The incorporation of artificial intelligence (AI) and robotics into control, perception, and machine-learning processes is necessary for the realization of fully autonomous intelligent systems. The integration of two technologies, robotics and AI, are essential for innovation and useful applications. That’s because AI and robotics share some key concepts, such as: Perception Cognition Action Learning Perception […]
Read More >Aviation: Taking Off With Emerging Technolgies
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There’s little doubt that emerging technologies are reshaping the future of aviation. Those technologies include robotics, artificial intelligence, the Internet of Things, unmanned aircraft systems and the push for hybrid and electric airplanes. The vast investment in artificial intelligence (AI) and Big Data could be seen as a promising way of increasing safety, efficiency and […]
Read More >Cloud Security: So Crucial, NSA Provides Strategies
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The high-level objectives of cloud security serve important functions. This includes: Ensure cloud data, users, and underlying systems are sufficiently secured against threats Prevent API exploitation Prevent data corruption vulnerabilities The threat landscape of the cloud differs from that of a traditional on-premises environment. An increasing reliance on the cloud brings new complexities and security […]
Read More >Swarm Robotics: Future Applications Coming Into Focus
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A swarm of robots is the coordination of multiple robots that can perform a collective task and solve a problem more efficiently than a single robot. Over the last decade, swarm robotics research has received significant interest from scientists due to its large field of applications in military or civil, including area exploration, target search […]
Read More >AI and ML: Bringing About a New Future
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The future of artificial intelligence (AI) and machine learning (ML) is the ability for a new way to interact with knowledge. The future of AI and ML is an exciting frontier with the potential to enhance our world in countless ways. That said, AI will likely become prominent in certain fields more than others. Take healthcare. AI […]
Read More >MBSE and SysML: Designed for Efficiency
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Model-Based Systems Engineering (MBSE) is a methodology that uses models to represent and analyze complex systems. MBSE with SysML aid in the development of systems from concept to operation. It does this by using models to capture the system’s requirements, design, behavior, cost, risk, and other aspects. MBSE and SysML provides numerous advantages over traditional […]
Read More >AI Certifications: Advancing Careers
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The rapid rise of AI technology has ignited a swell of interest in various areas of artificial intelligence and machine learning. Experts in this field believe AI certification has become a crucial avenue for professionals seeking career development in the frequently shifting sector of artificial intelligence. As industries increasingly integrate AI technologies, certified individuals gain a competitive […]
Read More >Space Cybersecurity: Time to Invest in Threat Intelligence?
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Space cybersecurity advocates would like to see more security standards such as the National Institute of Standards and Technology (NIST) Cybersecurity Framework. Another security measure that space cybersecurity experts believe deserves more attention is the utilization of appropriate security tools that are available. Most professionals in this field believe that space asset organizations should encrypt […]
Read More >Robotic Engineering: Figuring Prominently in How We Live
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Robotics engineering is a growing field that entails a combination of data analysis, engineering, and computer science. People working in these fields use software and mechanical hardware to design, build, and test robots and their related machine-based processes. According to IEEE, a robot is an autonomous machine capable of sensing its environment, carrying out computations to […]
Read More >Generative AI Is not AI in General
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Generative AI uses a number of techniques that continue to evolve, but foremost are AI foundation models. Generative AI foundation models are trained on a broad set of unlabeled data that can be used for different tasks, with additional fine-tuning. Complex math and enormous computing power are required to create these trained models, but they […]
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