
Explore quantitative methods for comparing Advanced Persistent Threats using MISP, enhancing threat intelligence analysis and cybersecurity strategies.

Explore advanced clustering techniques for threat intelligence data analysis and visualization in MISP, enhancing cybersecurity insights and decision-making processes.

Learn to enhance Cyber Threat Intelligence operations using Jupyter Notebooks and MISP. Explore practical techniques for data analysis, visualization, and threat information sharing.

Explore Norway's stochastic SEIR model for COVID-19, including data collection, mobility tracking, and decision-making processes in public health management.

Explore COVID-19 epidemiology, data challenges, and control strategies with Harvard expert Marc Lipsitch. Gain insights on nowcasting, modeling, and key open questions in pandemic management.

Exploring AI-driven interactive environments that adapt to user needs, enhancing sustainability, health, and comfort in buildings. Focuses on machine learning and data science for personalized, context-aware spaces.

Explore a hybrid approach combining first-principles and machine learning for meta-level optimization, shifting focus from big data to right data in experimental design and inverse problems.

Explore differential privacy and its role in protecting data during complex analysis. Learn about the risks of data accumulation and solutions for privacy-preserving statistical analysis of large datasets.

Explore urban evolution, innovative techniques, and data-driven approaches shaping smarter cities, with insights on modeling, sustainability, and the future of urban living.

Exploring the future of dynamic robots with Marc Raibert, discussing advancements in hardware, control systems, and real-world applications. Includes insights on Boston Dynamics' innovations and a live robot demonstration.

Explore ethical data practices through a feminist lens, examining power dynamics, classification systems, and invisible labor to create more equitable data science approaches.

Machine learning's universal approach to phenomena inverts expertise from answering known questions to asking good ones. Explore applications in structural design, urban analysis, and real estate, with insights on ML's impact across engineering and desig…

Exploring the impact of AI on urban development, this debate examines the benefits and risks of smart cities, addressing privacy concerns, ethical implications, and societal consequences.

Explore global wealth distribution, economic inequality metrics, and government policies' impact on inequality. Learn about data quality and coverage in assessing policy progressivity across 150+ countries.

Explore differential privacy fundamentals, applications in machine learning, and key definitions. Learn about privacy-preserving computations and various mechanisms for protecting sensitive data.

Experts analyze data from surveys and reports on cloud-native and open source software security, providing actionable insights to improve software supply chain security for organizations and projects.

Explore building an open-source SIEM using Fluentd and Fluent Bit. Learn about data collection, enrichment, correlation, and real-world security infrastructure examples for effective threat detection and analysis.

Explore techniques for enhancing software supply chain security through observability, focusing on key benefits and practical implementation strategies.

Discover how Elastic's InfoSec team leverages Argo Project tools for efficient K8s cluster management, GitOps-driven workflows, and seamless deployment of security use-cases in cloud environments.

Explore data-driven security roles, their overlapping skills, and career paths in this talk on the evolving landscape of security data science teams and job titles.

Explore the implications of the Yandex leak, revealing insights into big tech's data usage practices and the extent of user information collection and analysis.