massachusetts institute of technology today's spotlight about
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The iconic MIT home page Spotlight features a daily-changing image and design that focuses on advances in research, technology and education taking place at the Institute. Though some Spotlights do run multiple days - for example Friday's spot usually runs through the weekend, we work very hard to maintain the daily-changing tradition. We've combed our servers and have compiled a digital archive of the Institute home page through the years - well over 2000 images. Enjoy!
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Campus crossroads Today’s spotlight features a still from the Muddy Charles video by Melanie Gonick.

Since 1968, the Muddy Charles Pub (opens in new window) has been a spot for the MIT community to relax, socialize, and share ideas. It’s also become a networking hub for researchers, entrepreneurs, and alumni (opens in new window) in the public sector and in industry.

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The MIT home page Spotlight showcases the research, technology and education advances taking place at the Institute every day.

What makes it as a Spotlight image is an editorial decision by the MIT News Office based on factors that include timeliness, promotion of MIT's mission, the balance of interest to both internal and external audiences, and appropriateness.

We do welcome ideas and submissions for spotlights from community members, but please note we are not able to accommodate all requests. We are unable to run event previews or promotions as spotlights; for those looking to promote an event, we are happy to include your listing as an event headline on the homepage (when space is available). For more information, e-mail the spotlight team.

Request a Spotlight or Event Headline, here.
Silicon synapse

Silicon synapse

Today's Spotlight features an illustration by Chelsea Turner, MIT.

Researchers in the emerging field of "neuromorphic computing" have attempted to design computer chips that work like the human brain. Instead of carrying out computations based on binary, on/off signaling, like digital chips do today, the elements of a "brain on a chip" would work in an analog fashion, exchanging a gradient of signals, or "weights," much like neurons that activate in various ways depending on the type and number of ions that flow across a synapse.

Read the full story on MIT News.