Bastiaan Quast is een onderzoeker op het gebied van informatietheorie uit Zürich. Hij schrijft over kunstmatige intelligentie, homomorfe encryptie, dataverwerking en biedt praktische Python- en R-pakketten aan voor onderzoek en ontwikkeling.
10 articles from this blog
Explains the key difference between AI models and algorithms, using linear regression and OLS as examples.
An article explaining homomorphic encryption, a method for performing computations on encrypted data without decryption, with a practical example in R.
Explains the modulo operation using real-world examples like days of the week, clock time, and calendar dates.
A technical tutorial demonstrating how to implement the BGV homomorphic encryption scheme using the R programming language.
Explains homomorphic encryption with a real-world medical example and a simple toy example to show how computations can be performed on encrypted data.
A tutorial on performing CKKS homomorphic encryption encoding and decryption on complex numbers using R and the HomomorphicEncryption package.
Announcing HEtools, a new Python package for Fully Homomorphic Encryption (FHE) development, now available on PyPI.
Announcing libactivation, a new Python package on PyPI providing activation functions and their derivatives for machine learning and neural networks.
Announcing the release of the 'transformer' R package on CRAN, implementing a full transformer architecture for AI/ML development.
An implementation of the BFV homomorphic encryption scheme using the R programming language, including code and helper functions.
