OOP the Easy WayObject-Oriented Programming the Easy Way: a manifesto for reclaiming OOP from three decades of confusion and needless complexity.
Category Archives: AI
About this paper Input-Output Maps are Strongly Biased Towards Simple Outputs, Kamaludin Dingle, Chico Q. Camargo and Ard A. Louis, Nature Communications 9, 761 (2018). Notes On Saturday I went to my alma mater’s Morning of Theoretical Physics, which was … Continue reading
Structured Pruning of Deep Convolutional Neural Networks, Sajid Anwar et al. In the ACM Journal on Emerging Technologies in Computing special issue on hardware and algorithms for learning-on-a-chip, May 2017. Notes Quick, a software engineer mentions a “performance” problem to … Continue reading
The Difference Engine – the Charles Babbage machine, not the steampunk novel – is a device for finding successive solutions to polynomial equations by adding up the differences introduced by each term between the successive input values. This sounds like … Continue reading
About this paper Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function), Peter Eckersley. Submitted to the ArXiV on December 31, 2018. Notes Ethical considerations in artificial intelligence applications have arguably … Continue reading