
Explore robotics, cybersecurity, and enterprise IT investment trends with insights from a venture capital expert, covering emerging technologies and industry challenges.

Interactive imitation learning for robots: tackling feedback-driven covariate shift and predicting human intent using graph neural networks, with applications in self-driving vehicles.

Explore the history and impact of the 4004 microprocessor with insights from industry pioneers, covering its development, architecture, and influence on modern computing.

Explore the emerging field of touch processing in AI and robotics, its challenges, and potential applications. Learn about recent advances in tactile sensing hardware and their implications.

Explores innovative approaches to predicting agent behavior in autonomous systems, combining game theory and behavioral models for improved motion planning and interaction in multi-vehicle scenarios.

Explores techniques for incorporating human input into AI systems, focusing on maintaining uncertainty over human intent, generating risk-averse behaviors, and efficiently querying for additional input to improve performance.

Explore sample-efficient warning systems for robotics, detecting unsafe situations and distribution shifts with statistical guarantees. Learn about real-time frameworks and faster detection methods.

Explores Control Barrier Function methods for collision avoidance in multi-agent systems, comparing stability and effectiveness of different algorithms through simulations and vehicle experiments.

Exploring the future of human-robot collaboration, focusing on safe, intuitive, and affordable robots designed to improve quality of life in various sectors, from eldercare to service industries.

Exploring advancements in human-robot interaction, focusing on learning from human decision-makers, explainable AI, and coordinated control of human-robot teams for real-world applications.

Explore advancements in tactile perception for robots, including sensor technologies, haptic perception, and applications in human-robot interaction and manipulation of deformable objects.

Explore tactile sensing in robotics for dexterous manipulation and suction cup grasping. Learn about multimodal sensors measuring contact forces, slips, and suction seal formations to enable adaptive robotic control in changing environments.

Exploring generalization in embodied AI, focusing on interactive learning, representational biases, and causal inference for robotics and decision-making in complex environments.

Exploring multi-sensory neural object representations for robotics, focusing on object-centric modeling, dataset creation, parameter inference, and manipulation applications.

Explore autonomous robotic manipulation principles, challenges, and innovative approaches with Prof. Bohg. Learn decision-making under uncertainty, multimodal information use, and action representation in robotics.

Discover 10 key attributes for successful business transformation, blending digital and traditional approaches to thrive in today's evolving landscape.

Re-imagining drones through open innovation: explore disruptive technologies, community-driven development, and the evolving aerospace industry with insights from 3DR's Chris Anderson.

Innovative deep learning processor architecture for improved efficiency and performance, featuring strategies to reduce data movement and enhance scalability for next-generation models.

Explore perovskite semiconductors' potential to revolutionize solar energy, including efficiency improvements, challenges, and market prospects. Learn from Prof. McGehee about this promising technology's future in renewable energy.

Explore interactive autonomy for safe human-robot collaboration, focusing on algorithms that influence human behavior and efficient active learning methods to model human preferences.

Explore cutting-edge battery technology for sustainable transportation and energy storage with Stanford's Prof. Yi Cui. Discover innovations, challenges, and future prospects in this field.