
Explore structural limitations in deepfake media datasets, examining metrics, generation techniques, and class distributions to understand their impact on detection systems and research reproducibility.

Master essential Excel formulas and functions for counting and adding data, including COUNT, COUNTA, SUMIFS, and advanced logical tests for analyzing business data with multiple conditions.

Master geometric curve fitting and power curve analysis through practical applications of the least square method, focusing on advanced mathematical concepts and statistical problem-solving.

Explore advanced algebraic topology concepts through the computation of homotopy and singular homology groups in finite directed graphs, with applications in data analysis and network science.

Explore advanced visualization techniques using recurrence plots to uncover hidden patterns and trends in complex time series data through interactive analysis methods.

Master exponential curve fitting through practical examples and learn to apply the least square method for statistical analysis and problem-solving in mathematics.

Explore the complexities of knowledge cutoff dates in Large Language Models, examining how training data timestamps affect model accuracy and investigating temporal misalignments in data collection.

Master Excel's LAMBDA function to create custom, reusable functions for streamlining calculations and automating repetitive tasks in your workbooks.

Master data cleaning and visualization in Excel through Power Query, PivotTables, and interactive dashboard creation. Transform raw data into meaningful insights while automating your workflow.

Llion Jones, co-author of the seminal "Attention Is All You Need" paper that introduced transformers, warns that the current corporate AI arms race is stifling true innovation. He discusses how the industry that grew from this breakthrough is now preventing the next one, and explores ways to return to bold exploration in AI research.

Advait Sarkar examines the cognitive trade-offs of using AI at work, warning that outsourcing reasoning to AI reduces us to "middle managers for our own thoughts." He introduces alternative tools that encourage critical thinking, reflection, and actually help users get smarter rather than just completing tasks faster.

Swami Sivasubramanian explains AI agents as the future of work, capable of boosting productivity and creativity by handling routine tasks autonomously. He demystifies how these autonomous systems work and advocates for AI taking over mundane work so humans can focus on meaningful activities.

Juan M. Lavista Ferres introduces SPARROW, an open-source, solar-powered AI system that analyzes sounds and images to provide real-time biodiversity monitoring insights, helping conservationists protect wildlife and ecosystems more effectively.

Kasia Chmielinski uses a sandwich metaphor to explain AI systems and advocates for "nutrition labels" on AI to ensure fairer, more transparent algorithms. She discusses how data reform can improve AI development and accountability.

AI should be our collaborative partner, not just a productivity tool. Through my work in enterprise AI, I've witnessed talented professionals drowning in information overload—spending hours searching for answers instead of solving real problems. By combining Large Language Models with Retrieval Augm

Insurance is supposed to protect people, yet outdated systems often burden those they're meant to serve. I'm working on Decision Intelligence AI that doesn't just process data but comprehends, reasons, and acts responsibly in insurance. From reducing claims processing from weeks to hours, to real-ti

NOTE FROM TED: Please do not look to this talk for medical or diagnostic advice and always consult a medical professional. This talk only represents the speaker's personal views and understanding of AI models and healthcare which warrants further scientific investigation. TEDx events are independent

True medical breakthroughs can take an average of 17 years, which can be dramatically reduced to seconds with AI, but it still needs to be watched carefully. With the proper safeguards like AI transparency, independent testing and verification systems, AI can be a valuable hack to make rapid advance

Artificial intelligence is transforming healthcare, but what happens when the data behind these systems carries the same biases found in society? In this compelling talk, Tomisin Adebari explores how biased data can shape the decisions made by healthcare artificial intelligence systems. While AI ha

No dejes que el pasado defina tu futuro. Cuando el futuro se escribe con datos del pasado, ser una misma se convierte en un acto político. A través de ejemplos cotidianos, descubriremos cómo los modelos de inteligencia artificial reflejan las reglas ocultas de la sociedad y qué acciones simples pode

Ondrej Palkoci is an AI/ML specialist and cloud engineer working in a med-tech startup. Together with an international team, he is developing technology in Košice that pushes the boundaries of non-invasive cardiology. He was involved in establishing one of the first AI labs in Eastern Slovakia and h