Release date: 2017-06-12
army
I-Portal Portable Evaluation System (PAS) 
The I-Portal PAS is a virtual reality headset that is connected to a computer program that reads a series of eye movements to determine if a subject has sustained traumatic brain damage. This technology is designed to provide accurate and timely diagnosis of head injuries for soldiers.
Resuscitation intravascular aortic occlusion balloon (REBOA)
REBOA is a three-dimensional plastic inflatable balloon that allows surgeons to stop bleeding. It helps maintain blood flow to key organs until surgery can control bleeding. 
Medical simulation and training research and development
Medical simulations are designed to increase the efficiency of medical training. By identifying medical training gaps, the Medical Simulation and Effectiveness (MSP) branch researches, develops, and applies innovative technologies and measures to improve human health performance. Advanced medical training and simulation techniques will directly affect the amount of life saved on the battlefield. 
Warrior Damage Assessment Model (WIAMan) 
WIAMan is the world's first crash test dummy for a full-body explosion test. WIAMan will optimize and improve the protection and survivability of ground vehicle systems and quantify the threats to soldiers.
navy
Dust plasma 
Dust plasma is a charged dust particle that naturally exists in the middle layer of the atmosphere. Dynamic dust plasmas have the potential to open interrupted communication channels for hypersonic and reentry vehicles, and may also help to understand electrical neutrality issues during 3D printing.
Naval Medical Research Center Biodefense Research Bureau Mobile Lab 
The Center for Biological Defense Research (NMRC BDRD) of the Naval Medical Research Center developed the first portable laboratory for molecular testing on the battlefield: it weighs about 1,000 pounds (about 454 kilograms) and runs for three people; it can carry commercial flights, only It requires gasoline and oil to work; it has sufficient replenishment for about 150 samples by polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA); it also includes personnel protection, a generator, and a freezer. Battlefield lighting, as well as battlefield uninterruptible power supplies (UPS).
Quantify mild traumatic brain injury
The US Naval Research Laboratory has been developing methods to expose cell cultures to real, simulated explosions and shock environments in order to understand the explosive operational environment, improve training programs, and reduce “mild traumatic brain injury†(mTBI)/medical Cost, and quantify the explosive properties that cause cell changes. The ultimate goal of the study was to design and manufacture a mobile, lightweight, and comfortable helmet for environmental combatants in various theaters. 
Transparent bionic armor
The transparent bionic armor developed by the US Naval Research Laboratory enhances the protection of combatants while reducing load, improving survivability, mobility and transportability. 
air force
Synthetic biology approaches advance biosensor development 
Synthetic biology facilitates the development of sensor detection modules and customizable materials. Highly specific sensor modules have been used to synthesize organisms. Expanding the sensing element to more stable biomolecules such as DNA aptamers and peptides makes a more convenient solution possible.
Since 2006, AFRL has been the first to develop biosensor materials, using synthetic biology methods to increase operational applications.
AFRL genetically engineered microorganisms are sensitive to the detection of target compounds and biomarkers and are widely used in mitigation, defense, medicine and safety. The team has produced bacteria to detect non-natural chemicals and report the results through fluorescent proteins.
Machine learning based on neural morphology computer 
Losing network connectivity, man-made control, or landing in controversial areas can lead to mission failure. A synthetic aperture radar (SAR) image in which a fighter cannot identify the target will be a major drawback. This requires a technique that can detect targets and operate without the need for external support.
AFRL combines machine learning, neural computing technology, and IBM TrueNorth processors to reduce reliance on external factors. The application of deep neural network (DNN) can achieve over 90% accuracy and energy efficiency of more than 20 times.
Machine learning is an artificial intelligence that learns from data and then performs cognitive functions without explicit programming. Using a neural-like computer inspired by 16 IBM TrueNorth processors, the working mechanism of the human brain can process photo and infrared and radio frequency (optical/infrared/radio) pictures and videos, which can then be detected by target.
This technology provides warfighters with new capabilities, such as enhanced big data analytics, faster target/event identification, and increased situational awareness. Our goal is to make decisions in a more timely and determined manner. This tool is suitable for drones in combat zones, providing up to 100 times more energy efficiency, enhanced intelligent advanced processing, analysis and decision making, and autonomous intelligence, surveillance and reconnaissance capabilities.
As this technology advances, we will be able to assemble smaller computers into the aircraft without compromising data processing capabilities. Future applications include computers connected to multiple platforms.
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