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Cognitive Technology Threat Warning System
The Cognitive Technology Threat Warning System, otherwise known as (CT2WS), is a brain-computer interface designed to analyze sensory data and then alert foot-soldiers to any possible threats, passive or direct. CT2WS is part of U.S. Department of Defense's effort to produce an efficient and working Network-centric infantryman. Project Proposal Proposed in early 2007, DARPA came to believe that a visual warning system could be produced and developed via an integration of technology and artificial intelligence. By combining discoveries in flat-field, wide-angle optics, large pixel-count digital imagers, ultra-low power analog-digital hybrid signal processing electronics with cognitive visual processing algorithms, and neural network-based target detection signatures, DARPA felt a breakthrough was possible, but not likely to be achieved by independent researchers. CT2WS further requires that human brain activity must be integrated with the technology. Selection of research partn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neural Network
A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Transformation Of The United States Army
The reorganization plan of the United States Army is a current modernization (2017–2028) and reorganization (2006–2016) plan of the United States Army that was implemented (2006–2016) under the direction of Brigade Modernization Command. This effort formally began in 2006 when General Peter Schoomaker (the 35th Army Chief of Staff), was given the support to move the Army from its Cold War divisional orientation to a full-spectrum capability with fully manned, equipped and trained brigades; this effort was completed by the end of 2016. It has been the most comprehensive reorganization since World War II and included modular combat brigades, support brigades, and command headquarters, as well as rebalancing the active and reserve components. The plan was first proposed by the Army's 34th Chief of Staff, Eric Shinseki, in 1999, but was bitterly opposed internally by the Army. By 2020, the Army's 40th Chief of Staff was calling for transformational change, rather than increm ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Future Combat Systems
Future Combat Systems (FCS) was the United States Army's principal modernization program from 2003 to early 2009. Formally launched in 2003, FCS was envisioned to create new brigades equipped with new manned and unmanned vehicles linked by an unprecedented fast and flexible battlefield network. The U.S. Army claimed it was their "most ambitious and far-reaching modernization" program since World War II. Between 1995 and 2009, $32 billion was expended on programs such as this, with little to show for it. In April and May 2009, Pentagon and army officials announced that the FCS vehicle-development effort would be canceled. The rest of the FCS effort would be swept into a new, pan-army program called the Army Brigade Combat Team Modernization Program. Development history The early joint DARPA–Army Future Combat Systems program to replace the M1 Abrams main battle tank and Bradley Fighting Vehicles envisioned robotic vehicles weighing under six tons each and controlled remotely ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DARPA Grand Challenge (2007)
The third driverless car competition of the DARPA Grand Challenge was commonly known as the DARPA Urban Challenge. It took place on November 3, 2007 at the site of the now-closed George Air Force Base (currently used as Southern California Logistics Airport), in Victorville, CaliforniaGoogle map, in the West of the United States.Welcome Discovery's Science channel followed a few of the teams and covered the Urban Challenge in it series. Overview The $2 million winner was Tartan Racing, a collaborative effort by Carnegie Mellon University and General Motors Corporation, with their vehicle "Boss", a heavily modified Chevrolet Tahoe. The second-place finisher earning the $1 million prize was the Stanford Racing Team wit ...[...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DARPA Grand Challenge
The DARPA Grand Challenge is a prize competition for American autonomous vehicles, funded by the Defense Advanced Research Projects Agency, the most prominent research organization of the United States Department of Defense. Congress has authorized DARPA to award cash prizes to further DARPA's mission to sponsor revolutionary, high-payoff research that bridges the gap between fundamental discoveries and military use. The initial DARPA Grand Challenge was created to spur the development of technologies needed to create the first fully autonomous ground vehicles capable of completing a substantial off-road course within a limited time. The third event, the DARPA Urban Challenge extended the initial Challenge to autonomous operation in a mock urban environment. A more recent Challenge, the 2012 DARPA Robotics Challenge, focused on autonomous emergency-maintenance robots, and new Challenges are still being conceived. The first competition of the DARPA Grand Challenge was held on Marc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Defense Contractor
