
Explore techniques for detecting social media spam botnets using linkage analysis and machine learning, covering unsupervised and semi-supervised approaches and their applications.

Learn how to implement real-time vulnerability alerting using principles from the US Tsunami Warning Center, covering triage methods, data analysis, and prioritization techniques.

Explore how machine learning techniques can enhance scientific understanding and data analysis in cosmology, with insights on model interpretation and innovative approaches.

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.

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.

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.

Explore robustness disparity in deep learning, its impact on fairness, and potential mitigation strategies for more equitable AI systems.

Explore the impact of removing spurious features on model accuracy and group fairness in machine learning, examining potential unintended consequences and ethical implications.

Explore error frameworks for digital human traces, bridging survey methodologies with computational approaches to enhance data quality and interpretation in social research.

Explore a pilot study on evaluating AI-generated radiology reports through clinical judgments, examining methodologies, results, and implications for healthcare technology.

Explore how administrative data can be used to audit bias in mobility data for COVID-19 policies, addressing disparate coverage and its implications for decision-making.

Explore how differential victim crime reporting impacts predictive policing systems, analyzing models, synthetic data, and hotspot prediction to improve fairness in law enforcement.

Explore evidence-consistent rankings in machine learning, focusing on fairness, misrepresentation, and multi-accuracy. Gain insights into domination compatibility and self-reference in ranking systems.

Explore the Coin Problem's applications to data streams, covering previous works, counting techniques, information cost, and proof overview.

Explore smoothed analysis in unsupervised learning, focusing on tensor decomposition, high-dimensional data, and robust subspace recovery. Gain insights into condition number bounds and perturbation techniques.

Explore how Carbon disrupted manufacturing through innovative storytelling, leveraging audience data and unique narratives to compete with established brands in a fragmented media landscape.

Explore how advanced technology blurs the line between reality and magic, as demonstrated by Blippar's innovative augmented reality solutions and industry-leading applications.

Strategies for creating successful online media brands with engaged communities, focusing on millennial audiences and emerging trends in digital entertainment.

Scott Galloway reviews his 2021 predictions, analyzes current trends in tech and geopolitics, and shares insights on future opportunities in this engaging SXSW 2022 talk.

Exploring biases in data collection for mass violence, this talk challenges assumptions about representativeness and demonstrates how statistical analysis can address underreporting in human rights contexts.

Comprehensive overview of Android kernel security, analyzing vulnerabilities, discussing mitigations, and exploring future improvements for enhanced platform protection.