The LancetOpinion

Cloud computing for equitable, data-driven dementia medicine

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
The Johns Hopkins News-Letter

Sohini Ramachandran discusses population genetics and computational clustering algorithms

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...

Why a viral chart about AI-driven job destruction might actually be 'the stupidest chart in the world'

But TS Lombard economist Dario Perkins said inferring anything of value from the chart would actually be a mistake. Some pundits might be calling it "the most important chart in the world," Perkins ...

Chart Metrics vs. Cultural Mettle: Deconstructing the Narrative of Hip-Hop's "Fall"

The exit of “luther” reignites the contentious debate of rap’s commercial decline in 2025. While this theory is supported by ...
AZoBuild on MSN

AI Model Restores Lost Bridge Data to Improve Structural Safety

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Harmonizing Regulatory Data: Why Banks Need An Operating Model And Not Another Data Lake

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...
GitHub

javascript-data-structures

Javascript Data Structure & TypeScript Data Structure. Heap, Binary Tree, Red Black Tree, Linked List, Deque, Trie, HashMap, Directed Graph, Undirected Graph, Binary ...
IEEE

Material Performance Prediction and Mechanical Structure Optimization Design Algorithm Based on Multi-Source Heterogeneous Data Fusion

Abstract: Based on DL (Deep Learning) technology, this paper develops an advanced algorithm which can accurately predict the properties of materials, and applies it to the optimal design of mechanical ...
IEEE

Multi Source Heterogeneous Correlation Data Fusion Based on Graph Clustering and DFS Algorithm

Abstract: In multi-source heterogeneous correlated data, the correlation between data often needs to be established through multiple intermediate nodes or paths. This multi hop correlation may be lost ...