Highlights from the O’Reilly Artificial Intelligence Conference in London 2019
Experts explore AI's most promising developments, emerging technologies, and profitable use cases.
Experts explore AI's most promising developments, emerging technologies, and profitable use cases.
Marta Kwiatkowska provides an overview of techniques being developed to help improve the robustness, safety, and trust in AI systems.
Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of robotics development.
Zhe Zhang provides an architectural overview of LinkedIn’s machine learning pipelines.
Walter Riviera discusses three key shifts in the AI landscape.
Ihab Ilyas describes the HoloClean framework, a prediction engine for structured data with direct applications in detecting and repairing data errors.
Compositing Software, Website Vulnerabilities, Logic Puzzles, and FPGA-in-USB
Jeff Jonas details how you can use a purpose-built real-time AI to gain new insights and make better decisions faster.
Alexis Crowell Helzer outlines a practical approach to implementing machine learning.
Ben Lorica and Roger Chen review how companies are building AI applications today.
Kim Hazelwood and Mohamed Fawzy look at how applied ML has changed the platforms and infrastructure at Facebook.
Scriptural Inference, Being Sherlocked, Hand-styled Charts, and Early-stage Startup Programming Principles
NSA Cybersec, Collaborative Natural Language Understanding, Ugly Language, and Lament for Computer Files
Detecting Manipulated Face Images, Deep Learning Cheat Sheets, Chinese Cybersecurity, and Streaming Dataflow
Resilience Engineering, Ancient Emulators, Long Timespan Design, and Exporting Section 230
Unix Passwords, Remote Foo, Text Graphics, and AI in AppInventor
Cloud native, security, performance, and SRE are areas of emphasis for the O’Reilly Velocity Conference in Berlin.
Data Playbook, Global Politics Meets Tech, ML Models, and Lock-free Programming