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Doctoral Researcher (PhD Student, Engineering/Computer Science) | Horizon 2021 Program | Marie-Sklodowska-Curie Doctoral Network | University of Eastern Finland
Webloghttps://hue-salari.ir
GitHubhttps://github.com/mh-salari
Linkedinhttps://www.linkedin.com/in/hue-salari

A very informative presentation about eye tracking by Craig Hennessey. I really enjoyed the practical details Craig provided.

'Introduction to Eye-Tracking and Biometric Experiments: Equipment Setup, Recording, and Analysis.'"
https://youtu.be/a8uEQ6aCqo4

#EyeTracking

Introduction to Eye-Tracking and Biometric Experiments: Equipment Setup, Recording, and Analysis

YouTube

Came across this presentation by Dr. Krzysztof Krejtz on eye-tracking👀! Great insights for those interested in mobile eye tracking!

https://youtu.be/dxmwj_XuV_k
#EyeTracking #MobileEyeTracking

Mobile eye tracking - method and practice

YouTube
A short history of the O’Reilly animals (2013)
I didn't know how they got started. I bet you didn't either.
https://www.oreilly.com/content/a-short-history-of-the-oreilly-animals/
A short history of the O'Reilly animals

How lions, tigers, and tarsiers went geek.

O’Reilly Media

I'm more worried about the job market after the Ph.D. than doing the Ph.D. itself*. I checked the computer vision jobs in Finland, and it seems that there aren't that many opportunities, and I don't want to move to another country after my Ph.D.

*With enough time and energy, you can become an expert in any field, so I'm sure I can do my project.

What would be an appropriate amount of time to wait before starting to send memes to my supervisor? Asking for a friend .
@hue
https://www.perplexity.ai/ gives you links to papers, often on arΧiv.
Perplexity AI

Perplexity AI unlocks the power of knowledge with information discovery and sharing.

Only four (4) days left to apply to DL@MBL 2023. Don’t miss the deadline!!! 🤖 🔬 ☀️

We will be happy to teach you for two weeks in sunny Woods Hole!

https://www.mbl.edu/education/advanced-research-training-courses/course-offerings/dlmbl-deep-learning-microscopy-image-analysis

DL@MBL: Deep Learning for Microscopy Image Analysis | Marine Biological Laboratory

The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks that facilitate independent application of the learned material after the course.

Marine Biological Laboratory
Is there any LLM tool out there that can help to find papers?

What is state of the art in 2D image segmentation? Esp for Satellite images?

Asking for a friend.

*Accepted.