From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
GitHub

Inverted Search implemented in C using DSA concepts — Hash Table + Linked Lists for fast word indexing.

Inverted Search is a data-structure based C project that implements a fast word-search mechanism across multiple text files. The project uses Hashing + Linked Lists to build an Inverted Index, a ...
InfoWorld

Introduction to Java records: Simplified data-centric programming in Java

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...
InfoQ

Shadow Table Strategy for Seamless Service Extractions and Data Migrations

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
GitHub

Assignment 5 – Recurrences and Hash Tables

Understand and get familiar with the hash table data structure, along with its application in managing user accounts. For problems marked as (code), write a Java program that will be run by the ...
Wired

Undergraduate Disproves 40-Year-Old Conjecture, Invents New Kind of Hash Table

The original version of this story appeared in Quanta Magazine. Sometime in the fall of 2021, Andrew Krapivin, an undergraduate at Rutgers University, encountered a paper that would change his life.
Quanta Magazine

Undergraduate Upends a 40-Year-Old Data Science Conjecture

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...
InfoQ

Modeling Complex Data Structure in Golang Using Pointers, References, and Reverse Indices

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
C&EN

Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data

School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, PR China Coal Reservoir Laboratory of National Engineering Research Center of CBM Development & Utilization, ...