
Explore the connection between word learning and logical reasoning in young children, challenging prevailing views on language acquisition and cognitive development.

Explore graph-theoretic models for game theory and economics, covering Nash equilibria, social networks, and connections to probabilistic modeling and inference.

Explore the design of intelligent machines for human-machine teamwork, focusing on onboarding, error management, and ad hoc collaboration, with applications in supporting older adults aging in place.

Explore multiclass audio segmentation techniques for broadcast environments, focusing on cutting-edge approaches and practical applications.

Explore safe learning algorithms for robots in complex environments. Discover data-efficient, online methods guaranteeing safety and adaptability for real-world applications in robotics and AI.

Explore hierarchical sound modeling for audio source separation and generation. Learn about extracting components, controlling models, detecting data memorization, and building interpretable controls.

Explore techniques for music retrieval using Query by Humming, including string-alignment algorithms and hidden Markov models. Compare approaches and their effectiveness in finding songs from sung queries.

Discover how Platform.sh and Nestlé collaborate to reduce digital carbon footprint while enhancing innovation. Learn strategies for measuring, lowering, and mitigating emissions in application lifecycles.

Explore ICT's environmental impact and learn practical strategies for reducing emissions in Drupal development. Gain insights to create sustainable digital solutions.

Explore cognitive psychology fundamentals and their application to modern CSS for effective web design. Learn to balance conventions with inherent human limitations.

Explore control principles for robot learning, focusing on motion synthesis, learning objectives, and real-time control algorithms. Gain insights from biology and robotics examples.

Explore a five-decade journey in mechanical systems control, from state space theory to intelligent industrial robots and autonomous driving. Gain insights from Masayoshi Tomizuka's research at UC Berkeley.

Explore data efficiency in robotic manipulation, focusing on contact-driven aspects and implicit learning techniques for improved adaptability and real-time multi-contact MPC deployment.

Explore state space models for analyzing sequential data, covering foundations, algorithms, and applications using the dynamax library. Learn to uncover latent states in high-dimensional measurements.

Explore tactile perception in robotics, enhancing human-robot interaction and remote operations. Discover applications in semi-autonomous systems, haptic displays, and social connections.

Explore COVID-19 data curation and forecasting techniques for county-level death counts in the US, including ensemble methods and prediction intervals for informed decision-making.

Explore game theory and machine learning applications for societal challenges. Learn from Fei Fang's expertise in AI, multi-agent systems, and their impact on security, sustainability, and mobility.

Explore strategies for achieving cooperative outcomes in diverse environments. Learn from Nisarg Shah's expertise in fairness, efficiency, and algorithmic decision-making affecting humans.

Explore the intersection of distributed computing and game theory, examining their synergies and applications in multi-agent systems and decision-making processes.

Explore challenges and opportunities of data-driven learning in physical robots for neurorehabilitation. Discover applications in balance assistance, fall detection, and intelligent robotic devices for rehabilitation.

Explore robot learning through interaction, covering supervised, imitation, reinforcement, and interactive learning methods. Gain insights into motor skill acquisition and human-robot collaboration.