A method to enable robotic paper folding based on deep learning and physics simulations

To tackle different real-world tasks, robots should be able to handle and manipulate a variety of objects and materials, including paper. While roboticists have successfully improved the ability of humanoid robots or robotic grippers to handle several materials, paper folding remains a rarely explored topic within the robotics community.

credit card webinar screen shot 1024x581 1

Generative AI to Improve Credit Card Loyalty

Banking looks different than it did in the past. As more consumers adopt online banking platforms to better suit their increasingly-digital lives, their expectations for financial institutions have also shifted.  Today, consumers are looking for seamless, individualized experiences from the financial companies they work with. But how can companies deliver these experiences to them?  In …

image8

Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation

Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement learning are often far from natural: instead of using RL to learn through trial and error by actually attempting the desired task, typical RL applications use a …

ml 11307 image001

­­How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker

This post is co-written by Christopher Diaz, Sam Kinard, Jaime Hidalgo and Daniel Suarez  from CCC Intelligent Solutions. In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. CCC is a …