Computer Science - Software/Programming
MIT research uses information about how frequently objects are seen together to refine the conclusions of object recognition systems.
by Larry Hardesty
Today, computers can’t reliably identify the objects in digital images. But if they could, they could comb through hours of video for the two or three minutes that a viewer might be interested in, or perform web searches where the search term was an image, not a sequence of words. And of course, object recognition is a prerequisite for the kind of home assistance robot that could execute an order like “Bring me the stapler.” Now, MIT researchers have found a way to improve object recognition systems by using information about context. If the MIT system thinks it’s identified a chair, for instance, it becomes more confident that the rectangular thing nearby is a table.
by Larry Hardesty
Mizzou scientists develop software that detects humans and objects in videos, creating new possibilities for safety and surveillance
The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe.
by Abby Vogel
Dryad lets you intuitively create beautiful trees for your virtual world or game. In Dryad, you create a tree by visually navigating to it through a design space: the space of all trees. This space has close to a hundred dimensions and Dryad lets you move around it as if it were a city map. To help you find your way, Dryads around the world communicate to share which trees were picked in the past. A collaborative mapping of the tree space emerges, which your Dryad uses to gently steer you towards high-quality finds. We call this collaborative design space exploration.