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.
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.
New Frontiers in Real-Time Software
Efficient execution is key to real-time mission-critical operating systems software, yet new demands are emerging such as safety-critical operations for avionics and other life-critical applications.
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.
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.
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.
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.
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.
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.
Artificial Intelligence and Autonomous Vehicles
The use of artificial intelligence (AI) based machine learning technologies in autonomous vehicles is on the rise.
Curtiss-Wright, Green Hills, and L3Harris Technologies Demo FACE Conformant Software Running on 7th Gen Intel Xeon Platform
The demo features L3Harris’s FliteScene® Digital Moving Map Software, Green Hills Software INTEGRITY-178® tuMP RTOS, and Curtiss-Wright Single Board Computers and Graphics Modules.
Curtiss-Wright Showcases Latest Avionics, Vetronics, and Naval Solutions at DSEI 2019
Featured products will include ultra-small form factor mission computers and network switches, rugged high capacity storage solutions - such as the Data Transport System, and size, weight, and power (SWaP)-optimized embedded avionics systems - such as the ultra-lightweight Fortress Crash Protected Recorder.