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Exploring the neural basis of cognition and intelligence through the Assembly Calculus, a computational system bridging the gap between brain activity and higher-level cognitive functions.
Introduction to compiler design, covering traditional compilers, front-end analysis, interpreters, data structures, optimization, and compiler mechanics. Explores theory and history of compilers.
Explore innovative tools for equitable transportation planning using TDEI Infrastructure. Learn how technology can enhance accessibility and promote inclusive urban mobility solutions.
Perception and decision-making systems for human-robot teaming in safety-critical environments, focusing on group detection, social navigation, and healthcare applications to improve patient outcomes and reduce clinician workload.
Explore the future of human-machine teamwork, focusing on assistive AI design, error management in collaboration, and support for aging populations through interactive intelligent systems.
Explore the future of human-machine teamwork, focusing on designing assistive AI and robots for collaboration, error management, and supporting older adults aging in place.
Explore how Amazon leverages automated reasoning and mechanized proof search in mathematical logic for software development, with insights on challenges and future scalability.
Explore AI systems that learn to represent knowledge, plan, and adapt through reinforcement learning. Discover a framework for efficient reasoning using affordances and temporally abstract partial models.
Exploring accessibility challenges in data science notebooks, intersections of race and disability in tech, videoconferencing for mixed hearing groups, and AR-based room safety scanning.
Explores non-negative Gauss-Newton methods for empirical risk minimization, discussing adaptivity, convergence analysis, and applications in machine learning optimization.
Explore the IEEE 802.11az protocol for accurate indoor positioning, its improvements over 11mc, and its potential impact on Android devices and Wi-Fi access points.
Exploring fusion of feedback control and reinforcement learning for efficient, reliable robot learning. Discusses reward shaping, co-design of controllers and algorithms, and future directions in robotics.
Explore error bounds for conic feasibility problems, focusing on the exponential cone. Learn about facial reduction and a new framework for deriving error bounds in optimization and data analysis.
Explore statistical applications of Wasserstein gradient flows in optimal transport, covering Otto calculus, Riemannian structures, and applications to variational inference and Gaussian mixture models.
Explore the evolution of shading languages and GPUs, from movie rendering to data-parallel computing, with insights on their impact on graphics, games, and high-performance applications.
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