Tag: Machine Learning

According to the World Wildlife Fund, approximately three billion people in the world rely on both wild-caught and farmed seafood as their primary source of protein; yet the United Nations Food and Agricultural Organization estimates that eighty-five percent of marine fish stocks are either fully exploited or overfished. To combat this, the annual Fishackathon, first organized by the U.S. Secretary of State’s Office of Global Partnerships in 2014 and organized this year in partnership with HackerNest, took place in over 40 cities around the globe.

Our Canadian customers came together to showcase their latest artificial intelligence (AI) applications using machine learning (ML) on AWS. At Amazon, we’ve been investing in machine learning technology for over 20 years. Our mission is to put machine learning in the hands of every developer and data scientist.

School’s out for the summer for most students. And still, AWS Educate was top of mind for our readers. Learn about one of the first cloud-computing degrees offered at community colleges, Alexa’s new badge, and a new Machine Learning Pathway available for Educate members. Check out our top five posts from June.

Artificial intelligence (AI), machine learning (ML), and deep learning are cutting-edge technologies that are changing and enhancing many of our daily tasks from natural language processing and self-driving cars to enhanced data mining and medical informatics. But what do these terms mean, and how can we use these technologies?

AWS Educate is committed to providing students and educators with resources needed to accelerate cloud learning, which is why we have collaborated with Udacity – an online education provider for lifelong learners – to bring our members access to skills, knowledge, and practice for today’s machine learning technology. Beginning on May 18th, AWS Educate members will receive an exclusive benefit of $200 worth of free content on their Machine Learning Engineer Nanodegree Program. With Udacity, AWS Educate members can master valuable machine learning skills and use their AWS Promotional Credits to gain hands-on experience with cutting-edge AWS Machine Learning technologies like Amazon SageMaker.

If you have ever searched for directions, called an Uber, or looked up a trailhead, you have used DigitalGlobe’s imagery or information derived from it. DigitalGlobe went all-in on AWS to meet the growing demand for commercial geo-intelligence, migrating its entire 18-year imagery archive to the cloud. The company used AWS Snowmobile to move 100 petabytes of data to the cloud, allowing it to move away from large file-transfer protocols and delivery workflows.

Twitter has hundreds of millions of active users each month and supports multiple languages on their platform. These users engage with nonprofits, need citizen services, and learn at schools, universities, and other educational institutions. As a consequence, public sector organizations look to social media not only to communicate with the public, but also to gain insights about the citizens, volunteers, and students they serve. Wouldn’t it be great to know if people had positive or negative opinions about your city, school, nonprofit, or organization? What are they talking about and how many other people share that view?

Artificial intelligence (AI) is everywhere in our day-to-day lives – whether it’s ordering household products, searching the Internet, playing music, providing weather forecasts, or many other tasks. Entrepreneurs all over the world are also embracing solutions AI can offer by improving efficiency and making their products more user-friendly and accessible to consumers. At Amazon, we’ve […]

The Intelligence Advanced Research Projects Activity (IARPA) Machine Intelligence from Cortical Networks (MICrONS) program seeks to revolutionize machine learning by better understanding the representations, transformations, and learning rules employed by the brain. We spoke with Dean Kleissas, Research Engineer working on the IARPA MICrONS Project at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), and […]

Machine learning enables computers to make predictions from data without having been explicitly programmed to do so. Developers and researchers use AWS to develop and refine custom machine learning algorithms to help solve complex problems like classifying images and text. In this post, we profile two academic researchers who used the AWS Cloud Credits for […]