On Overcoming Obstacles
At Shield AI, we pride ourselves on taking on challenges and embracing the obstacles that come with them. We speak often about working through these obstacles, either by creatively bypassing them, or innovating in a way that allows us to power through them. When speaking about obstacles, and overcoming them, the focus is usually on […]
AI for Maneuver
We recently had the opportunity to discuss AI for Maneuver with the Secretary of Defense and its role as one of the cornerstones of the DoD’s JADC2 operating concept, along with battle management networks and hypersonics. I wanted to highlight some of the aspects of this discussion from the industry perspective on what AI for […]
The Challenges of Robotic Perception
What are the primary challenges of robotic perception? The perception challenges we experience as humans are the same types of challenges that robots face when trying to perceive the world. There are many examples of this. To begin with, just as people have trouble seeing in the dark, robots may encounter situations in which their […]
Shield AI Fundamentals: On Perception
What does perception refer to in robotic systems? We’re referring to a robot’s ability to sense the environment around it, process the information that’s coming in from its sensors, and use it in order to perceive the environment, figure out where it is and how it’s operating relative to the environment, and leverage that information […]
Considering Communication in Coordinated Perception
Among multi-robot systems, what is the role of communication in perception? Communication is a consequential consideration within coordinated perception. Fundamentally, when we talk about coordinated perception, we are speaking about multiple robots moving through an environment engaging in perception. Consider the example of a 2-robot system with both robots moving through a building. Perhaps earlier […]
Shield AI Fundamentals: On Knowledge Representation
We’ve spoken extensively about intelligence and learning in artificial systems. Can you elaborate on the concept of knowledge? Within the context of artificial intelligence, knowledge represents everything that the robot needs to know in order to be intelligent. In essence, it represents the overarching logical framework — the concepts and the logical relationships — that […]
Shield AI Fundamentals: On Learning Methods
What is the difference between supervised, semi-supervised and unsupervised learning? Within machine learning there are several types of learning methods. There include: supervised learning, semi-supervised learning and unsupervised learning, as well as reinforcement learning. With supervised learning, you would provide the AI system with example input-to-output pairs of data. From these pairs, the system is […]
On Hard Work & Grit
Shield AI was founded to advance the mission of protecting service members and civilians with artificially intelligent systems – and do so at great scale. To do this, we would gather the best of the technology and security community in one place. This group would then advance new technologies, entering the extremely challenging National Security […]
Candidate Tips for Virtual Interviews
Given recent developments, many around the country are working remotely for the moment. During this time, companies like Shield AI, which are continuing to interview, hire, and on-board talent, have needed to quickly adapt our practices. Our team is working to transition touch-points that have traditionally been done in-person to remain effective when conducted remotely. […]
Tips for Effectively Running Remote Meetings
At Shield AI, we strongly believe that effective communication is a cornerstone of success. This includes running effective and efficient meetings. Since transitioning to remote work, we have found that running remote meetings require a slightly different skillset than traditional in-person meetings, but that when conducted properly, remote meetings can be extremely efficient. In order […]
