
Explore HoloLens mixed reality development with Unity, covering setup, skills, and best practices. Learn through demos and real-world applications to create compelling AR/VR experiences.

Explore DeepFakes, AI weaponization, and human vulnerabilities in cybersecurity. Learn about defense strategies against social engineering and the challenges of discerning artificial content in the digital age.

Explore cyber-resilience strategies in an uncertain world, integrating human expertise with machine learning for effective security orchestration and incident response.

Explore ethical challenges and risks of autonomous vehicles, offering insights into AI development and its broader implications for society and infrastructure.

Explore how technologists are advancing public interests through policy, projects, and organizations. Learn about their impact and future directions in this insightful discussion.

Explore the manipulation of public opinion through social media, its impact on democracy, and potential solutions with experts from tech giants and national security.

Explore legal risks and mitigation strategies for AI and machine learning applications, covering liability issues, algorithmic biases, and emerging challenges in autonomous systems and healthcare.

AI-based attacks demonstrated: topic modeling for network mapping and email classification. Explores offensive AI/ML applications, their impact on the threat landscape, and potential defensive strategies.

Explore how fostering a culture of cybersecurity awareness and leveraging human resilience can be your organization's strongest defense against evolving AI-powered cyber threats.

Explore OODA loops and feedback mechanisms to enhance security processes in applications and networks, improving operational stability in ICS, SCADA, and healthcare systems.

Explore AI-powered behavioral forensics for cybercrime investigation, profiling hackers through their digital traces and connecting seemingly unrelated attacks using advanced analysis techniques.

Proactive cloud threat detection techniques, including honeyclouds, integrated monitoring, and AI-driven behavioral analysis for mitigating orchestration attacks and cross-tenant threats.

Explore real-time object detection using ML.NET, learn about computer vision applications, and discover tools for image labeling and model building in the .NET ecosystem.

Explore real-world applications of AI and ML in cybersecurity, focusing on practical use cases that have shown value in reducing detection, response, and restoration times.

Explore the evolving landscape of social engineering in cybersecurity, focusing on new attack vectors, their sophistication, and strategies for fraud prevention teams to counter these emerging threats.

Explore privacy-preserving machine learning techniques to harness AI's power while maintaining data confidentiality, with insights on federated learning, trusted execution environments, and homomorphic encryption.

Explore 5G security paradigms, best practices, and recommendations for CSPs. Learn about new approaches, AI utilization, integration, orchestration, and automation in 5G security.

Explore privacy governance in ML/AI, addressing GDPR compliance, explainability challenges, bias identification, and strategies for enhancing consumer trust in complex data-driven decision-making processes.

Explore program synthesis insights to improve coding skills. Learn about code quality, specification-driven development, and advanced analysis techniques for better programming practices.

Explore type-driven program synthesis for creating complex data structures and repairing information flow leaks, enhancing software quality through declarative constructs and automated code generation.

Explore image formats, compression techniques, and data corruption to create artistic glitch effects. Learn how to manipulate digital imagery for unique visual aesthetics.