Social Media Botnet Detection with Linkage Analysis and Machine Learning
Explore techniques for detecting social media spam botnets using linkage analysis and machine learning, covering unsupervised and semi-supervised approaches and their applications.
Real Time Vulnerability Alerting by Using Principles from the United States Tsunami Warning Center
Learn how to implement real-time vulnerability alerting using principles from the US Tsunami Warning Center, covering triage methods, data analysis, and prioritization techniques.
Insider Threat Detection & Automation by Behaviour Analytics
Learn to detect and automate insider threat prevention using behavior analytics, exploring UEBA, anomalies, and data-driven techniques for enhanced cybersecurity.
The Now and the Future of Malicious WebAssembly
Explore WebAssembly's evolution, performance, and security implications, including its use in cryptojacking and potential future developments in web-based attacks.
Understanding Neutrino Interactions Using Deep Learning
Explore deep learning applications in neutrino physics, from classifying interactions to analyzing events, with insights on future developments in particle detection.
Learning Science with Machine Learning - Opening the Pandora Box
Explore how machine learning techniques can enhance scientific understanding and data analysis in cosmology, with insights on model interpretation and innovative approaches.
Frontiers of Discovery Plenary Session - The Exoplanet Revolution
Explore the revolutionary field of exoplanet discovery, its impact on our understanding of planetary systems, and the exciting prospects for detecting potential signs of life beyond Earth.
Performance Analysis of Apache Spark and Presto in Cloud Environments
Comparative analysis of Apache Spark and Presto on Amazon EMR, focusing on SQL performance using TPC-DS benchmark. Explores execution times, costs, and optimization techniques to guide big data analytics platform selection.
Your Role in Changing Hearts and Minds for Science
Learn effective strategies for advocating basic science research to policymakers, emphasizing its long-term value and impact on medical breakthroughs despite the lag between discovery and application.
Intelligent Internet of Things - Start Analyzing Your Global Device Data for Real-Time
Explore Google Cloud IoT's capabilities for managing global devices, extracting real-time insights, and leveraging AI and machine learning for enhanced IoT data analysis and decision-making.
Realizing the Full Potential of NOAA's Open Data
Explore NOAA's open data initiatives, their impact on science, economy, and society, and new partnerships to enhance data utilization and accessibility for global environmental challenges.
Apache Kafka + Apache Mesos = Highly Scalable Streaming Microservices
Explore building scalable streaming microservices using Apache Kafka and Apache Mesos. Learn about Kafka brokers, Kafka Streams API, and Mesos deployment options through live demos and real-world examples.
Applying Geospatial Analytics at a Massive Scale Using Kafka, Spark and Elasticsearch on DC/OS
Explore geospatial analytics at scale using Kafka, Spark, and Elasticsearch on DC/OS. Learn about high-velocity IoT data consumption, streaming analytics, and spatiotemporal data storage across cloud environments.
Hands-On Real Time Stream Processing for Machine Learning
Explore real-time stream processing for machine learning with hands-on examples, covering key concepts like windowing, checkpointing, and scalable architectures for continuous data analysis.
Learning the Basics of Apache NiFi for IoT
Explore Apache NiFi for IoT data ingestion, processing, and visualization. Learn key features, workflows, and practical applications through demos and real-world examples.
Implications Tutorial - AI on the Ground Approach
Explore the real-world impact of AI through case studies, examining challenges, harms, and social implications. Learn strategies for studying AI's effects on communities and society.
When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces
Explore bias in e-commerce product recommendations, focusing on private labels. Analyze exposure bias and sponsored recommendations to understand fairness implications in online marketplaces.
An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists
Explore a toolkit for community advocates to audit AI technologies, focusing on algorithmic equity, policy implications, and practical assessment methods for identifying potential biases and injustices.
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Explore how unsupervised pre-training in image representations can lead to human-like biases, examining methods, results, and implications for AI fairness and ethics.
Fairness Through Robustness - Investigating Robustness Disparity in Deep Learning
Explore robustness disparity in deep learning, its impact on fairness, and potential mitigation strategies for more equitable AI systems.
What We Can’t Measure, We Can’t Understand - Challenges to Demographic Data Procurement in the Pursuit of Fairness
Explore challenges in demographic data collection for fairness, covering recruitment, privacy laws, anti-discrimination policies, and organizational trustworthiness in pursuit of equitable AI systems.