The trajectory of books about new technologies follows a similar pattern: first, hype; then, backlash; then, finally, a more considered view of what it might actually be good for. The first hype ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

In his book, The Art of Computer Programming, Donald Knuth describes algorithms as a confusing word. Learning about algorithms, it’s easy to agree with this description.

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

Students interested in further readings can look at the books below: D Bertsimas and J N Tsitsiklis, Introduction to Linear Optimization, Athena Scientific, 1997. S Boyd and L Vandenberghe, Convex ...

None of this will occur, however, without the enablement of flexible AI programming languages. Such programming languages are indispensable for writing AI algorithms bolstered by quantum computing ...

Kartik Hosanagar is a John C. Hower Professor of Technology & Digital Business and a professor of Marketing at Penn. In his new book, Wharton professor Kartik Hosanagar wants to start a new ...

Jeremy Johnson: Computer algebra, design and analysis of algorithms, programming languages and compilers, automated performance tuning, algorithms for DSP, parallel processing, and high-performance ...

The graph below shows the total number of publications each year in Probabilistic Programming and Inference Algorithms. References [1] On the hardness of analysing probabilistic programs .