Samhliða og stigfrjálst véla- og djúpnám með háhraða ofurtölvum

Verkfræðistofnun Háskólans býður til málstofu

Málstofan fer fram á ensku og haldin á Zoom

Passcode: 505215

Fyrirlesari: Morris Riedel, prófessor við Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild.

Heiti fyrirlestrar: Samhliða og stigfrjálst véla- og djúpnám með háhraða ofurtölvum (Enska: Parallel & Scalable Machine & Deep Learning driven by High-Performance Computing)

Ágrip (Enska): Many of the significant challenges that society faces, whether it is preserving our environment, improving our healthcare, or rebuilding our economy, are underpinned in some way or another by High-Performance Computing (HPC). This lecture will briefly review how innovative Artificial Intelligence (AI) techniques such as deep learning or quantum machine learning leverage HPC to create economic and societal benefits. As HPC has become an indispensable asset in the global data economy crucial to address societal challenges and increase industry competitiveness, Icelandic Research & Development activities are presented that shape Europe’s digital future via EuroHPC and other related activities.