A long standing goal in neuroscience has been to elucidate the functional organization of the brain. Within higher visual cortex, functional accounts have remained relatively coarse, focusing on ...

A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing ...

This is a list of some men's names found in a catalog of passengers from Spain to the Americas from the 16th century. Each name is preceded by its percentage of the total number of names in the ...

The page provides information about the Principles of Imperative Computation course at Carnegie Mellon University, its activities, and related updates.

I am now an Assistant Professor in Computer Science at Clarkson University in the town of Potsdam in beautiful Upstate New York. Please visit my new website, where you can find my current contact ...

I am currently working at Snowflake as a Postdoctoral Research Fellow. I will join Tsinghua IIIS as an Assistant Professor in Spring 2021. I received my Ph.D. degree from the Computer Science ...

This webpage will be mostly static, except for postings of the problem sets and course notes. Please read the course blog regularly, or subscribe to it via email, or add it to your favorite feed ...

From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding ...

I am a research scientist at Google Brain. I graduated from SCS of CMU, with a PhD in Machine Learning and an MSc in Lanugage Technologies, advised by Jaime Carbonell and Alex Smola.

At some point in their careers, most CS and ECE students will develop software or hardware that must be ultra reliable. Logical errors in such designs can be costly, even life threatening. There has ...

My research interests are in applying programming language technology to improve the development, maintenance, and performance of software systems. I am particularly interested in type theory for ...

The GENETIC ALGORITHM is a model of machine learning which derives its behavior from a metaphor of the processes of EVOLUTION in nature. This is done by the creation within a machine of a POPULATION ...