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 […]
Shield Spotlight: Ben Anderson
A conversation with Ben Anderson, a Hardware Engineer at Shield AI. You were one of the first people to join the Shield AI team, what was the company like in the early days? I joined the company when there were about 15 people. My team, the mechanical engineering team, was three people. Shield AI was […]
Shield Spotlight: Kenny Yokoyama
A conversation with Kenny Yokoyama, a Software Engineer at Shield AI. How did you first learn about Shield AI? I first heard about Shield AI from a classmate of mine from UCSD. He had just accepted a position with the company, and he shared with me how excited he was about the opportunity to work […]
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 […]
On Balancing Parenting and Start-up Life
Being a working parent is challenging. But is it tougher at a start-up? We sat down with three of our working-parent teammates at Shield AI to discuss the realities of parenting: What is it really like? How does start-up culture differ from other corporate? The impression is that start-up life and parenting don’t go together. […]
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 […]
Meet Our Leaders: A Conversation with Brian Losey
A conversation with Brian Losey, Partner at Shield AI. You served 33 years in the US Navy. I know you had a number of paths you could have pursued after retiring. What was it about Shield AI that motivated you to join? Shield AI embodies big thinking, big goals, and a big mission which is […]
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 […]
