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The Case for Distributed and Remote Management of Open Standards-Based Tactical Networks for Vehicles

To exploit the potential benefits of new technologies such as artificial intelligence (AI), robotics, video analysis, Internet of Things (IoT), augmented reality and virtual reality, and other innovative technologies on mobile platforms at the tactical edge, Department of Defense (DoD) communications programs must effectively deploy advanced IT infrastructure, connectivity, and compute resources.

11/19/2020
Military & Aerospace Electronics

The Future of Artificial Intelligence and Quantum Computing

Size, weight, power consumption, and cooling technologies today block quantum computing from the embedded world, but new generations should yield advances in artificial intelligence and computer security.

08/25/2020
Military Embedded Systems

Tackling the AI Paradox at the Tactical Edge

In the defense industry, AI is on the path to becoming a loyal companion to the warfighter and manufacturers alike. As technology progresses, so does the range of defense capabilities that AI could not only supplement but eventually manage.

06/15/2020
Military & Aerospace Electronics

Artificial Intelligence and Embedded Computing for Unmanned Vehicles

The latest generation of unmanned vehicles operating on land, in the air, and at sea no longer simply are remotely operated. These advanced systems have built-in intelligence to learn from their experiences and make their own decisions.

05/01/2020
Military & Aerospace Electronics

The Shrinking World of Small-Form-Factor Embedded Computing

Industry experts say open standards are helping drive development in small-form-factor battlefield and aerospace hardware like system-on-chip and single-board computers.

03/25/2020
Military Embedded Systems

Military AI Innovation, SOSA Hot Topics at Embedded Tech Trends

The COTS Confidential Roundtable gathers experts from the defense electronics industry – from major prime contractors to defense component suppliers.

02/06/2020
Electronic Design

Should You Send a CPU to Do a GPU’s Job?

Which is better for machine-learning applications: 2nd Generation Intel Xeon Scalable Processors or Nvidia’s T4? A head-to-head comparison helps explain whether a CPU or a GPU is best for your high-performance ML solution.

01/29/2020
Curtiss-Wright Announces New NVIDIA Quadro Turing TU104/106 GPGPU Processor Modules for ISR/EW and AI Applications

Curtiss-Wright Announces New NVIDIA Quadro Turing TU104/106 GPGPU Processor Modules for ISR/EW and AI Applications

New GPGPU modules expand Curtiss-Wright’s family of high-performance embedded computing (HPEC) processors for artificial intelligence (AI) applications.

12/03/2019