The convergence of technologies—from foundation AI models to diverse sensors and actuators to ubiquitous connectivity—is transforming the nature of interactions in the physical and digital world. People have accelerated their collaborative connections and productivity through digital and immersive technologies, no longer limited by geography or language or access. Humans have also leveraged and interacted with AI in many different forms, with the advent of hyperscale AI models (i.e., large language models) forever changing (and at an ever-astonishing pace) the nature of human-AI teams, realized in this era of the AI “copilot.” Similarly, robotics and automation technologies now afford greater opportunities to work with and/or near humans, allowing for increasingly collaborative physical robots to dramatically impact real-world activities. It is the compounding effect of enabling all three capabilities, each complementary to one another in valuable ways, and we envision the triad formed by human-robot-AI teams as revolutionizing the future of society, the economy, and of technology.

Catalyzing the Future of Collaborative Human-Robot-AI Teaming

Power in the modern world - military, economic, geopolitical - is built on a foundation of computer chips. America has maintained its lead as a superpower because it has dominated advances in computer chips and all the technology that chips have enabled. (Virtually everything runs on chips: cars, phones, the stock market, even the electric grid.) Now that edge is in danger of slipping, undermined by the naive assumption that globalising the chip industry and letting players in Taiwan, Korea and Europe take over manufacturing serves America`s interests. Currently, as Chip War reveals, China, which spends more on chips than any other product, is pouring billions into a chip-building Manhattan Project to catch up to the US.

In Chip War economic historian Chris Miller recounts the fascinating sequence of events that led to the United States perfecting chip design, and how faster chips helped defeat the Soviet Union (by rendering the Russians’ arsenal of precision-guided weapons obsolete). The battle to control this industry will shape our future. China spends more money importing chips than buying oil, and they are China`s greatest external vulnerability as they are fundamentally reliant on foreign chips. But with 37 per cent of the global supply of chips being made in Taiwan, within easy range of Chinese missiles, the West's fear is that a solution may be close at hand. 

From "Chips War" to "Chiplets War"

You don't need to understand how to fly a plane or design a plane to understand what aviation can do for war. The same thing with artificial intelligence.
This talk walks you through strategic alignment, how the Marine Corps is thinking about implementing AI across the Corps and in support of both Marine Corps operations in the broader naval mission. 

Marine Corps is very good at fighting. But if you look at how we fought for the last 50 years compared to where we could be in the future, we certainly can fight smart. The ability of MC to pull in data, to pull from different sources, from different venues and things, apply analytics, and help us to decision advantage across a range of what we do. Whether that is at the pointy end of the stick, whether that's recruiting, whether that's our internal talent management, whether that's logistics, whether that's supply system,the ability for us to leverage some of these tools is not near infinite, but we have an enormous amount to do and we want to overall be able to fight smart. But right now we're not and this is our path to how we're gonna get to that to take into account this the emerging technology where we think this not only where AI is today, but where we think AI is going over the next few years and then in the beyond into the 2030.

Advancements in Fighting Smart: AI Integration at Speed

What we want to aim for is a navy where the autonomous systems are allowed to do what machines do best. And leave humans for things that they do best, like making decisions and doing analysis and things like that. We may argue the fact over how, how good we are humans are at that. But, but we'll just focus on what do machines do best.

Keynote Talk: Rear Admiral Douglas Small

This talk highlights the strategic vision for so called responsible autonomous AI, emphasizing a system of systems approach to integrating our perception systems, synthetic training systems, cognitive systems prospection, which is very central to cognition and critical for evidence based decision, and of course teaming and command and control based on assessments of the operational environment.

Underline digital video library

Catalyzing the Future of Collaborative Human-Robot-AI Teaming

From "Chips War" to "Chiplets War"

Advancements in Fighting Smart: AI Integration at Speed

Keynote Talk: Rear Admiral Douglas Small

Keynote Talk: Dr. Kimberly Sablon