The arms industry, also known as the arms trade, is a global industry which manufactures and sells weapons and military technology. It consists of a commercial industry involved in the research and development, engineering, production, and servicing of military material, equipment, and facilities. Arms-producing companies, also referred to as arms dealers, or as the military industry, produce arms for the armed forces of states and for civilians. Departments of government also operate in the arms industry, buying and selling weapons, munitions and other military items. An arsenal is a place where arms and ammunition - whether privately or publicly owned - are made, maintained and repaired, stored, or issued, in any combination. Products of the arms industry include guns, artillery, ammunition, missiles, military aircraft, military vehicles, ships, electronic systems, military communications, night-vision devices, holographic weapon sights, laser rangefinders, laser sight ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Target Detection
Automatic target recognition (ATR) is the ability for an algorithm or device to recognize targets or other objects based on data obtained from sensors. Target recognition was initially done by using an audible representation of the received signal, where a trained operator who would decipher that sound to classify the target illuminated by the radar. While these trained operators had success, automated methods have been developed and continue to be developed that allow for more accuracy and speed in classification. ATR can be used to identify man made objects such as ground and air vehicles as well as for biological targets such as animals, humans, and vegetative clutter. This can be useful for everything from recognizing an object on a battlefield to filtering out interference caused by large flocks of birds on Doppler weather radar. Possible military applications include a simple identification system such as an IFF transponder, and is used in other applications such as unmanne ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Visual Processing
Visual processing is a term that is used to refer to the brain's ability to use and interpret visual information from the world around us. The process of converting light energy into a meaningful image is a complex process that is facilitated by numerous brain structures and higher level cognitive processes. On an anatomical level, light energy first enters the eye through the cornea, where the light is bent. After passing through the cornea, light passes through the pupil and then lens of the eye, where it is bent to a greater degree and focused upon the retina. The retina is where a group of light-sensing cells, called photoreceptors are located. There are two types of photoreceptors: rods and cones. Rods are sensitive to dim light and cones are better able to transduce bright light. Photoreceptors connect to bipolar cells, which induce action potentials in retinal ganglion cells. These retinal ganglion cells form a bundle at the optic disc, which is a part of the optic nerve ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sensory Data
{{Disambiguation ...
Sensory may refer to: Biology * Sensory ecology, how organisms obtain information about their environment * Sensory neuron, nerve cell responsible for transmitting information about external stimuli * Sensory perception, the process of acquiring and interpreting sensory information * Sensory receptor, a structure that recognizes external stimuli * Sensory system, part of the nervous system of organisms Business and brands * Sensory, Inc., an American speech technology company Other uses * Sensory analysis, a consumer product-testing method * Sensory garden, a self-contained garden area that allows visitors to enjoy a wide variety of sensory experiences See also * Sensor * Sense (other) A sense in biology and psychology, is a physiological mechanism that supports perception. Sense also may refer to: Music * Sense (band), a synthpop trio featuring Paul K. Joyce * ''Sense'' (In the Nursery album), 1991 * ''Sense'' (Mr. Children ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Signal Processing
Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing ''signals'', such as audio signal processing, sound, image processing, images, and scientific measurements. Signal processing techniques are used to optimize transmissions, Data storage, digital storage efficiency, correcting distorted signals, subjective video quality and to also detect or pinpoint components of interest in a measured signal. History According to Alan V. Oppenheim and Ronald W. Schafer, the principles of signal processing can be found in the classical numerical analysis techniques of the 17th century. They further state that the digital refinement of these techniques can be found in the digital control systems of the 1940s and 1950s. In 1948, Claude Shannon wrote the influential paper "A Mathematical Theory of Communication" which was published in the Bell System Technical Journal. The paper laid the groundwork for later development of information c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
