Technical perspective: Compressing matrices for large-scale machine learning.
Quantum hype and quantum skepticism.
Like old times.
Online event processing.
Continuity and change in internet law.
Questioning quantum.
Algorithmic randomness.
Achieving digital permanence.
Countering the negative image of women in computing.
Implementing guidelines for governance, oversight of AI, and automation.
What does it mean for a computing curriculum to succeed?
Don't ignore the cost of 'embedded energy'.
Deep insecurities: the internet of things shifts technology risk.
APIs, standards, and enabling infrastructure.
Net neutrality: unexpected solution to blockchain scaling.
The limit of blockchains: infeasibility of a smart Obama-Trump contract.
Encryption and surveillance.
Code talkers.
Enterprise wi-fi: we need devices that are secure by default.
Compressed linear algebra for declarative large-scale machine learning.