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Explore integrated strategies for planning, perception, and action in complex mobile manipulation domains using belief space planning and hierarchical goal regression.
Explore the evolution of computer vision and AI with Ali Farhadi, covering deep neural networks, object detection, visual reasoning, and future predictions in this insightful seminar.
Probabilistic models for learning semantic parser lexicons from question/answer pairs, improving accuracy and efficiency without extensive human input or dataset-specific engineering.
Explores decision-theoretic planning for optimizing crowdsourced workflows, covering POMDPs, dynamic workflow switching, taxonomy construction, and data annotation optimization for machine learning applications.
Exploring analytical gradients in physics simulation for computational design of dynamic systems, with applications in robotics, biomechanics, and computer graphics.
Explore dynamic robot manipulation through integrated planning, deep learning, and cloud computing for high-speed, reliable motions in unstructured environments.
Explore innovative approaches to robot perception and planning for manipulating diverse objects, enhancing capabilities in cloth handling, articulated objects, and transparent materials.
Explore algorithms for robots learning from imperfect human teachers, addressing inattention and inaccurate information to enhance interactive Reinforcement Learning and improve human-robot teaching interactions.
Explore cutting-edge algorithms for robust geometric perception in robotics, enhancing safety and reliability in autonomous systems across various applications.
Explore precise robotic generalization for pick-and-place tasks using simulation-learned models. Discover how visuo-tactile sensing enables accurate object manipulation and placement with sub-millimeter precision for novel items.
Explore joint optimization of physical design and computational reasoning for intelligent agents, enhancing sensor networks, legged robots, and soft robotics through machine learning techniques.
Exploring robotics autonomy to enhance human independence for those with motor impairments. Discusses challenges, research, and innovative approaches in assistive technology and rehabilitation robotics.
Explore interactive task learning for robots, focusing on designing collaborative human-AI systems. Discover advances in enabling robots to learn new tasks through natural interactions with humans.
Explores onion routing for anonymous online communication, presenting a novel protocol that achieves fault-tolerance, efficiency, and anonymity against active adversaries observing network traffic.
Explores communication complexity lower bounds in information-theoretic secure multiparty computation, covering perfect passive and malicious security settings with various party thresholds and reactive functionalities.
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