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Directed Energy: Transforming the Future of Warfare

Directed Energy Technology

Directed-energy technology is already an indispensable component of the military and has tremendous potential for the future. The evidence indicates that directed-energy will soon become the most significant technology for success on the battlefield. Directed-energy technologies support warfighting enablers, such as robotics, information technology, space technology, and drones. Moreover, it is the best defense against new threats, such as cyber warfare, missile proliferation, armed drones, and small boat swarms.

Directed-energy technologies can also support many new operational tasks, such as curtailing the number of ground troops, reducing collateral damage, long distance strikes, and improved situational awareness. Finally, directed-energy can support weapons platforms and communications systems located in all war-fighting domains. In order to meet new challenges on the battlefield, the U.S military should immediately embrace the war-fighting potential that directed-energy technologies possess. Learn More

 

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Generative Design: Improve Performance with AI-Driven Design

Generative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.

 

Quickly generate high-performing design alternatives—many that you’d never think of on your own—from a single idea. With generative design, there is no single solution; instead, there are multiple great solutions. You choose the design that best fits your needs. Learn more

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Generative Design with Autodesk Inventor

Generative design mimics nature’s evolutionary approach to design. Designers or engineers input design goals into generative design software, along with parameters such as materials, manufacturing methods, and cost constraints. Unlike topology optimization, the software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t. Read more