Only supercomputers have the oomph to tackle the grandest challenges facing science, but the difficulty of programming these machines impedes discovery.
A swarm of 105 tiny satellites the size of computer chips, costing under $100 each, recently launched into Earth’s orbit. Stanford scientist Zac Manchester, who dreamed up the ChipSats, said they pave the way for cheaper and easier space exploration.
In the course CS 181: Computers, Ethics and Public Policy, Stanford students become computer programmers, policymakers and philosophers to examine the ethical and social impacts of technological innovation.
Three high schoolers and a Stanford lab found that, when file size is restricted, humans are better at representing images than traditional algorithms.
Scientists are training machine learning algorithms to help shed light on earthquake hazards, volcanic eruptions, groundwater flow and longstanding mysteries about what goes on beneath the Earth’s surface.
Stanford bioinformatics researchers are working on a smartphone app that could help diagnose autism in minutes – and provide ongoing therapy as well, all with fewer visits to specialized clinics.
Computers have shrunk to the size of laptops and smartphones, but engineers want to cram most of the features of a computer into a single chip that they could install just about anywhere. A Stanford-led engineering team has developed the prototype for such a computer-on-a-chip.
