A professor of astronautics foresees a new space age in which distributed space systems made of small satellites work in tandem to replace or augment their monolithic ancestors.
By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.
Photonics engineers are working toward a day when fast, energy-efficient computers do their mathematics using photons — packets of light — instead of electrons.
Stanford researchers are helping to develop swarms of cheap sat-bots that would work together to get more done than larger, costlier satellites working alone.
Emboldened by new data and insights about how people learn, the dream of computers teaching people is entering a new era that reaches far beyond reading, writing and arithmetic.
Engineers in Stanford’s Dynamic Design Lab are teaching a driverless DeLorean to steer with the agility and precision of a human driver with a goal of improving how autonomous cars handle in hazardous conditions.