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Unconventional Computing

Jan 8, 2019

Big Data has transformed the way that business is conducted in recent years, from Internet-based startups to blue chip standbys such as IBM and Wal-mart. However, many of the machine learning tools that have enabled this transformation are not capable of solving complex biomedical problems, which often have their...


Dec 21, 2018

Constrained counting is a fundamental problem in artificial intelligence, with applications in probabilistic reasoning, inexact computing, and statistical physics. In today’s episode, we will learn about research at Rice which studies how graph decompositions and tensor network contraction can be used to solve...


Constrained Counting with Jeff Dudek

Dec 21, 2018

Constrained counting is a fundamental problem in artificial intelligence, with applications in probabilistic reasoning, inexact computing, and statistical physics. In today’s episode, we will learn about research at Rice which studies how graph decompositions and tensor network contraction can be used to solve...


Dec 6, 2018

Monolithic commodity operating systems (OSes), like Windows, Mac OS X, Linux, and FreeBSD, lack sufficient protection mechanisms with which to adhere to Critical information protection design principles. Today we will learn about the nested kernel architecture, a new OS organization that provides important security...