Work
Exploring the neural underpinnings of mind wandering
Mind wandering occurs when a person's attention shifts from things that are happening in her present environment to internal thought processes. For instance, while cooking or attending a lesson, one...
DIGIT: A high-resolution tactile sensor to enhance robot in-hand manipulation skills
To assist humans in completing manual chores or tasks, robots must efficiently grasp and manipulate objects in their surroundings. While in recent years robotics researchers have developed a growing...
A three-dimensional phase diagram of heavy-fermion compound with competing quantum phases
URu2Si2 is a metal that belongs to the family of heavy-fermion compounds in which several quantum phases (e.g., magnetism and superconductivity) can compete or coexist. These metals exhibit small...
Dye-sensitized solar cells that adapt to different light conditions
Solar cells made of semi-transparent photovoltaic (PV) materials typically have a fixed optical transmission, which results in either high transparency or high efficiency, but rarely both. In order...
Investigating the interplay between axions and dark photons in the early universe
Axions and dark photons are two of the most promising types of particles for unveiling new physics. The axion scalar field explains the absence of an electric dipole moment for the neutron, while...
An AI painter that creates portraits based on the traits of human subjects
Over the past decade or so, researchers have been developing increasingly advanced artificial intelligence (AI) systems for a wide range of applications. This includes computational techniques that...
A hyperdimensional computing system that performs all core computations in-memory
Hyperdimensional computing (HDC) is an emerging computing approach inspired by patterns of neural activity in the human brain. This unique type of computing can allow artificial intelligence systems...
A scheme to enhance how swarm robots search for multiple targets
Over the past decade or so, researchers have been trying to develop techniques that could enable effective collaborative strategies among teams of robots. One of the tasks that teams of robots could...
FoolChecker: A platform to check how robust an image is against adversarial attacks
Deep neural networks (DNNs) have so far proved to be highly promising for a wide range of applications, including image and audio classification. Nonetheless, their performance heavily relies on the...
A deep reinforcement learning framework to identify key players in complex networks
Network science is an academic field that aims to unveil the structure and dynamics behind networks, such as telecommunication, computer, biological and social networks. One of the fundamental...