Scholars in inter-disciplinary fields like the Digital Humanities are increasingly interested in semantic annotation of specialized corpora.
Digital micromirror devices have gained popularity in wavefront shaping, offering a high frame rate alternative to liquid crystal spatial light modulators.
Optics
Large corpora are ubiquitous in today’s world and memory quickly becomes the limiting factor in practical applications of the Vector Space Model (VSM).
This digital book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations.
Distributed Ledger Technologies (DLTs), when managed by a few trusted validators, require most but not all of the machinery available in public DLTs.
Distributed, Parallel, and Cluster Computing
In recent work, Lemire (2021) presented a fast algorithm to convert number strings into binary floating-point numbers.
Data Structures and Algorithms
The surging amount of biomedical literature & digital clinical records presents a growing need for text mining techniques that can not only identify but also semantically relate entities in unstructured data.
Ranked #1 on Relation Extraction on 2018 n2c2 posology
Current state-of-the-art $k$-medoids clustering algorithms, such as Partitioning Around Medoids (PAM), are iterative and are quadratic in the dataset size $n$ for each iteration, being prohibitively expensive for large datasets.
We show how to obtain the ground-truth data with optically zoomed images and contribute a dataset, SR-RAW, for real-world computational zoom.
As smart contracts cannot be updated after deployment, it is imperative that the programming language supports the development of robust contracts.
Programming Languages Cryptography and Security