Once upon a time, site mappers were arcane scripts which could take hours or days to examine a single website. But, thanks to scalable & interoperable cloud algorithms, it now takes only minutes... and includes a multitude of handy features powered by machine learning: auto-tagging, summarization,...
Issue 49 This week we check out Facebook's pursuit to create computers with intelligence on par with humans, how Google's opening access to its speech recognition software, Amazon's Lex is now available to any developer building conversational bots, and more. Plus our favorite reads and some...
Building Intelligent Applications
Algorithmia was delighted to speak at Seattle's Building Intelligent Applications meetup last month. We provided attendees with an introductory view of machine learning, walked through a bit of sample code, touched on deep learning, and talked about about various tools for training and deploying...
Quickly Classify Clothing and Fashion Items in Images
You may already know that Algorithmia hosts scalable deep learning models. If you are a developer, you've seen how easy it is to run over 3,000 microservices through any of our supported languages and frameworks.
Issue 48 This week we check out how Google taught computers to draw, what AI innovation means to Canada, how the TPU stacks up against the GPU, and more. Plus our favorite reads and some projects to try at home.
Create a Custom Color Scheme From Your Favorite Website
In a recent Algorithm Spotlight post we introduced the Color Scheme Extraction algorithm which retrieves the top 15 colors that best approximates the color scheme of an image.
The Color Scheme Extraction algorithm is a great way to retrieve the colors of an image quickly with a serverless API...
Issue 47 This week we check out what it means to have machine learning systems with humans in the loop, how AI in the cloud is the next frontier for Amazon, Microsoft and Google, and our favorite reads and some projects to try at home.
Machine Learning with Humans in the Loop
TL;DR The most accurate machine learning systems to date are those that use a "human-in-the-loop" computing paradigm.
Though we have seen huge advances in the quality and accuracy of pure machine-driven systems, they tend to fall short of acceptable accuracy rates. The combination of...
Issue 46 This week we check out the future of work, why Elon's freaked out about AI, learn that we shouldn't let AI cook for us, and how deep learning is learning to dance. Plus our favorite reads and some projects to try at home.
Issue 45 This week we check out Y Combinator's new track for companies applying AI to factories, take a deep dive into the lasted autonomous car news from Nvidia and Uber, and relay our favorite reads from the week.