Archivo: MIT Technology Review

The official map of the human genome can’t tell you everything about your genes. Does graph theory offer a better way?

For years, the most important food technologies were all about scale. How could we feed a fast-growing population at less expense? By doing everything bigger: food grown on bigger farms was sold by ever-merging global food giants to grocery chains of superstore proportions.

Many of today’s food technologies seem to be moving in the opposite direction, toward methods and products that are economical for small farms as well as large corporate ones.

Computer scientists have long known that evolution is an algorithmic process that has little to do with the nature of the beasts it creates. Instead, evolution is set of simple steps that, when repeated many times, can solve problems of immense complexity; the problem of creating the human brain, for example, or of building an eye.

And, of course, the problem of creating life. Put an evolutionary algorithm to work in a virtual environment and it doesn’t take long to create life-like organisms in silico that live and reproduce entirely within a virtual computer-based environment.

Of all the rumors ever to swirl around the world’s most valuable company, this may be the first that could involve spitting in a plastic cup.

Neural probes that combine optics, electronics, and drugs could help unlock the secrets of the brain.

Deep brain stimulation could lead to a more effective, self-tuning device for Parkinson’s.

Over the past year, Oxford University philosophy professor Nick Bostrom has gained visibility for warning about the potential risks posed by more advanced forms of artificial intelligence. He now says that his warnings are earning the attention of companies pushing the boundaries of artificial intelligence research.

Programming languages shape the way their users think—which helps explain how tech startups work and why they are able to reinvent themselves.

Nir Eyal is showing software designers how to hook users in four easy steps. Welcome to the new era of habit-forming technology.

Large genome databases are starting to reveal critical health information—even about people who have not contributed their DNA.