Category: FAANG

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments, …

Read more “Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK”

In Deloitte’s annual “State of AI in the Enterprise” survey, 94% of business leaders identified AI as critical to their organizations’ success over the next five years. That survey also uncovered a 29% increase in the number of organizations struggling to achieve meaningful AI-driven business outcomes. Part of this challenge lies in the ability to …

Read more “Built with BigQuery: How to accelerate data-centric AI development with Google Cloud and Snorkel AI”

They say a house is not a home if there is no one there. Well what good is an advanced virtual space without access to digital assets like 3D chatbots to interact with? 3D chatbots are the bridge between the physical and digital as it grants that human-like connection in addition to providing a more seamless, …

Read more “Giving Life to the Metaverse with 3D Avatars”

AI image generators have come a long way in recent years. When they first started out, they were quite bad at drawing tents. This was because they could only generate images based on the few examples that they had been given. However, they have since learned how to generalize from these examples and are now …

Read more “This AI went camping”

In 2022, we began working at Chelsea and Westminster Hospital to reduce waiting times for cancer treatment. The early results of this work were highlighted in an article in The Times which has led to some further questions about what this work entails. Below, Joanna Peller and Tom McArdle, who lead our UK Health team …

Read more “Accelerating Patient Care with the NHS”

This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground …

Read more “Leveraging artificial intelligence and machine learning at Parsons with AWS DeepRacer”

This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters. In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI …

Read more “How Thomson Reuters built an AI platform using Amazon SageMaker to accelerate delivery of ML projects”

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a …

Read more “Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2”