From Data Mess to Data Mesh - Navigating People, Process & Platforms
Explore the journey from data mess to data mesh, covering organizational challenges, technical aspects, and practical considerations for implementing effective data solutions in complex environments.
Building Evolutionary Architectures
Explore evolutionary architecture concepts, fitness functions, and the architecture quantum with industry experts. Gain insights on building adaptable software systems that evolve with changing requirements.
Intelligence Amplification with Artificial Intelligence
Explore intelligence augmentation frameworks for building data-driven systems. Learn technology, architecture, and UX patterns to create enhanced user experiences through AI and analytics integration.
Automatic Programming - How Far Can Machines Go
Explore the potential and limitations of program synthesis, from crowd-sourced solutions to AI-assisted programming, and discover how human-computer collaboration shapes the future of software development.
Machine Learning for Autonomous Vehicles
Explore machine learning for autonomous vehicles, covering data collection, model development, security, and industry trends. Gain insights from experts on the future of self-driving technology.
How Metaflow Became Netflix's Beloved Data Science Framework
Discover Metaflow, Netflix's ML framework that revolutionized production time. Learn its development, impact, and gain practical insights for your own projects.
Decision Making & Heuristics
Explore decision-making models for CTOs, expert vs. non-expert approaches, and fostering a culture of intentional architecture and design heuristics to develop future technical leaders.
Building a Scalable Data Science Pipeline at REA
Explore how REA rebuilt its data science pipeline to optimize data scientist autonomy, focusing on technical solutions and social challenges faced by engineering and data science teams.
Propagators Part 1
Explore algorithms for information propagation, including CRDTs, Datalog, and SAT solving. Learn about Sussman and Radul's propagators and Kuper's lattice variables, blending frameworks for consistent, terminating results.
Propagators Part 2
Explores advanced concepts in propagator algorithms, blending frameworks to optimize termination and consistency in various computational domains like CRDTs, Datalog, and constraint programming.
Explainable AI Explained for Developers
Discover the importance of Explainable AI for developers, learn practical tools for interpreting machine learning models, and understand its business implications in this insightful presentation.
Why You Should Look Into Low Code
Explore the potential of low-code development to boost productivity, enable citizen developers, and meet growing application demands. Learn its benefits, limitations, and future prospects in software engineering.
Graph Neural Networks - Algorithm & Applications
Explore graph neural networks, their architecture, and applications in AI. Learn about graph representations, deep learning algorithms, and real-world use cases in document classification and action recognition.
COVID-19 Unraveled the Workforce - Here's How to Fix It
Anthropologist Mary L. Gray explores the rise of on-demand online labor, its impact on full-time employment, and proposes solutions to support workers in the evolving gig economy landscape.
Neuroscience and Artificial Intelligence Need Each Other
Exploring the symbiotic relationship between neuroscience and AI, highlighting how brain imaging and machine learning advance our understanding of cognition and improve AI algorithms for visual recognition tasks.
Confessions of a Cyber Spy Hunter
Explore the evolution of cyber espionage and its impact on global security with insights from a Silicon Valley veteran. Discover how modern spies operate in the digital realm.
True Artificial Intelligence Will Change Everything
Explore the revolutionary impact of true AI with Jürgen Schmidhuber, pioneer of deep learning. Discover how AI's curiosity and creativity are reshaping technology, science, and daily life.
Where AI Is Today and Where It's Going
Explore AI's current capabilities and future potential with Richard Socher, covering image classification, computer vision, text analysis, and the transformative impact of AI on various fields.
Extremal Singularities
Explore extremal singularities in algebraic geometry, focusing on hypersurface singularities, cone singularities, and their classification, with insights into cubic surfaces and characteristic p phenomena.
Understanding and Measuring Singularities in Algebraic Geometry
Explore algebraic geometry, focusing on singularities, smoothness, and resolution. Delve into key concepts like algebraic varieties, coordinate rings, and the Minimal Model Program.
What Physics Teaches Us About Computation in High Dimensions
Explore the intersection of physics and high-dimensional computation, uncovering insights on phase transitions, algorithms, and deep learning in this thought-provoking lecture by Lenka Zdeborová.