Temple Grandin: Look at what people can do, not what they can’t
In talks at MIT, noted behavioral expert suggests encouraging skills of people with autism.
Department
Media Arts and Sciences (Media Lab)
Teaching programming to preschoolers
System that lets children program a robot using stickers embodies new theories about programming languages.
Finger-mounted reading device for the blind
Audio feedback helps user scan finger along a line of text, which software converts to speech.
Consumer-friendly makers
Media Lab alumni’s success with “smart” gaming blocks led to an acquisition deal to make consumer drones.
Keeping health care clean
Startup’s smart devices track hand-washing in hospitals to help reduce the spread of infection.
Privacy challenges
Analysis: It’s surprisingly easy to identify individuals from credit-card metadata.
New horizons for self-assembling materials
3-D-printable materials deform to change surface area, enabling curvature rather than rigid folding.
How information moves between cultures
Networks that map strength of connections between languages predict global influence of their speakers.
“Moneyball for business”
Startup’s behavioral analytics on employees uncover ways to increase workplace productivity, satisfaction.
Outside-the-box thinker
Senior Nathan Spielberg uses 3-D printing to build everything from nanoscale chips to houses.
MIT launches Laboratory for Social Machines with major Twitter investment
Program aims to develop collaborative technologies to tackle complex social problems.
Media Lab to launch wellness initiative with $1 million Robert Wood Johnson Foundation grant
New program, Advancing Wellness, combines academics with on-the-ground initiatives to promote better health at MIT and beyond.
Manual control
Oblong Industries brings gesture-control technology from Hollywood to corporate conference rooms.
Our connection to content
Using neuroscience tools, Innerscope Research explores the connections between consumers and media.
Mental-health monitoring goes mobile
Startup Ginger.io analyzes smartphone data to remotely predict when patients with mental illnesses are symptomatic.