Building the Next Generation of Electronics

Jeehwan Kim, associate professor of mechanical engineering at MIT, is using his background in materials science to build a physical neural network and produce cheap semiconductor wafers - technologies that could help bring the artificial intelligence power of super computers to handheld devices. This research is supported by AmorePacific.

[@iuripires7285]

MIT always showing how important it researchers are..

[@henrymitchel]

Fantastic! Well done, Dr. Kim.

[@fjs1111]

Thank you for sharing this Prof. Kim, super cool

[@MadComputerScientist]

Oh heck yes, hardware based neutral nets! It's beginning!

[@dogan1405]

You are not an engineer but you are an applied scientist Mr. Kim. The products based on the new technology that you create will be used by engineers. I congratulate you for your exciting researches and successful work.

[@cacssarcaeustan2543]

Engineers can also do research. Engineering and applied science overlap so much you can't really say there is a defined line between the two. For example technology design can done by applied scientists as in the transistor, and theoretical models like the ones used in computer hardware design based on logic being developed by engineers.

[@mercurial20]

Great video, but smth wrong with audio.

[@rockman3073]

존멋

[@cesarvargas1112]

it's fantastic, very impressive...

[@muzdokgober9371]

They build new things

[@emmatekh1046]

Nice

[@Smokie_bear9896]

First comment. Applied RD as MechE. Accept me please for my demonstrated interest

[@likedongwon0420]

he is my uncle

[@darkashes9953]

When can we expect to see them in robots

[@Sora_Nai]

When ever they come out

[@bheeshmayo8354]

Nice hair ambati rayudu✌

[@kawsarhassan438]

Oky

[@rubinroosevelt5119]

Nvidia has done it in their RTX version

[@Kevin-jb2pv]

They grow graphene memristors using rtx?