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A startup called Quid has developed algorithms that analyze Internet-based data from corporations to make fast-moving technology developments visible, navigable, and understandable. Quid has built a data set combining information about firms that succeeded and sank, patent documents, government grants, help wanted advertisements, and tweets. Its algorithms use the collection of information to analyze the prospects of around 35,000 firms and research groups working on new technologies. By extracting words and phrases from the collected documents, Quid constructs a "technology genome" that describes the primary focus of each of those 35,000 entities. A map of the connections between those genomes can be used by investors to find hints about interesting companies or ideas. Most companies cluster around established sectors, but a few will sit in the white spaces between the clusters and can represent the seeds of new technology sectors.

Imagine an airline service, transporting each passenger in an individual plane, so that the commuters do not face any delays after arriving at the airport.

A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia - as well as possibly paving the way for reading people's minds. Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. This differs from previous experiments, in which the subjects were required to perform mental activities at specific times and the scans were then compared with brain activity when they were at rest. Greicius reasons his method encourages "natural" brain activity more like that which occurs in normal thought.