Computer Sciences

Computational imaging benefits from untrained neural network

Computational imaging (CI) techniques exploit optical device and calculation algorithms to reconstruct object information. A key goal of CI is to develop more advanced algorithms in order to simplify hardware equipment and ...

Robotics

Deep reinforcement learning: Teaching robots like children

When children play with toys, they learn about the world around them—and today's robots aren't all that different. At UC Berkeley's Robot Learning Lab, groups of robots are working to master the same kinds of tasks that ...

Machine learning & AI

Artificial intelligence accelerates blood flow MRI

Imaging technology helps to detect cardiovascular diseases much earlier; however, precise examinations are still very time-consuming. Researchers from ETH and the University of Zurich have now presented a method that could ...

Energy & Green Tech

Deep learning cuts costs in building control

American buildings consume roughly 40 percent of U.S. energy, much of which is expended on heating, cooling, and ventilation. Enhanced control methods can help reduce energy consumption. Model Predictive Control (MPC) has ...

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