The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
Federated load balancing makes hosting resilient applications and operating at scale in the public cloud manageable.
We are likely to see more open interfaces and metaframeworks emerge, but they have their drawbacks.
Why it’s best to keep people’s lifestyles and environment in mind when designing products and devices.
There’s no (ethical) way to avoid having the user consciously choose whether or not to act, but products can change the nature of that choice.
The O’Reilly Fluent and Velocity conferences are teaming up to create a unique learning opportunity that addresses the full web experience.
Using machine learning, deep learning, and cognitive computing in concert can help enterprises gain competitive edges.
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.
Get a basic overview of machine learning and then go deeper with recommended resources.
Olga Russakovsky explains how her organization, AI4ALL, aims to increase diversity and inclusion in AI development and research.
Meihong Wang explains how Facebook thinks about personalization and how the company uses machine learning to provide personalized experiences.
George Church discusses the IARPA MICrONS project, which aims to revolutionize machine learning by reverse-engineering the algorithms of the brain.
Ron Bodkin explains what a tensor is and why you should care.
Dario Gil explores state-of-the-art computing for AI as it exists today as well as an innovation that will lead us into the decades to come: quantum computing for AI.
Thomas Reardon offers an overview of brain-machine interface (BMI) technology and shares CTRL-Labs’s transformative and noninvasive neural interface approach.
Abhijit Deshpande explains how to use machine learning to identify root causes of problems in minutes instead of hours.
Get hands-on training in artificial intelligence, Python, Java, blockchain, security, and many other topics.
Watch highlights covering artificial intelligence, machine learning, automation, and more. From the Artificial Intelligence Conference in New York 2018.
Fiaz Mohamed explains how Intel AI solves today’s business problems.
Zoubin Ghahramani discusses recent advances in artificial intelligence, highlighting research in deep learning, probabilistic programming, Bayesian optimization, and AI for data science.
Food production needs to double by 2050 to feed the world’s growing population. Jennifer Marsman details a solution that uses sensors in the soil, aerial imagery from drones, and machine learning.
Kavya Kopparapu shares her inspiration for starting GirlsComputingLeague.
Dan Mbanga explores how accelerating AI experimentation has influenced innovations such as Amazon Alexa, Prime Air, and Go.
Mary Beth Ainsworth offers an overview of SAS deep learning and computer vision capabilities that help map wildlife and scale conservation efforts around the world.
Manuela Veloso looks at the role humans can play in autonomy-based AI interactions and the underlying challenges to AI.
Ben Lorica and Roger Chen discuss the state of reinforcement learning and automation.
Fiaz Mohammed and Justin Herz discuss how artificial intelligence can improve content discovery and monetization
To create expertise, we need practice. And the practice must be meaningful, tightly coupled, and with sufficient quantity to develop confidence.
Harnessing DNS for traffic steering, load balancing, and intelligent response.
Free report: ROI doesn't work for L&D because it's a financial calculation, not a human one.
An introduction to how human senses can be incorporated into design principles.
We need to plan for what we can't see and design for a wide range of user scenarios to avoid bad outcomes.
How to create an injectable service that emits a stream of values, and a UI component that subscribes to this stream, displaying its values in real time.
Choose an Istio sidecar for reliability, observability, and security.
The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science.
We’re currently laying the foundation for future generations of AI applications, but we aren’t there yet.
Solving the challenges of efficiency, automation, and safety will require cooperation between researchers and engineers spanning both academia and industry.
Both reproducible science and open source are necessary for collaboration at scale—the nexus for that intermingling is Jupyter.
Work with your manager to get what you need, when you need it.
A few ways to think differently and integrate innovation and AI into your company's altruistic pursuits.
Real critique helps teams strengthen their designs, products, and services.
Learn how Spark 2.3.0+ integrates with K8s clusters on Google Cloud and Azure.
Demanding and building a social network that serves us and enables free speech, rather than serving a business metric that amplifies noise, is the way to end the farce.
A failed analytics startup post-mortem.
Like good code, good documentation is difficult and time consuming to write.
The O’Reilly Podcast: Protecting your organization against current and future threats.
Innovations that increase detection of, and response to, criminal attacks of financial systems.
Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.
The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations.
It's important to know the "why" in addition to the "what" in UX design.
As the cost of developing new drugs rises, researchers are investigating new ways to use existing medicines
The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity.
Our survey reveals how organizations are using tools, techniques, and training to apply AI through deep learning.
Enhance overall code quality through a blend of interpersonal communication and tool-based analysis.
Empowering groups to understand design for themselves will lead to new user experiences for users and designers alike.
The O’Reilly Programming Podcast: Rising barriers to entry, the complexity of the modern web, and a preview of upcoming Fluent sessions.
Considerations for setting the architectural foundations for a fast data platform.
Advances in 3D-printing technology have the potential to lower the cost and increase the availability of organ transplants.
Get hands-on training in AWS, Python, Java, blockchain, management, and many other topics.
The web was never supposed to be a few walled gardens of concentrated content owned by a few major publishers; it was supposed to be a cacophony of different sites and voices.