Amy Unruh demonstrates Google Cloud machine learning APIs and highlights OSS TensorFlow models.
Anca Dragan introduces a mathematical formulation that accounts for cars responding to people and people responding to cars.
The O’Reilly Data Show Podcast: Naveen Rao on emerging hardware and software infrastructure for AI.
How the Hypothesis Progression Framework and Customer-Driven Cadence can help mitigate assumptions and guide you through customer and product development.
The O’Reilly Programming Podcast: Principles for the successful adoption of microservices.
The AI ecosystem just might be resilient enough to live up to the hype.
Josh Tenenbaum looks at the intersection of computing and thought.
Damion Heredia explores augmented intelligence, IBM's alternative definition of AI.
David Ferrucci offers an overview of Elemental Cognition, a company focused on creating AI systems that autonomously learn from human language and interaction.
Richard Socher explains how Salesforce is doing the heavy lifting to deliver scalable AI to customers.
Watch highlights covering artificial intelligence, machine learning, applied deep learning, and more. From the O'Reilly Artificial Intelligence Conference in New York 2017.
Suchi Saria discusses the medical applications of artificial intelligence.
Jim McHugh explains why a new computing paradigm and deep learning software stack will be required to power, predict, and act on data.
An algorithm that generates Bézier curves using an increasing number of control points.
An AI-first strategy will only work if it puts the user first.
Integrate and access any form of data using a multi-model database.
Addy Osmani explains why progressive web apps (PWAs) are becoming the new normal for fast and engaging mobile web experiences.
Maximiliano Firtman explains why, after years of adding layers of complexity to the frontend, it makes sense to go back to the roots of the web.
Diversity and inclusion in the tech industry has experienced a severe failure. Erica Baker approaches the topic like we would for any other service failure: with a postmortem.
Aria Stewart discusses the role community plays in the web world and how we can take care of what we’ve built.
As the web and tools evolve to meet the needs of modern applications, Rey Bango explains why now is the time to embrace being uncomfortable.
Kelsey Hightower discusses the benefits of using Kubernetes and Istio together.
Dharma Shukla covers Azure Cosmos DB, a massively scalable, multitenant, globally distributed database service.
Phillip Liu says removing friction for engineers leads to better code and a better understanding of how code works.
Dianne Marsh asks: What does relevance in tech look like in practice?
Cliff Crocker shows how intelligent analytics connects the data from "finders" with the actions from "fixers."
Tammy Everts offers a brief history of UX and web performance research, and shares educated guesses about new metrics.
Dave Andrews shares strategies for addressing cascading failures at various scales and environments.
What product management is and why it’s so relevant today.
The O’Reilly Data Show Podcast: Michael Freedman on TimescaleDB and scaling SQL for time-series.
How latency, packet loss, content type, and third-party content affect performance.
Kelsey Hightower introduces the global stack and outlines the challenges full-stack developers now face.
Tim Kadlec says we must focus on the fundamentals that make or break the web for people around the globe, and down the street.
Watch highlights covering frontend tools and techniques, performance, web apps, and more. From the O'Reilly Fluent Conference in San Jose 2017.
Sean Regan says DevOps requires more than tools. It also needs high-performing people and teams.
Jenn Schiffer looks at Glitch, a creative community that lets coders collaborate in ways that past generations of programmers could only dream of.
Leo Vasiliou walks through the evolution of analytics and how analytics relates to a larger monitoring strategy.
Marcy Sutton explores how the work we do with technology can have a monumental impact on the lives of people with disabilities.
John Allsopp looks toward the next age of personal computing—one where humans will interact with machines in more seamless and futuristic ways.
Artur Bergman looks back at the last decade of DevOps and explores shifting patterns in operations, development, and systems.
Martin Woodward tells the story of transforming Microsoft’s internal engineering systems from a collection of disparate in-house tools to One Engineering System.
Peter Alvaro explores lineage-driven fault injection (LDFI), a novel approach to automating failure testing.
Kristopher Beevers asks: What does resiliency mean when service providers are critical components of nearly every application?
Dawn Parzych shows how understanding assumptions and biases can help your organization.
Corey Scobie explains why the compartmentalization of Internet technology and application development will not sustain our aspirations.
Watch highlights covering distributed systems, DevOps, resiliency, and more. From the O'Reilly Velocity Conference in San Jose 2017.
Adam Jacob says we need to design organizations that can cope with what’s new and what’s next.
Alex Grbic explains how a single field-programmable gate array (FPGA) can deliver acceleration for multiple workloads.
David Hayes explains why DevOps is now a requirement for success and he outlines challenges all DevOps teams will face over the next five years.
How can you be an effective noncoding technical leader? Camille Fournier explores solutions to this ongoing issue.
The O’Reilly Security Podcast: How to approach asset management, improve user education, and strengthen your organization’s defensive security with limited time and resources.
An algorithm for rubber-banding random points.
Jupyter for sharing and prototyping, Jupyter in academia, and FAIR principles.
Get a clear picture of what operations professionals do, what they're paid, how they’re seen within their companies, and how they rate different aspects of their jobs.
Exploring a reference architecture solution.
To succeed in digital transformation, businesses need to adopt tools that enable collaboration, sharing, and rapid deployment. Jupyter fits that bill.
A story about SEO that wouldn't work and how social media saved the project.
AI fighting extremism, intuitive physics, and schema networks.
Designers will need to explore use cases—bots are a great hammer, but not everything is a nail.
Reliably smooth animations with help from your GPU.