What is Computational RAM?

The computational knowledge economy is an economy 'where value is derived from the automated generation of knowledge. The term was coined by Conrad Wolfram to describe the extension to the...

In mathematics, computational group theory is the study ofgroups by means of computers. It is concernedwith designing and analysing algorithms anddata structures to compute information about groups. The subjecthas attracted...

In computational complexity theory, asymptotic computational complexity is the usage of asymptotic analysis for the estimation of computational complexity of algorithms and computational problems, commonly associated with the usage of...

Computational steering is the practice of manually intervening with an otherwise autonomous computational process, to change its outcome. The term is commonly used within the numerical simulation community, where it...

Computational human modeling is an interdisciplinary computational science that links the diverse fields of artificial intelligence, cognitive science, and computer vision with machine learning, mathematics, and cognitive psychology. Computational human...

Group actions are central to Riemannian geometry and defining orbits. The orbits of computational anatomy consist of anatomical shapes and medical images; the anatomical shapes are submanifolds of differential geometry...

Computational anatomy is the study of shape and form in medical imaging. The study of deformable shapes in computational anatomy rely on high-dimensional diffeomorphism groups...

The Tri-Institutional Training Program in Computational Biology and Medicine or Tri-I CBM is a PhD program that exists as a partnership between the Weill Cornell Medical College , Rockefeller University,...

Computational epistemology is a subdiscipline of formal epistemology that studies the intrinsic complexity of inductive problems for ideal and computationally bounded agents. In short, computational epistemology is to induction what...

In computational complexity and cryptography, two families of distributions are computationally indistinguishable if no efficient algorithm can tell the difference between them except with negligible probability.