
Explores surveillance challenges for whistleblowers, analyzing evidence used in US prosecutions and discussing global implications for privacy and information security in the digital age.

Explore evolving ransomware threats and tactics, analyzing data from thousands of incidents to provide deep insights and contrarian perspectives on this critical cybersecurity issue.

Explore website fingerprinting attacks using cache side-channel techniques to compromise user privacy, even on secure networks like Tor. Learn about this novel approach from cybersecurity researcher Anatoly Shusterman.

Learn to build a security platform using Elastic Stack. Explore basic components, data ingestion tools, data management, and cluster security. Gain insights from an experienced developer on leveraging SIEM for effective security monitoring.

Explore Android's bootable recovery mode to create custom tools for security testing, forensics, and device modification. Learn to build and customize recovery images for various Android devices.

Análisis de latencia para detectar ataques de suplantación mediante VPN. Sistema de perfilado de conexiones usando Machine Learning y Deep Learning, logrando hasta 88.3% de efectividad en detección.

Técnicas OSINT y SOCMINT para obtener información valiosa en investigaciones. Incluye teoría y práctica con ejercicios en vivo de análisis de redes sociales para extraer inteligencia procesable.

Yas García explora el programa de Media Chicas para impulsar la participación femenina en ciencia y tecnología, abordando la brecha de género en STEM y fomentando oportunidades en Data Science.

Enfoque basado en datos para detectar amenazas globales, reduciendo falsos positivos y permitiendo identificar actividad inusual en miles de dispositivos. Prueba de concepto avanzada en el programa MVISION EDR.

Explore new attack vectors in Big Data infrastructure layers, addressing the lack of security assessment methodologies and technical resources for this rapidly growing field.

Explore declarative data manipulation in functional programming using Meander, a Clojure library inspired by logic programming and term rewriting for complex data transformations.

Explore AI-powered data analysis with InferenceQL, an open-source platform enabling data engineers to build and query models using SQL-like syntax and intuitive interfaces, without requiring advanced mathematical knowledge.

Optimizing Apache Spark for medium-size data on single powerful servers. Flare accelerator module delivers significant speedups using code generation techniques inspired by main-memory database systems.

Exploring AI-powered visual search beyond text, focusing on composition-aware technology for precise image retrieval using machine vision, NLP, and information retrieval techniques.

Explore quantitative methods for ensuring reliability in complex data science pipelines. Learn about Two Sigma's approach to verifying end-to-end results and developing scalable algorithms for improved system stability.

Learn to build a real-time analytics stack using Kafka, Storm, and Druid for fast, flexible, and reliable data processing. Discover how to combine these technologies with Hadoop for comprehensive analytics solutions.

Explore how developers leverage genomics and bioinformatics to create an evidence-based engine for personalized ovarian cancer treatment, using technologies like Clojure and Neo4J.

Explore LinkedIn's stream processing challenges, innovations in machine learning applications, and advancements in nearline processing. Learn about state management and offline-online convergence in large-scale data systems.

Explore machine learning applications in gaming and fashion industries, focusing on consumer behavior prediction using advanced models like CNN, LSTM, and DeepAR for personalized experiences.

Explore how citizens built a data portal to address Saint Louis' vacant property problem, unifying fragmented data for policymakers and residents alike.

Explore innovative techniques for generating music based on emotional patterns in books, videos, and films, using sentiment analysis and other non-musical data as foundations for musical storytelling.