9 days ago

Thank You!

Big thanks for the great submissions!

While you wait for the results, take a look at all of the apps in the gallery. Stay tuned for the winner announcement on 20-NOV.

 


12 days ago

Pro Tips for the Final 24 Hour Stretch!

We're almost at home stretch! Here are a few pro trips to bring you to the finish line:

Make sure that you're using 2 or more AWS AI APIs and Lambda. We've seen a few submission with just one AWS AI API (e.g. project with chatbot powered by Amazon Lex). Please make sure that you're using two or more (e.g. Amazon Transcribe for voice to text transcription and Amazon Translate for natural text translation to Arabic, Chinese (Simplified), Chinese (Traditional), Czech, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish, and Turkish). Check out these tutorials on each API service here.

Plug

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13 days ago

2 Days to Go!

Quick shout out that you have two days left to submit your AI enabled app. Here are a few tips to give you and edge:

Submit multiple apps. Did you know you can build, publish, and submit multiple projects? Each application should be unique and submitted according to submission guidelines—so remember to publish each app and make a unique demo video for each of your apps. As long as you submit each of your entries according to the guidelines, they will be individually considered for judging and prize

Real AI use cases to your app.  Here a few examples using fully…

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17 days ago

LIVE Q/A Today (Friday) at 9:00AM PST / 12:0PM PST

Friends -

Friendly reminder, live QA with Adrian Cockcroft and the AWS AI expert team starts today (Friday) at 9:00AM PST / 12:00PM EST

Please join us to ask questions, share insights, and learn how to add AWS AI servcies to your app, right here on our slack channel #general!

Add to your calendar here!


19 days ago

LIVE Q/A with Adrian Cockcroft and AI Experts on Friday 2-NOV 9:00 AM PST!!!

Adrian Cockcroft, VP Cloud Architecture Strategy (ex BatteryVentures/Netflix/eBay/Sun) and AWS AI experts will take your questions live on slack this Friday at 9:00AM PST!

Add to your calendar here!

Adrian Cockcroft is vice president of cloud architecture strategy at Amazon Web Services, where he focuses on the needs of cloud-native and “all-in” customers and leads the AWS open source community development program. Adrian has had a long career working at the leading edge of technology and is fascinated by what happens next. He started out as a developer in the UK before joining Sun Microsystems. He was a founding member of eBay…

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19 days ago

Video Tutorials | Fully Trained Vision, Speech, and NLP API Services

Hey AI Builders!

With just 8 days to go, here are a few videos and use cases to give your submission an edge:

Video tutorials. Check out these video tutorials on how to add fully trained vision, speech, and natural language processing (NLP) AI APIs to your application:

  • Add Intelligence To Your Apps with Machine Learning | Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex (YouTube video here)
  • Efficiently Automate Speech and Text Intelligence | Amazon Transcribe & Amazon Translate (YouTube video here)
  • Build a Text Analytics Solution with Fully Trained…

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about 1 month ago

LIVE Q/A on Slack with Randal Hunt Thursday 10/25 9:30 AM PST!!!

 

Live Q/A with AI Expert Randall Hunt.

We're kicking off our live Q/A series with ML experts over the last weeks before November 7th submission deadline.

Randall Hunt is a Los Angeles-based senior technical evangelist and software engineer at Amazon Web Services. Python is his favorite language, but he can sometimes be found in the dark realm of C++. Randall is the author of a number of open source projects and a contributor to MongoDB, Homebrew, boto, and several other tools and libraries. Previously, Randall launched rockets at NASA and SpaceX, but he found his programming passion at MongoDB. He is…

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about 1 month ago

How to Pair Any Two AI API Services Together?

Building applications with vision, language, and speech intelligence can be a time consuming and resource-draining task. The good news is that with machine learning services by AWS, you can plug-in pre-built AI functionality into your apps without having to worry about machine learning models.

Which two machine learning services will you combine for an awesome application? This competition challenges you to apply two or more vision, speech, and language APIs to a new or existing app. Here are a few examples:

Build an application that recognizes player faces in a sports video feed (Amazon Rekognition), transcribes and translates speech to…

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about 2 months ago

How About Creating a Team?

In less 40 days, 3 participants will win $10,000 in prizes!

Trouble getting your idea off the ground? Create a team other like minded participants! Meet, brainstorm, and collaboarate with other developers here on our slack channel and use the #teambuilding room.

With the weekend just starting, now is better than ever to build and submit your project!

Good luck!


about 2 months ago

Tips and Tricks for Applying Pre-Trained Machine Learning APIs to a New or Existing Application

Welcome! Now that you’re here… what are you thinking about building?

Get started with tutorials and blog posts on building applications with Amazon Rekognition, Amazon Translate, Amazon Transcribe, Amazon Comprehend, Amazon Polly, and Amazon Lex here in the competition resources section

Here are a three 10 minute tutorials get you started:

10 Minute Tutorial: Translate Text Between Languages in the Cloud

10 Minute Tutorial: Analyze Sentiment in Text

10 Minute Tutorial: Add Voice to Your WordPress Site

Questions?

If you have any questions about the hackathon, please post on the discussion- forum or reach out to us on our…

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3 months ago

Quick-start guide

Here's how to get started with the AWS Artificial Intelligence Hackathon! The submission period opens on August 8, 2018 and ends November 7, 2018, at 5pm ET.

How to Get Started:

  • Step 1 - Create an account on AWS.
  • Step 2 - Review the rules. Thoroughly read the competition rules to ensure your submission complies.
  • Step 3 - Learn about machine learning and serverless from AWS with documentation here in resources and consider inspiration on how to get started.
  • Step 4 - Build! Create or add intelligence to an existing project. Shoot your demo video that demonstrates your project…

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