Surge pricing is broken, but there’s a smarter way to match gig workers with consumers

Rather than chasing dollars, gig workers are micro-entrepreneurs who perform a strict ‘mental audit’ of every single task to ...
Asbarez

Old Ideas, New Discoveries: Armenian Statistical Methods Find New Applications in Astronomy and Cosmology

Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...

Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
BMJ Global Health

Clustering of countries based on national essential medicines lists: cross-sectional study

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...
IEEE

TDEC: Evidential Clustering Based on Transfer Learning and Deep Autoencoder

Abstract: Evidential clustering is a promising clustering framework using Dempster–Shafer belief function theory to model uncertain data. However, evidential clustering needs to estimate more ...
IEEE

Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors

Abstract: The density peaks clustering algorithm is one of the density-based clustering algorithms. This algorithm has several advantages, including not requiring a preset number of clusters, ...

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...
Ars Technica

Contrary to popular superstition, AES 128 is just fine in a post-quantum world

With growing focus on the existential threat quantum computing poses to some of the most crucial and widely used forms of encryption, cryptography engineer Filippo Valsorda wants to make one thing ...
Scientific Research Publishing

Huang, Z. (1997) A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. Data Mining and Knowledge Discovery, 3, 34-39.

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...
Wired

A New Algorithm Makes It Faster to Find the Shortest Paths

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Smithsonian Magazine

An Enormous, Branching String of Galaxy Clusters Is the Largest Known Structure in the Universe, Scientists Say

An impression of the large-scale structure of the universe, showing galaxy clusters and superclusters arranged in long filaments and concentrated at nodes. Mark Garlick / Science Photo Library via ...