
Explore strategies to reduce cybersecurity response times and close the gap with attackers. Learn how organizations are leveraging data to detect and respond to threats more quickly and effectively.

Explore public opinion polling, its challenges, and practical solutions for interpreting data in politics. Gain insights into the intersection of statistics and political analysis.

Explore the evolution of popular music through quantitative analysis, revealing structural changes and diversity trends over the past 50 years using innovative scientific approaches.

Explore consumer behavior, decision-making, and retail's future through big data insights and evolving shopper DNA in this thought-provoking talk on the science of shopping.

Explore how attackers can manipulate word embeddings through corpus modifications, affecting downstream NLP tasks and fooling defenses. Learn about implications for information retrieval and translation.

Discover the art of data storytelling with three key takeaways: first principles thinking, talking headers, and fairytale magic. Learn to craft memorable narratives that bring data to life.

MIT researcher's groundbreaking study on language acquisition using home video footage reveals insights into how infants learn to speak, with implications for understanding human learning processes.

Learn to critically evaluate health claims and scientific studies with epidemiologist Ben Goldacre's fast-paced exploration of evidence distortion in nutrition and pharmaceutical research.

Explore innovative techniques for reducing honeypot data volume while maintaining its effectiveness in cybersecurity threat detection and analysis.

Explore vulnerabilities in support systems and live chat services by exploiting placeholders to extract sensitive user data, as demonstrated by Rojan Rijal's research findings.

Explore a case study on detecting supply chain threats through anomaly detection in Cloud API logs, offering insights into advanced cybersecurity techniques.

Explore techniques for creating and utilizing effective wordlists in cybersecurity, including target-specific lists, data processing, and practical applications for bug hunting.

Exploring the vital role of traditional journalism in combating disinformation and polarization on social media, emphasizing its importance in today's digital landscape.

Explore advanced password security using neural networks to model similarities, revealing vulnerabilities in current systems and proposing innovative defenses against targeted attacks.

Quantitative analysis framework for evaluating security of Proof of Work consensus protocols, revealing vulnerabilities and proposing improvements for blockchain systems.

Innovative deep learning method for detecting malicious web content, operating on token streams from static HTML files. Achieves high accuracy and speed without complex parsing or emulation.

Explore poisoning attacks on linear regression models, their impact on automated decisions, and effective countermeasures. Learn about optimization frameworks and statistical attacks in machine learning security.

Incremental learning approach for XML anomaly detection, inferring types and datatypes to create extension point-free automaton for improved stream validation and attack prevention.

Explore social mobility patterns using mobile data and their applications to public health with insights from CINVESTAV researcher Maribel Hernández Rosales.

Explore neural code development through behavioral signatures, focusing on computational neuroscience insights from Lilach Avitan's research at Hebrew University.

Explore the future of AI in simplifying human-machine interaction, democratizing data analytics, and its potential impact on society with insights from an experienced tech entrepreneur.