Event Listing

For safety, AI systems in health undergo thorough evaluations before deployment, validating their predictions against a ground truth that is assumed certain. However, this is actually not the case and the ground truth may be uncertain. Unfortunately, this is largely ignored… Read more

The physical properties of laser light make it a perfect medium for a plethora of applications. Examples include high-bandwidth data communication thanks to its fast modulation speed, efficient power delivery given its high energy density, and fine-grained human sensing and… Read more

Communicating with the brain enables us to advance our understanding of brain function, treat disorders, restore lost function, and when combined with artificial cognitive frameworks, can push the frontier of human capabilities. Key to realizing brain communication and… Read more

Emerging platforms such as Augmented Reality (AR), Virtual Reality (VR), and autonomous machines, while are of a computing nature, intimately interact with both the environment and humans. They must be built, from the ground up, with principled considerations of three main… Read more

Network intelligence deals with situations where a group of intelligent agents such as autonomous vehicles (AVs) need to coordinate, cooperatively plan, and execute a task. This concept could be broken down into two main interdependent categories… Read more

Emerging applications that interact heavily with the physical world (e.g., robotics, medical devices, the internet of things, augmented and virtual reality, and machine learning on edge devices) present critical challenges for modern computer architecture, including hard real… Read more

Autonomous driving has shown great potential to reform modern transportation. Yet its reliability and safety have drawn a lot of attention and concerns. Compared with traditional software systems, autonomous driving systems (ADSs) often use deep neural net… Read more

Autonomous vehicles rely on 3D perception to understand their surrounding environment. Although there has been remarkable progress in enhancing the accuracy of perception models, their efficiency still lags… Read more

Multi-robot systems have many appealing applications such as shape formation, search and rescue, surveillance and reconnaissance, cooperative target tracking, and collective transport. However, even the presence of a few faulty or malicious robots can easily disrupt… Read more

Inspired by the potential of artificial intelligence (AI) to improve access to expert-level medical image interpretation, several organizations began developing deep learning-based AI systems for detecting diabetic retinopathy (DR) from retinal fundus images around 2015.… Read more