AI and Its Future - Artificial General Intelligence
Explore AI's current limitations, future potential, and research directions towards Artificial General Intelligence in this insightful presentation by Eric Steinberger.
Genetic Algorithms in Go
Explore genetic algorithms through examples like evolving Shakespeare's phrases and Mona Lisa's image. Learn about natural selection-based metaheuristics and their applications.
How a Driverless Car Sees the Road
Explore the fascinating world of autonomous vehicles as Google's driverless car program leader shares insights on how these cars perceive and navigate roads, making decisions without human intervention.
Brewing the Future of Leadership
Discover essential leadership skills for the AI era: creativity, agility, emotional intelligence, critical thinking, and collaboration. Learn how to brew a motivating and inspiring leadership style.
Top Stories: Informal Economy, Sustainable Space Exploration, AI Language Preservation, and Tech for Justice
Explore diverse topics: informal economy's prevalence, sustainable space exploration benefits, AI's role in language preservation, and technology's potential to enhance access to justice.
AI Show - Ignite Recap: Arc-Enabled ML, Language Services, and OpenAI
Recap of Microsoft Ignite announcements, featuring Arc-enabled ML, Language services, and OpenAI capabilities on Azure. Includes demos, Q&A sessions, and discussions on responsible AI use.
HATS - Catch Up with Ero Carrera and Sergey Lozhkin
Insightful discussion with cybersecurity experts Ero Carrera and Sergey Lozhkin on advanced threat analysis, reverse engineering, and the role of AI/ML in cybersecurity at HITB2021AMS.
Model Robustness Will Hurt Data Privacy?
Exploring the trade-off between AI model robustness and data privacy, revealing how adversarial training may increase vulnerability to privacy attacks and data reconstruction from gradient information.
A Retro- and Introspective of the State of Cyber
Análisis retrospectivo e introspectivo del estado de la ciberseguridad, explorando desafíos actuales, prácticas efectivas y tecnologías emergentes para mejorar la resiliencia y postura de seguridad.
Practical AI Red Teaming - A Facial Recognition Case Study
Practical insights into AI red teaming for facial recognition systems, exploring vulnerabilities, attack methods, and defense strategies in real-world environments.
Biometrics System Hacking in the Age of the Smart Vehicle
Explore biometric system vulnerabilities in smart vehicles, including facial recognition and voice-print identification. Learn practical attack methods to bypass security measures and understand potential risks.
Deep Learning Neural Networks – Our Fun Attempt at Building One
Explore deep learning neural networks through a hands-on approach, learning to build and understand these powerful AI tools in a fun and engaging way.
The Semantic Age - or - A Young Ontologist's Primer
Explore the concept of the Semantic Age and its implications for ontology, delving into the fundamentals of semantic technologies and their impact on information organization and retrieval.
Looking For the Perfect Signature - An Automatic YARA Rules Generation Algorithm in the AI-Era
Explore an innovative algorithm for automatic YARA rule generation, leveraging AI to enhance malware detection and threat intelligence in the evolving cybersecurity landscape.
Using Machines to Exploit Machines - Harnessing AI to Accelerate Exploitation
Explore AI-powered exploitation techniques and their impact on cybersecurity. Learn how machine learning accelerates vulnerability discovery and attack automation in this cutting-edge presentation.
Building an Enterprise Security Knowledge Graph to Fuel Better Decisions, Faster
Explore enterprise security knowledge graphs for enhanced decision-making. Learn to leverage data connections, improve threat intelligence, and streamline security operations.
JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition
Explore vulnerabilities in machine learning systems for speech, text, and face recognition, uncovering potential security risks and attack vectors in AI technologies.
GPT-3 and Me - How Supercomputer-Scale Neural Network Models Apply to Defensive Cybersecurity Problems
Explore how advanced neural network models like GPT-3 can be applied to solve defensive cybersecurity challenges, enhancing threat detection and response capabilities.
Sight Beyond Sight - Detecting Phishing with Computer Vision
Explore innovative computer vision techniques for detecting phishing attacks, enhancing cybersecurity through advanced visual analysis and machine learning.
AI in a Minefield - Learning from Poisoned Data
Explore the challenges and strategies for AI systems learning from compromised or manipulated datasets, focusing on data poisoning threats and mitigation techniques.
Automation Plumbing
Explore efficient automation workflows for cybersecurity, covering detection, aggregation, processing, and plumbing solutions using tools like Python, Elastic Search, Splunk, and Log Stash.