental technology in media transmission and storage. Variable-rate approaches have recently gained much attention to avoid the usage of a set of different ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: Arithmetic Optimization Algorithm (AOA) has attracted considerable attention owing to its efficient search mechanism; however, it still exhibits deficiencies in optimization accuracy and ...