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Field
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems. Technology for
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environments for Machine Situational Awareness, particularly within contested, congested and degraded scenarios. Fully autonomous robust intelligence data processing to significantly reduce the reliance upon
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and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable
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that collectively represent an object or a scene. This data structure plays a crucial role in distributed autonomous systems, enabling applications such as augmented reality, autonomous vehicles, and environmental
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The cardiac action potential is modulated by the autonomic nervous system (ANS). Recent studies have shown an association between cardiac disease and Parkinson’s disease (PD) where the degeneration
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relationship are discussed. On the one hand, AI is viewed as a tool that enhances individual cognitive abilities in decision-making tasks, while on the other hand, it is seen as an autonomous agent that can take