Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the
brain's structure to offer a powerful and efficient processing and learning model. In HDC, the …

Integral transforms are invaluable mathematical tools to map functions into spaces where
they are easier to characterize. We introduce the hyperdimensional transform as a new kind …

Advances in bioinformatics are primarily due to new algorithms for processing diverse
biological data sources. While sophisticated alignment algorithms have been pivotal in …

Mass spectrometry-based proteomics is a key enabler for personalized healthcare,
providing a deep dive into the complex protein compositions of biological systems. This …

Motivation: Genomic distance estimation is a critical workload since exact computation for
whole-genome similarity metrics such as Average Nucleotide Identity (ANI) incurs exhibitive …

Machine learning methods lean on fundamental concepts from statistics and mathematical
optimization. They have shown incredible power, leading to people attributing intelligence to …