Designing UX to Consider Cognitive Load
In User Experience, our goal is to constantly improve our customer’s interaction with our product. We iterate on our feature designs based on insights and feedback from user experience evaluations. This cyclical process brings us ever closer to a product that is intuitive, useful, and delightful for its users. Many qualities contribute to creating a […]
Shield AI Fundamentals: On Resilient Intelligence
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation about Trust and Robotic Systems. You are the director of the Resilient Intelligence Lab (RISLab) at Carnegie Mellon University. When choosing to name the lab, why did you use the term resilient? The goal of the research […]
The Relationship Between Intelligence & Learning
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation about Trust and Robotic Systems. How do you define intelligence in the context of robotic systems? Within the context of organic systems — humans, animals, plants — there are more formal definitions of what we mean by […]
What is Deep Learning?
A conversation with Vivek Krishnan, an AI Engineer at Shield AI. This is the first part of our conversation about Deep Learning. What is deep learning? Deep learning is a specific branch of machine learning that creates models using deep neural networks. The two terms have become somewhat interchangeable — deep learning and deep neural […]
How Does Deep Learning Relate to AI?
A conversation with Chris Barngrover, Shield AI’s Director of AI Engineering – Scene Understanding. This is a continuation of our conversation about Deep Learning. How does deep learning relate to AI and machine learning? Artificial intelligence, or machine intelligence as we often think of it, is when a robot or machine runs algorithms that allow […]
Three Things to Evaluate When Visiting a Supplier
In addition to designing the software and the hardware for AI systems, Shield AI is also responsible for producing the hardware in our systems. To build our robots, we have established and cultivated relationships with suppliers from whom we source the materials. An essential step in our sourcing process is to conduct onsite assessments at […]
What is Tolerance Analysis?
A conversation with Gabe Mayo, Shield AI’s Vice President of Hardware Engineering. What is tolerance analysis and what it is used for? Tolerance analysis is about determining how close something is to the mark and how far it will deviate. We can explore the concept through the following example: Imagine you are taking a tightrope […]
Using AI to Amplify Human Ability
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation about Trust and Robotic Systems. Using AI to Amplify Human Ability We’ve spoken extensively about human expectations for AI systems. Are there other examples of something humans expect AI systems to do that is not necessarily inherently […]
On Humans Interpreting AI and Robot Behavior
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation about Trust and Robotic Systems. How do humans factor into trust of robotic systems? Humans trust engineered systems that adhere to performance expectations. If a system works as expected, we tend to trust it. Interestingly, if the […]
Trust and Robotic Systems
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation on Trust and Artificial Intelligence. What does trust mean in the context of robotic systems? For a robotic system, trust is about the system engaging as expected, in a consistent manner, time and time again.The more that […]
