Amazon VGT2 Las Vegas: Empowering Education with Machine Learning

Amazon VGT2 Las Vegas: Empowering Education with Machine LearningMore Info

The Jupyter notebook, a browser-based computational tool, offers an engaging learning experience for both students and educators, enhancing programming skills. However, establishing collaborative Jupyter notebooks at classroom and institutional levels can often be a labor-intensive and costly process. Amazon SageMaker Studio Lab, a free service that leverages Jupyter notebooks, simplifies the setup by managing configurations and security for multi-user environments. This allows educators to concentrate on their teaching while enabling learners to accelerate their understanding of machine learning (ML). For more insights, check out this another blog post here.

Open Data Initiatives on AWS: A Hub for Research

By Sarah Johnson
Published on 14 JUL 2022

The AWS Open Data Sponsorship Program facilitates access to high-value, cloud-optimized datasets, making them publicly available on AWS. The complete roster of these datasets can be found on the Registry of Open Data on AWS and is also accessible via AWS Data Exchange. Recently, we introduced 15 new and updated datasets, including OpenFold and OpenAlex, alongside radar data from Capella Space. These resources offer researchers a wealth of information to explore.

Insights from Amazon re:MARS 2022 for Public Sector Innovations

By Kevin Smith
Published on 08 JUL 2022

The Amazon re:MARS 2022 conference assembled thought leaders and technical experts who are reshaping the landscape of machine learning, automation, robotics, and space exploration. The advancements in these domains are set to fuel innovation for decades ahead. In this article, we explore key announcements from re:MARS that pertain to the public sector and highlight some of the pioneering organizations that showcased groundbreaking technologies.

Combatting Improper Payments with Machine Learning

By Laura Brown, Ethan Green, and Mia White
Published on 10 JUN 2022

To tackle synthetic fraud, public sector agencies should enhance their traditional improper payment detection systems by integrating machine learning techniques. By utilizing ML across diverse datasets, including social media, agencies can create a detailed risk score for each individual or transaction, streamlining the identification of improper payments. This blog presents a foundational architecture for a machine learning-based solution to detect improper payments using AWS ML services. For further details, this resource is an authority on this topic.

AI-Driven Robotics: Enhancing Patient Care in Healthcare

By Emily Carter and Robert Lewis
Published on 06 MAY 2022

The ongoing nursing shortage has been exacerbated by the pandemic, prompting hospitals to rethink their staffing strategies. Innovative healthcare systems are now leveraging cloud-powered robotic solutions, including artificial intelligence and machine learning, to allow nurses to devote more time to patient care.

Guiding Students Towards Affordable College Options

By Jessica Taylor and Mark Davis
Published on 25 APR 2022

Moneythink, a nonprofit focused on education technology, is addressing college affordability and accessibility challenges. We developed DecidED, a web application hosted on AWS that assists students nationwide in navigating financial aid options and budgeting for college expenses. This initiative aims to provide financial transparency, especially for historically marginalized students facing institutional barriers.

Personalized Learning Experiences via AI and Machine Learning in EdTech

By Rebecca Smith
Published on 22 MAR 2022

As artificial intelligence and machine learning become more accessible, EdTech companies are leveraging these technologies to tailor educational content to the unique needs of learners and educators. Discover how startups and AWS EdStart Members are pioneering these advancements, transforming the education landscape.

Bringing Satellite Imagery to Smallholder Farmers with Open Data

By Brian Young
Published on 15 MAR 2022

Through the Amazon Sustainability Data Initiative, AWS collaborates with DigiFarm to enhance precision farming practices using cloud technology and open data, aiming to make agriculture more sustainable and efficient.

Boosting Engagement: How Skillshare Improved Click-Through Rates with Amazon Personalize

By Angela Brown, David White, and Sarah Miller


Comments

Leave a Reply

Your email address will not be published. Required fields are marked *