Welcome to the New AWS AI Blog

If you ask 100 people for the definition of “artificial intelligence,” you’ll get at least 100 answers, if not more. At AWS, we define it as a service or system which can perform tasks that usually require human-level intelligence such as visual perception, speech recognition, decision making, or translation. On this new AWS blog, we’ll be covering these areas and more, with in-depth technical content, customer stories, and new feature announcements.
The challenges related to building sophisticated AI systems center mostly around scale: the datasets are large, training is computationally hungry, and inferring predictions can be challenging to do at scale or on lower-power and mobile devices. Customers have been using AWS to solve these general problems for years, and the ability to be able to access storage, GPUs, CPUs, and IoT services on demand has emerged as a perfect fit for intelligent systems in production. AWS has become


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Deploystack – Curated list of best tools for launching your website

All the hosting services presented here are “Infrastructure as a Service” (you pay to rent a machine and you are free to do whatever you want) but Heroku is a “Platform as a Service”. You don’t get a machine. Instead you get a service that will allow you to deploy your application. This means that Heroku is “enforcing” the workflow on you – your DB choices are limited to only PostgreSQL, to deploy your application, you have to use the `Heroku Toolbelt` (which works in a similar way as pushing latest changes to github), etc. So even though, it’s not a big problem (and for some, it might actually be easier, as Heroku will take care of securing your machines and doing all administrative tasks that you would have to do with your own machine), it’s not the “do what you want” approach that other companies give you.


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Kubernetes on Microsoft’s Azure Container Service is now generally available

 Kubernetes, the Google-incubated open source container orchestration system, is quickly becoming the de facto standard for managing large container deployments. Microsoft launched a preview of support for Kubernetes in its Azure Container Service last year; today it is taking this service out of beta and making it generally available. Read More


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Kubernetes is now generally available on Azure Container Service

Microsoft and Google don’t get along all that often, but they do agree on using Kubernetes for cloud container orchestration.
Kubernetes is generally available for use with Azure Container Service (ACS), Microsoft’s managed cloud container hosting offering, as of Tuesday. ACS support for Kubernetes comes along with the service’s existing support for the Apache Mesos-based DC/OS and Docker Swarm.
Containers provide an isolated, portable and consistent runtime for applications that’s particularly well-suited to deployment in a cloud environment. Orchestrators like Kubernetes help manage groups of containers. Many cloud providers like Microsoft offer services that help simplify the management of that whole system even further; ACS is one such service.To read this article in full or to leave a comment, please click here


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Bash and Windows Subsystem for Linux Demo [video]

Windows is built for developers, and the Windows 10 Creators Update is no exception. In this session, we’ll focus on how Visual Studio 2017 and the Windows 10 Creators Update make you more productive. We’ll discuss updates to the Windows Device Portal, improvements to Windows Developer Mode, Bash and Console, and many other cool advances.


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