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Building Smart and Fast Systems using Machine Learning and Computer Vision.

8 febrero, 2023 @ 16:00 - 18:00

PONENTE Dra. Thaleia Dimitra Doudali
AFILIACIÓN Assistant Research Professor at IMDEA Software Institute.
RESUMEN Nowadays, computing platforms use a mix of different hardware technologies, to scale application performance, resource capacities and achieve cost effectiveness. However, this heterogeneity, along with the greater irregularity in the behavior of emerging workloads, render existing resource management approaches ineffective. In the first part of this talk, I will describe how we can use machine learning methods at the operating system-level, in order to make smarter resource management decisions and speed up application performance. In the second part of the talk, I will present how we can accelerate certain components of such systems using visualization and computer vision methods. Finally, I will conclude with my vision of coupling machine learning and computer vision at the system-level and present open questions that make this research area exciting to work on!
BIO She received her PhD from the Georgia Institute of Technology (Georgia Tech) in the United States. Thaleia’s research explores novel methodologies, such as machine learning and computer vision, to improve operating system-level resource managemen. In 2021, Thaleia received the Juan de la Cierva post-doctoral fellowship.

Detalles

Fecha:
8 febrero, 2023
Hora:
16:00 - 18:00
Categoría del Evento:

Local

Salón de grados del Departamental 2
Campus de Móstoles de la URJC
Móstoles, Madrid 28933 España
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