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
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
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.
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.
Using aggregate analysis of O’Reilly online learning content usage and search data, Roger Magoulas shares key insights that impact the technology tools ecosystem.
VM Brasseur discusses the help new companies need to become authentic members of the free and open source software community.
Drawing on 13 years spent building the Chef community, Adam Jacob takes a deep dive into the soul of open source.
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.
Kay Williams explores key lessons for building strong open source communities based on Microsoft’s real-world experience with Kubernetes and VSCode.
Tiffani Bell shares three lessons she's learned exploring how technology can help the less fortunate.
Experts explore the role open source software plays in fields as varied as machine learning, blockchain, disaster response, and more.
Pedro Cruz and Brad Topol discuss Call for Code, a global developer competition that uses open source technologies to address natural disasters.
Alison McCauley looks at how blockchain technology offers new tools that can help extend the ethos of open innovation into new areas.
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.
Maria Zheng examines AI and its impact on people’s jobs, quality of work, and overall business outcomes.
Haoyuan Li offers an overview of a data orchestration layer that provides a unified data access and caching layer for single cloud, hybrid, and multicloud deployments.
Ion Stoica outlines a few projects at the intersection of AI and systems that UC Berkeley's RISELab is developing.
Abigail Hing Wen discusses some of the most exciting recent breakthroughs in AI and robotics.
Michael James examines the fundamental drivers of computer technology and surveys the landscape of AI hardware solutions.
Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and shares new use cases it will unlock.
Tim Kraska outlines ways to build learned algorithms and data structures to achieve “instance optimality” and unprecedented performance for a wide range of applications.
Mikio Braun takes a look at Zalando and the retail industry to explore how AI is redefining the way ecommerce sites interact with customers.
Algorithmic Governance, DevOps Assessment, Retro Language, and Open Source Satellite
Online Not All Bad, Emotional Space, Ted Chiang, Thread Summaries
Debugging AI, Serverless Foundations, YouTube Bans, and Pathological UI
The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning.
Models, More Models, Robots.txt, and Event Sourcing
Lock Convoys, AI Hardware, Lambda Observability, and AI for Science
General-Purpose Probabilistic Programming, Microsoft's Linux, Decolonizing Data, Testing Statistical Softwares
Neural-backed generators are a promising step toward practical program synthesis.
Heartbeat Identity, Seam Carving, Q&A Facilitation, and Secure Data in Distributed Systems
As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use.
Security Mnemonics, Evidence Might Work, Misinformation Inoculation, and Spoofing Presidential Alerts
Ethics and OKRs, Rewriting Binaries, Diversity of Implementation, and Uber's Metrics Systems
To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce.
Analog Deep Learning, Low-Trust Internet, Media Literacy, and Psych Experiments
Wacky Timestamps, Computers and Spies, Surveillance Capitalism, and Twitter Adventures
Private Computation, Robot Framework, 3D Objects, and Self-Supervised Learning
Model Governance, Content Moderators, Interactive Fiction, and End-User Probabilistic Programming