Sweta Banerjee @SwetaBioX@qoto.org

I released a blog post on simplifying theory behind neural networks, this chapter is specifically on CNNs
https://merveenoyan.medium.com/complete-guide-on-deep-learning-architectures-chapter-1-on-convnets-1d3e8086978d

I’m excited to announce that, starting in January, I will be the Senior Editor for the Developmental section at Collabra:Psychology!

I’m forward to working with the whole editorial leadership team. More to come next year.

#Introduction

I'm a PhD candidate at Radboud University Medical Center in the Netherlands. I work with chest CT scans and build deep learning algorithms for early lung cancer detection.

I also volunteer as an editor for @thegradient!

Glad to be here on Mastodon.

Hi all, here is a curated lists of academic accounts on Mastodon by discipline. Kindly spread the word.

https://github.com/nathanlesage/academics-on-mastodon

#phdlife #academicchatter #academia #education #research

@phdstudents

#Introduction:
I'm Robin and still figuring this thing out 👋
Currently finishing my PhD in #ComputationalNeuroscience @ FZ-Juelich, Germany
Trying to understand #brain mechanisms like #cortical #wave dynamics, e.g. via statistical network comparisons
Science needs collaboration and collaboration needs #open-source tools
Spending too much time fine-tuning data visualizations
#dataviz
Passionate about approaching scientific questions via #brainart
Sometimes entertaining a blog at rgutzen.github.io

Biology-inspired terms and analogies are very common in #MachineLearning ("A.I."), but they are far more misleading than helpful, rather wrong than right. So, better don't use them at all!

--> New blog post:
https://medium.com/@f.huber/stop-using-biological-analogies-to-describe-ai-its-99-999-wrong-81e71eb6ef30

#ArtificialIntelligence #DataScience

Still new to Mastodon.
Switched Servers once (fosstodon.org seemed nice at first, but I post in English and German, occasionally in Dutch as well). If you have any hints on which servers work fast, which work slow, etc.... let me know.

I work in #datascience #opensource #openscience #cheminformatics #latentspace #nlp #Python mostly. Currently with a lot of teaching as well.

So, trying to figure out where all the epidemiologists are. I see them here and there on this site, but there is nothing like #epitwitter yet. If you see an epidemiologist wandering around Mastodon, send them my way!

Let’s try this again. Where you at #fediverse? Boosts welcome so we can get the best sample size.

#introduction

I am computer science professor in machine learning for imaging at Imperial College London. Primarily working on medical imaging applications and interested in anything related to ML robustness, fairness, causality.

Since all the cool kids are doing it, here’s my #introduction

I’m an Assistant Professor of Public Administration at VU Amsterdam. My research focuses broadly on public and nonprofit management with a focus on science and technology. I’m also a big ol’ design nerd and currently exploring how UX design principles shape digital citizen-state interactions.

More about me here: www.kaylaschwoerer.com

Find published and working papers here: https://www.researchgate.net/profile/Kayla-Schwoerer

Hey #neuroscience #neurotech #neurodon

I'm very excited about a truly distributed community for #neuroscience.

Let's make it easier for new folks (and #twitterexodus #twittermigration) folks to plug into the #neurodon community!

Please add your Mastodon information to this importable community list: https://forms.gle/sWZyxMGsNefy3kzr5

How to migrate from one Mastodon server to another without losing followers:

1. Sign up on new server
2. On NEW server: Go to Account -> Moving FROM another account
3. Enter old account's handle
4. On OLD server: Go to Account -> Moving TO another account
5. Enter new account's handle and submit

#YoMigroaMastodon

#introductions

Hi, I'm Kate, currently a postdoc in Roland Fleming's lab in Giessen. Starting my own lab at the University of Auckland at the end of this year!*

I'm interested in perception, and especially how brains come to understand the world through their tangles of sensory streams, none of which provide "ground truth". Mostly taking unsupervised deep learning approaches to vision.

*Mastodon exclusive, haven't got around to announcing on Twitter yet 😅

#introduction

I'm Martin (he/him), a junior research group leader at TU Darmstadt & hessian.AI .

My Open World Lifelong Learning group focuses on research to make AI+ML systems learn continually in a world that keeps changing: https://owll-lab.com .
We adopt a broad view: from data to models, from learning to evaluation.

I'm also a board member at the non-profit ContinualAI https://www.continualai.org , love interdisciplinary research & care deeply about DEI in AI, as a member of QueerInAI 🏳️‍🌈

Belated #introduction: I am interested in open-endedness and reinforcement learning research. I'm an Associate Professor at the UCL Centre for AI where I am a PI for the UCL DARK (https://dark.cs.ucl.ac.uk/) lab with @egrefen (some of our students are here as well @LauraRuis @minqijiang @mika) and collaborate closely with @jnf. At DeepMind, I am leading the Open Endedness Team (follow @jparkerholder).