Open Source Economics, Program Synthesis, YouTube Influence, and ChatBot Papers
I Don't Know, Map Quirks, UI Toolkit, and Open Power Chip Architecture
Competition vs. Convenience, Super-Contributors and Power Users, Forecasting Time Series, and Appreciating Non-Scalability
Content Moderation, Robust Learning, Archiving Floppies, and xkcd Charting
Developer Tool, Deep Fakes, DNA Tests, and Retro Coding Hacks
What we really need is disclosure of information about the growth and health of the supply side of Big Tech's marketplaces.
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.
Data Businesses, Data Science Class, Tiny Mouse, and Training Bias
Hardware Deplatforming, Hiring Groupthink, Loot Boxes and Problem Gambling, and Interoperability and Privacy
Recognizing Fact, YouTube & Brazil, Programming Zine, and Credit Blacklists
A review of the crucial steps for a successful blockchain-based solution.
Retro Hacking, Explaining AI, Teacher Ratings, and Algorithmic Bias
Shadow Ban Patent, Abusing Unix Tools, Deblurring Photos, and Postal Vectors
Speech adds another level of complexity to AI applications—today’s voice applications provide a very early glimpse of what is to come.
Counterfeit Security, Poses in Art, Content Moderation, and iPhone Remote Attack Surface
Get hands-on training in deep learning, AI applications, business strategies, Python, data analysis, and many other topics.
Checklists, Farewells, De-Risking, and Statistical Complexity of Brain Activity
Path Tracing, Games Experiences, Cinematic Visualization, and IoT Security
Innovation Policy Toolkit, Differential Privacy, Ethically Aligned Design, Low-N Learning
Cognitive Biases, Conflict, Language Models, and Programmable Memristor Computer
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business.
Tim Craig and Gustavo Franco on establishing robust and well-supported incident response processes.
Software-Defined Analog Circuits, Public Domain, Talk Radio Corpus, and Bad Science
Adversarial images aren’t a problem—they’re an opportunity to explore new ways of interacting with AI.
Provably Correct AI, Porn & Privacy, Math for CS and ML, and Xenophobia Classifier
Game Translation, Modern Hypercard, Cryptographic Attacks, and Digital Hardware Debugger
Email, End-to-End Encryption, AI Ethics, Reliable Distributed Systems
Disinformation, Election Meddling, Quantum Supremacy, and International Pineapple Day
Mutable Web, Re-Identification, Rule-Based Programming, and Risks of Government Hacking
Interest in PyTorch among researchers is growing rapidly.
Computer Life, Quantum Hype, Python Anti-patterns, and Algorithm Series
Deciphering Linear B, Data Journalism, Innovation Contradictions, Rebuilding Slack
Game Source, Procurement Graph, Data Moats, and Antitrust Regulation
Journal Mining, API Use, Better Conversation, and Apollo 11 Source
Drawing on 13 years spent building the Chef community, Adam Jacob takes a deep dive into the soul of open source.
VM Brasseur discusses the help new companies need to become authentic members of the free and open source software community.
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
Adrian Cockcroft says the most successful open-source-based businesses have turned their partners and developer communities into force multipliers for their own marketing and engineering teams.
Pete Skomoroch covers what you need to know as we shift from a world of deterministic programs to systems that give unpredictable results on ever-changing training data.
Using aggregate analysis of O’Reilly online learning content usage and search data, Roger Magoulas shares key insights that impact the technology tools ecosystem.
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data.
Weird Algorithms, Open Syllabi, Conversational AI, and Quantum Computing
Arun Gupta discusses the reasons why AWS is committed to open projects and communities.
Alison McCauley looks at how blockchain technology offers new tools that can help extend the ethos of open innovation into new areas.
Experts explore the role open source software plays in fields as varied as machine learning, blockchain, disaster response, and more.
Tiffani Bell shares three lessons she's learned exploring how technology can help the less fortunate.
Pedro Cruz and Brad Topol discuss Call for Code, a global developer competition that uses open source technologies to address natural disasters.
Kay Williams explores key lessons for building strong open source communities based on Microsoft’s real-world experience with Kubernetes and VSCode.
Margaret Hamilton, WeChat Censorship, Refactoring, and Ancient Games
Quantum TiqTaqToe, Social Media and Depression, Incidents, and Unity ML
A look at how guidelines from regulated industries can help shape your ML strategy.
Climbing Robot, Programming and Programming Languages, Media Player, and Burnout Shops
Hosting Hate, Releasing, Government Innovation, and Voice Cloning
Museum Copyright, Twitter Apprenticeship, AI Regulation, and Computational Biology
Optimizations and Security, 512 Byte Pac-Man, Cell Security, and Meme AI
Future of Work, GRANDstack, Hilarious Law Review Article, and The Platform Excuse
We shouldn't ask our AI tools to be fair; instead, we should ask them to be less unfair and be willing to iterate until we see improvement.
Experts explore the future of hiring, AI breakthroughs, embedded machine learning, and more.
Ion Stoica outlines a few projects at the intersection of AI and systems that UC Berkeley's RISELab is developing.
Tim Kraska outlines ways to build learned algorithms and data structures to achieve “instance optimality” and unprecedented performance for a wide range of applications.