Some of the best writing in computer science isn’t found in the pages of research journals; this is a partial collection of my favourites.

Machine Learning

• Talking Machines: Katherine Gorman and Ryan Adams’ fortnightly podcast about all things ML.  Includes in-depth interviews with doyens of AI and snappy summaries of key techniques.

High Performance Computing

• Fooling the masses with performance results on parallel computers (Georg Hager): an excellent update of David Bailey’s Twelve Ways to Fool the Masses When Giving Performance Results on Parallel Computers; learn how to confuse any audience about mediocre performance results.

Computer Architecture

• Programming with RISC-V Vector Instructions (Georg Sauthoff); a good explanation of why length-agnostic vector instructions improve throughput and architectural portability

Numerical Computing

• Introduction to Automatic Differentiation (Alexey Radul): the advantages, subtleties and pitfalls of AD.

Programming Languages

• Learn You A Haskell for Great Good! (Miran Lipovača): a beautifully presented and engaging introduction to a sometimes-challenging language.