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AI & IT

Avionics software planning and development process and standards

Contemporary aircraft, both civilian and military, are equipped with various radio–electronic onboard devices, which support a pilot in executing complex air missions. The rapid development of digital electronics and IT, increasingly distinct over the recent years, requires a pilot of a modern aircraft to have the in-flight support of onboard …

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Augmented Reality Systems for soldiers are set to Revolutionize Battlefield Operations by drastically improving the situational awareness & decision-making

Military to succeed in their missions, require a robust, multi-faceted picture of their operational environments, including the location, nature and activity of both threats and allied forces around them. Warfare is becoming increasingly networked, so finding an effective way to quickly display the deluge of information available, in an easily …

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Human to Machine Interface (HMI) for controlling Autonomous Killer Satellites

The US China, and Russia have also reportedly developed so-called “inspection satellites” that can maneuver close to other spacecraft in low orbits and examine them for malfunctions. The robots could fix minor maintenance issues, keeping up with current orbiters as they age and sustain damage.   However, this technology is …

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Artificial Intelligence autonomising the battlefield with autonomous, smart and intelligent systems

Artificial Intelligence technologies aim to develop computers, or robots that match or exceed the abilities of human intelligence in tasks such as learning and adaptation, reasoning and planning, decision making and autonomy; creativity; extracting knowledge and making predictions from data.   Within AI is a large subfield called machine learning …

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DARPA RACER-Sim will employ simulation tools to accelerate development of military autonomous ground vehicles for the battlefield

Modelling is the process of representing a model (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) which includes its construction and working. This model is similar to a real system, which helps the analyst predict the effect of changes to the system. Simulation of a …

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Big data analytics trends and market

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things …

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Civil Rights protection on Social Media through Human rights-based AI/Machine Learning

Security is the state of being free from threat. To mitigate the threat, we require technology. The technology uses scientific knowledge in the form of new processes, materials, devices, systems or tools. For all of us, most important is human security which means freedom from threats to our lives, safety and …

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Natural Language Processing (NLP) can automate military intelligence and provide hands-free communication between a soldier and robots

Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.   The technology can then accurately extract information and insights contained …

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DARPA grant to Penn State for modelling disruptions to the U.S. financial system

Financial markets refer broadly to any marketplace where the trading of securities occurs, including the stock market, bond market, forex market, and derivatives market, among others. Financial markets are vital to the smooth operation of capitalist economies. When financial markets fail, economic disruption including recession and unemployment can result.   …

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DevSecOps for quick delivery of mission-critical capabilities

As the speed and frequency of releases increase, traditional application security teams cannot keep up with the pace of releases to ensure each release is secure. To address this, organizations need to build in security continuously across the SDLC so that DevOps teams can deliver secure applications with speed and …

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