Will machines outsmart humans? - Low power electronics to boost Artificial Intelligence

Faglige nøgleord: ArtificiaI Intelligence, electronics, nanotechnology, material science

Oplæg tilgængeligt på: Engelsk og italiensk

Artificial inteligence (AI) has been developing at a really high pace in recent times, reshaping the way we deal with everyday tasks. The potential is huge, but there are clear limitiations as well, that might - in the long run - limit its growth. To properly functon, AI systems necessitate of a big computational power, which translates into huge energy consumption; this is clearly not sustainable and a a solution is strongly required. To find one, we have to go back to the building block of every computer, the transistor. The one currently used the most is quite power hungry and its dimensions cannot be reduced under a certain limit. Intel, on the other hand, has in recent times theorized a new model of transitor, which would be smaller and more energy efficient. Unfortunately it exists only on paper, as the material needed for its realization is missing.
My reaserch, which moves in the fields of materal science and nanotechnology, has the goal to find such material using a rather unconventional approach.

Fag og faglige nøgleord

Dette oplæg passer for eksempel godt til:

 

Fysik

Teknologi

 

Nøgleord:

  • ArtificiaI Intelligence
  • Electronics
  • Nanotechnology
  • Material science

Sprog og form på besøget

Klassebesøg eller foredrag?

Dette oplæg kan tilpasses enten til en klasse (op til ca. 28 elever), hvor den ph.d.-studerende har mulighed for at have dialog med eleverne.

 

Sprog?

Dette oplæg er tilgængeligt på engelsk og italiensk.

 

Digitalt eller fysisk besøg?

Den ph.d.-studerende kommer gerne ud på jeres skole til et fysisk besøg.

Øvrig information

 Dette oplæg er ikke tilgængeligt i oktober 2024.

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Kontakt

Taja Andersen Brenneche
Kommunikationsmedarbejder
AKM
45 25 10 57
https://bookphd.dtu.dk/find-foredrag/alle-foredrag-liste/will-machines-outsmart-humans-low-power-electronics-to-boost-artificial-intelligence
12 DECEMBER 2024