AWS Startups Blog
Tag: AI
Terry Sejnowski on the AI Revolution
If you use a voice-based personal assistant like Alexa, chances are advances in AI have already made it into their backend for companies to yield savings from processing efficiency. But sooner or later, deep learning is going to change your life.
Frankenstein AI Explores What it Means to Be Human
Artificial intelligence, one of the most promising technological developments of the past decade, has had a slow start finding wide use cases. Right now, it’s primarily being used by marketers and the military. But is that all it can do?
Caltech’s Pietro Perona on How Deep Learning Can Help You Classify Birds and Trees
As the co-creator, with Cornell Tech Professor Serge Belongie, of the AI and machine learning-based visual classification system Visipedia, Pietro Perona has spent the past seven years working on a “switchboard” that lets anyone, everywhere ask questions and immediately obtain an answer.
James CEO João Menano on Expanding Credit Opportunities with AI
Assigning credit risk to people who apply for business loans, credit cards, and home mortgages has mostly been done by weighing some 10 or 20 attributes. Take those attributes—and we’re all familiar with some of the things that make our credit scores rise and fall, including timeliness of payments, debt to income ratio, and defaults—and crank them through your favorite logistic regression model or scorecard. The result is your assigned credit risk, and depending on the number, you either get your loan or you don’t.
Sentient Technologies Chairman Antoine Blondeau on the Evolution of AI
When Antoine Blondeau, the co-founder and chairman of Sentient Technologies, first began working with artificial intelligence, the concept was still known as “algorithmic science.” In the decades since, AI has evolved into a much sexier topic because, according to Blondeau, when operating on mission speed and plugged into the right workflow, AI will learn quicker and faster than humans—resulting in business models that can evolve at machine speed. “That is the revolution,” notes Blondeau.
AI or Die: Why companies must Invest in AI
The goal of AWS since day one is to take technology that has limited reach and make it available to many developers. We do it with storage, compute, data warehouse, data and analytics, and now with AI.
Using Amazon Rekognition to enhance MacOS Finder Tags
Sunday morning I was looking at a large folder on my laptop containing hundreds of images. Thumbnails are wonderful, but what I really wanted was an easy way to search my folder quickly for photos that contained picture of cliffs. Here’s how I used Rekognition to do it.
A Look Inside Vidora’s Globally Distributed Low-latency A.I.
Guest post by Philip West, Founder, Vidora Artificial Intelligence (A.I.) has dominated the tech headlines throughout 2016, and it shows no signs of letting up as we kick off 2017. While the tech giants push A.I. in their own specific ways, many other businesses are looking for solutions to stay up to speed and […]
Adapting Deep Learning to Medicine with Behold.ai
AWS Startup Spotlight
Using Machine Intelligence to Predict Your Career Success
Here at untapt, we’re using machine learning to reinvent the hiring process for software engineers. We’ve built a digital hiring platform that matches developers with hiring managers and puts them directly in touch with each other. Initially focused on FinTech, untapt will soon expand to cover technology hiring across broad industry verticals. I want to share a bit about our history, how we came to be, what we’re planning next, and how AWS helped make it happen.