Reduce both experimentation time and training time for neural networks by using many GPU servers.
A glimpse behind the scenes of a high-level deep learning framework.
While open-endedness could be a force for discovering intelligence, it could also be a component of AI itself.
Mapping Secrets, Deep Learning Chemistry, Ted Chiang, and Testing Browser Apps
An overview of adoption, and suggestions to companies interested in AI technologies.
Support Archive.org, Mathematics Magazine, CRISPR Drives, and Science Journal For Kids
Learn how to manipulate smartphone behavior with common hyperlinks.
Machine Teaching, Accuracy Trumps Bias, Fairness in ML, and Quantum Game
An overview of commercial and industrial applications of reinforcement learning.
A unified methodology for scheduling workflows, managing data, and offloading to GPUs.
The O’Reilly Programming Podcast: The impact of ARKit on developers and consumers.
Game Theory, Wet String, NIPS Notes, and Bias Talk
Since AI's most amazing advances have been in playing games, it seems fitting that the creative challenge should involve creating games.
Common pitfalls, and an approach to narrow down the most meaningful metrics.
Decoding simple regex features to match complex text patterns.
Prototyping, Quantum Algorithms, 6ed Unix Commentary, and Quantum Computing
Learned Indexes, Text Tables, Weaponized Ed Data, and Bad Feedback Loops
Every line of business must have access to the digital tools needed to innovate at the edge.
Programming Falsehoods, Money Laundering, Vulnerability Markets, and Algorithmic Transparency
A simple framework for implementing message-based, user-initiated CRUD operations.
Books for Young Engineers, Fake News, Digital Archaeology, and Bret Victor
Kira Radinsky describes a system that mines medical records and Wikipedia to reduce spurious correlations and provide guidance about drug repurposing.
Watch highlights covering machine learning, smart cities, automation, and more. From Strata Data Conference in Singapore 2017.
Carme Artigas asks: Are innovations like autonomous vehicles and flying drones making our societies more intelligent?
Pascale Fung explains how emotional interaction is being integrated into machines.
Tony Lee outlines the unique big data and AI challenges JD.com is tackling.
Amr Awadallah explains the historic importance of the next wave in automation.
Ajey Gore looks at how the impossible can be made possible with technology and data insights.
The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement.
Measurement, Value, Privacy, and Openness
A look at the rise of the deep learning library PyTorch and simultaneous advancements in recommender systems.
For stack scalability, elasticity at the business logic layer should be matched with elasticity at the caching layer.
Thoughts on "We are the people they warned you about."
Without the proper cataloging, curation, and security that self-service data platforms allow, companies are left vulnerable to cybersecurity threats and misinformation.
Felipe Hoffa says data-based conclusions are possible when stakeholders can easily analyze all relevant data.
Melanie Johnston-Hollitt discusses a radio telescope project that will produce data on a scale that dwarfs most big data efforts.
Cesar Delgado joins Mick Hollison to discuss how Apple is using its big data stack and expertise to solve non-data problems.
Joshua Bloom explains why the real revolution will happen—in improved and saved lives—when machine learning automation is coupled with industrial data.
Steve Leonard explores how Singapore is bringing together ambitious and capable people to build technology that can solve the world’s toughest challenges.
Bruno Fernandez-Ruiz discusses the tradeoffs we make to ensure safer transportation.
Ben Lorica explains how to guard against flaws and failures in your machine learning deployments.
Learn how the Defense Advanced Research Projects Agency (DARPA) has spurred significant advances in the promising field of synthetic biology.
The O’Reilly Security Podcast: The objectives of agile application security and the vital need for organizations to build functional security culture.
TouchID for SSH, Pen Testing Checklist, Generativity, and AI Data
Using the keras TensorFlow abstraction library, the method is simple, easy to implement, and often produces surprisingly good results.
Analog Computing, Program Synthesis, Midwestern Investment, and Speed Email
Find out how to get your voice heard and bring a positive impact to a receptive audience.
Campaign Cybersecurity, Generated Games, Copyright-Induced Style, and Tech Ethics
Creepy Kid Videos, Cache Smearing, Single-Image Learning, and Connected Gift Guide
Lessons learned from building engineering teams under pressure.
The O’Reilly Programming Podcast: Wrangling data with Python’s libraries and packages.
Object Models, Open Source Voice Recognition, IoT OS, and High-Speed Robot Wars
New technology is allowing doctors to diagnose and treat heart disease faster and more efficiently.
Scale changes the problems of privacy, security, and honesty in fundamental ways.
The O’Reilly Media Podcast: Gayle Sheppard, Saffron AI Group at Intel, and David Thomas, Bank of New Zealand.
Avoiding State Surveillance, Parallel Algorithms, Smart Tactics, and Voting Security
Mark Richards explores two basic techniques for analyzing tradeoffs of architecture characteristics.
O’Reilly Media Podcast: David Hsieh, of Qubole, in conversation with John Slocum, of MediaMath.
Code for One, Grid Component, Tinder Data, and Engineering Reorg
A survey of usage, access methods, projects, and skills.