Work
A robot vision system that diminishes occlusions using mirror reflections
To navigate their surroundings safely and most effectively, robots should be supported by a highly performing computer vision system. One of the greatest challenges when developing computer vision...
Study identifies reactive neuroinflammatory astrocyte subtypes in the mouse brain
Astrocytes are a specialized class of glial cells highly abundant in the central nervous system (CNS) of humans and other animal species. Past neuroscience research has shown that after infections,...
AugLimb: A compact robotic limb to support humans during everyday activities
Researchers at Japan Advanced Institute of Science and Technology and University of Tokyo recently developed AugLimb, a compact robotic limb that could support humans as they complete a variety of...
Identifying a neural circuit involved in how pain modulates dopamine neurons
The neurotransmitter dopamine (DA) has several important functions. For instance, it known to play a role in how we feel pleasure, as well as in our ability to concentrate on everyday task, maintain...
A machine learning technique that can learn local equilibria in symmetric auction games
Over the past few decades, computer scientists have been exploring the potential of applying game theory and artificial intelligence (AI) tools to chess, the abstract strategy board game go, or...
A multi-task learning network to recognize the numbers on jerseys of sports team players
When reporting on sports games live or remotely, commentators should be able to quickly recognize the numbers on the players' jersey shirts, as this allows them to keep up with what's happening and...
A framework to evaluate techniques for simulating physical systems
The simulation of physical systems using computing tools can have numerous valuable applications, both in research and real-world settings. Most existing tools for simulating physical systems are...
Researchers use the S-matrix bootstrap to examine whether string theory is the only consistent theory of quantum gravity
The S-matrix bootstrap is a numerical method that can be used to determine or constrain the scattering amplitudes of particles in quantum field theory using simple principles. Over the past few...
LOKI: An intention dataset to train models for pedestrian and vehicle trajectory prediction
Human decision-making processes are inherently hierarchical. This means that they involve several levels of reasoning and different planning strategies that operate simultaneously to achieve both...
A strategy to fabricate metal-organic framework membranes for the separation of hydrocarbons
The separation of light hydrocarbon mixtures is among the most important petrochemical and industrial processes. This process is currently regarded as highly energy intensive, as it has so far been...