
Explore power dynamics between instant loan platforms and financially stressed users in India, examining algorithmic accountability and its impact on vulnerable populations.

Explore the use of machine learning in employment decisions, covering legal aspects, discrimination theories, and impact measurement of people analytics tools in hiring processes.

Explore the evolution of Wajam from startup to widespread adware, uncovering its tactics and impact on users' systems through malware researcher Hugo Porcher's analysis.

Explore challenges and solutions in managing penetration testing for large corporations, focusing on effective strategies to enhance cybersecurity and address complex organizational issues.

Explore machine learning and advanced analytics applications in modern cybersecurity, focusing on innovative techniques to enhance threat detection and response in today's digital landscape.

Explore how artificial intelligence is being leveraged to combat pandemics, discussing innovative applications and potential future developments in healthcare.

Explore principles of neocortex-inspired computing, sparse distributed representations, and their impact on future machine intelligence with Numenta founder Jeff Hawkins.

Explore CypherDog 2.0, a tool bridging the gap between attacker mindsets and management metrics, enhancing cybersecurity strategies and decision-making processes.

Explore adaptive concurrency control for real-time analytics, addressing timeouts in mixed workloads. Learn iterative improvements for better user experience in query services.

Leveraging service discovery for transparent network segmentation using mutual TLS, enhancing security without disrupting development or requiring downtime. Lessons from implementing strong access controls at scale.

Erörterung der Entwicklung von Data-Mining zu prädiktiver Analytik und Überwachungskapitalismus, mit Fokus auf gesellschaftliche Auswirkungen und ethische Bedenken der digitalen Überwachung.

Explore how predictive policing and AI can detect potential active shooters by analyzing warning behaviors across various data sources, enabling early intervention and prevention.

Discover predictive analytics for security, including decision science, Bayesian methods, and quantitative risk management. Learn to measure attack surface and present advanced metrics to boards.

Explore the potential of Twitter data to reveal psychopathic traits in killers. Delve into psychological research, profiling techniques, and the intersection of social media and criminal behavior analysis.

Unmasking cybercriminals' sophisticated techniques for account takeover attacks, focusing on machine fingerprint markets, their impact on Canadians, and strategies for protection against this growing threat.

Explore machine learning for data-driven predictions in enterprise applications using Oracle Machine Learning. Learn through code examples and demos how to build models and apply insights on database data.

Explore Windows 7 vulnerabilities, bug hunting techniques, and the cybersecurity market. Learn automated approaches for identifying and documenting system weaknesses.

Exploring innovative approaches to engage with startups for cost-effective, efficient security solutions. Case study from Uber's engineering team demonstrates benefits for both companies and the broader market.

Exploring data integrity attacks in investigative domains, showcasing real-world cases and strategies to defend against misinformation and manipulation in big data analytics.

Explore JavaScript frameworks' impact on application security, analyzing mitigation levels, case studies, and CSRF protection across popular frameworks like Meteor.

Explore axiomatic approaches to high-dimensional model explanations, covering value functions, design principles, and characterization results, with a case study on movie reviews.