Do you find yourself coming into the office early every month just to create monthly reports? The days spent sighing, "This task again..." while being chased by endless data aggregation and ...

This repository provides the implementation of VLAD-BuFF, a novel approach to Visual Place Recognition (VPR). VPR plays a crucial role in many visual localization tasks and is often framed as an image ...

Antimicrobial resistance (AMR) is a global threat that can result in millions of deaths if preventive measures are not implemented. The global prevalence of deaths associated with bacterial AMR rose ...

Directed evolution leverages the principles of natural selection to engineer biomolecules with desired properties. Microbead-based approaches within water-in-oil emulsions have proven invaluable for ...

Interactions between amyloidogenic proteins drive the progression of neurodegenerative diseases, yet the molecular mechanisms remain unknown. In this work, we describe the crosstalk between amyloid-β ...

As a data scientist, I often find myself faced with large datasets that can be overwhelming at first glance. This is where aggregation and group operations come into play. These techniques allow me to ...

Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, U.K. Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 ...

Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping their data locally, and previous researches have empirically proven the ideal ...

Code is released. With better CUDA optimization, HAIS now only takes 339 ms on TITAN X, much better than the latency reported in the paper (410 ms on TITAN X). HAIS is an efficient and concise ...

Functional enrichment analysis is an analytical method to extract biological insights from gene expression data, popularized by the ever-growing application of high-throughput techniques. Typically, ...