TidBITS

Reading Doesn’t Fill a Database, It Trains Your Internal LLM

Many of us think of reading as building a mental database we can query later. But we forget most of what we read. A better analogy? Reading trains our internal large language models, reshaping how we ...
InfoQ

Pinterest’s CDC-Powered Ingestion Slashes Database Latency from 24 Hours to 15 Minutes

Pinterest launched a next-generation CDC-based database ingestion framework using Kafka, Flink, Spark, and Iceberg. The system reduces data availability latency from 24+ hours to 15 minutes, processes ...
IEEE

uitSQLid: SQL Injection Detection Using Multi Deep Learning Models Approach

Abstract: Injection attack is the most common risk in web applications. There are various types of injection attacks like LDAP injection, command injection, SQL injection, and file injection. Among ...
IEEE

Predictive Analytics in Mental Health: Machine Learning Models for Major Depressive Disorder Detection using Sensor Data

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...