Suzana Ilić @suzatweet Twitter profile

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Suzana Ilić

@suzatweet

5 years

This is really neat! You take a screenshot of an equation, it gives you the LaTeX code, you can directly modify in the taskbar, copy, paste, done.

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Suzana Ilić

@suzatweet

2 years

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

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Suzana Ilić

@suzatweet

5 years

Wow. 1,962 pages of "Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning".

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Suzana Ilić

@suzatweet

4 years

AI Curriculum ⚪MIT 6.S191: Introduction to Deep Learning ⚪CS231n: CNNs for Visual Recognition, Stanford | Spring 2019 ⚪CS224n: NLP with Deep Learning, Stanford | Winter 2019 ⚪CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019

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Suzana Ilić

@suzatweet

3 years

Life goal: Work hard, retire early, buy a small house in the south of France, drink wine, study math.

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Suzana Ilić

@suzatweet

5 years

May 14. I'm officially a PhD student in Computer Science from today, working on Deep Learning for Dialogue Systems. I'm not crying.

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Suzana Ilić

@suzatweet

5 years

AI curriculum 🤖 CS231n: CNNs for Visual Recognition, Stanford | Spring 2019 CS224n: NLP with Deep Learning, Stanford | Winter 2019 CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019

CS285 Fall 2019

www.youtube.com

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Suzana Ilić

@suzatweet

4 years

Interactive Tools for ML, DL and Math - CNN Explainer - Play with GANs in the Browser - ConvNet Playground - Distill: Exploring Neural Networks with Activation Atlases - A visual introduction to Machine Learning - Interactive Deep Learning Playground ...

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Suzana Ilić

@suzatweet

10 months

Stanford just released all Stanford XCS224U: Natural Language Understanding course lectures by Prof. Christopher Potts! Videos Code

GitHub - cgpotts/cs224u: Code for Stanford CS224u

Code for Stanford CS224u. Contribute to cgpotts/cs224u development by creating an account on GitHub.

github.com

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Suzana Ilić

@suzatweet

3 years

Really cool machine learning blog covering topics in machine learning, deep learning and math! @MLFromScratch

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Suzana Ilić

@suzatweet

3 years

Super excited to share that I joined @huggingface 🤗 working on open source and open science efforts and most importantly, supporting the AI community building the future! 😊🚀

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Suzana Ilić

@suzatweet

4 years

We completed Part I Mathematical Foundations of the MML book! 🎉 On Sunday we'll do a remote recap session – let me know if you'd like to join! Linear Algebra Analytic Geometry Matrix Decompositions Vector Calculus Probability & Distribution Optimization

Mathematics for Machine Learning

mml-book.github.io

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Suzana Ilić

@suzatweet

4 years

Interactive tools are great. We have collected a bunch more incl. ⚫ CNN Explainer ⚫ GANs in the Browser ⚫ ConvNet Playground ⚫ Activation Atlases ⚫ Initializing neural networks ⚫ Embedding Projector ⚫ OpenAI Microscope ⚫ and more

GitHub - Machine-Learning-Tokyo/Interactive_Tools: Interactive Tools for Machine Learning, Deep...

Interactive Tools for Machine Learning, Deep Learning and Math - Machine-Learning-Tokyo/Interactive_Tools

github.com

Miles Cranmer

@MilesCranmer

4 years

If you’ve never tried it, is the single best explanatory tool for neural networks. An essential demo for any deep learning course! I still notice improvements in my intuition just by tinkering with it. From @dsmilkov @shancarter .

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Suzana Ilić

@suzatweet

6 years

Dimitris prepared a Colab notebook with implementation blocks in Keras for - AlexNet - VGG - GoogleNet/Inception - MobileNet - ShuffleNet - ResNet - DenseNet and a cheat sheet containing architecture details and summaries of the original papers.

GitHub - Machine-Learning-Tokyo/DL-workshop-series: Material used for Deep Learning related...

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT) - Machine-Learning-Tokyo/DL-workshop-series

github.com

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Suzana Ilić

@suzatweet

3 months

This looks phenomenal!

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Suzana Ilić

@suzatweet

5 years

5 years from now, Universities will still be relevant, but there will be an army of young people assembling their own individual education system composed of free, top-quality online resources offered by leading experts. A generation of high-tech niche experts

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Suzana Ilić

@suzatweet

3 years

If you're looking for an intro to applied ML, this is very well structured. Could be also something for @__MLT__ study sessions 😊 🤖 Applied Machine Learning (Cornell CS5785, Fall 2020) Lecture series: GitHub:

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Suzana Ilić

@suzatweet

4 years

. @Stanford continues to amaze me. CS106A Code in Place – free coding education. The course teaches the fundamentals of programming with Python. They specifically encourage humanists and social scientists to join. No background in programming needed. 🙌

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Suzana Ilić

@suzatweet

5 years

This is so cool. + open source. @netflix 👏 "Polynote: a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more." 🤯

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Suzana Ilić

@suzatweet

5 years

Super excited to be at DeepCon on June 8! We'll look at AlexNet VGG Inception MobileNet ShuffleNet ResNet DenseNet Xception U-Net SqueezeNet YOLO RefineNet The workshop will be recorded, you can find our code on GitHub (Part I: ConvNets.ipynb) @dkatsios

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Suzana Ilić

@suzatweet

5 years

I'm collecting interactive ML/DL/Math tools. :) Things like: - GANs in the browser - ConvNet Playground - Activation Atlas - Embedding Projector - Initializing Neural Networks and more. Please add to the list if you know more great resources. @__MLT__

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Suzana Ilić

@suzatweet

4 years

Updated list of open lectures from top Universities includes now: 👉 DS-GA 1008: Deep Learning (with PyTorch), NYU | Spring 2020 👉 CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2020 See all:

GitHub - Machine-Learning-Tokyo/AI_Curriculum: Open Deep Learning and Reinforcement Learning...

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley. - Machine-Learning-Tokyo/AI_Curriculum

github.com

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Suzana Ilić

@suzatweet

4 years

CS224n: Natural Language Processing with Deep Learning – Stanford | Winter 2020

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Suzana Ilić

@suzatweet

3 years

Pretty cool: @DeepMind released the '21 DeepMind x UCL Reinforcement Learning Lecture Series – comprehensive intro to modern RL. Anyone up for study sessions @__MLT__ ? 📚

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Suzana Ilić

@suzatweet

5 years

I received an offer for a Computer Science degree on Coursera for $19,200. I'd rather take 6 months off, move to some nice places, e.g. Barcelona, the South of France, Belgrade, .. (living expenses: $2,500/month + flights) take some online courses and start building things.

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Suzana Ilić

@suzatweet

5 years

This. is. awesome. They cover over 50 languages! pip install stanfordnlp ✔

Stanford NLP Group

@stanfordnlp

5 years

Our new-ish, neural, pure Python stanfordnlp package provides grammatical analyses of sentences in over 50 human languages! Version 0.2.0 brought sensibly small model sizes and an improved lemmatizer. Try it out: pip install stanfordnlp

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Suzana Ilić

@suzatweet

5 years

Received a message. “Finished Andrew Yang’s Deep Learning course. What should I do next?”

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Suzana Ilić

@suzatweet

3 years

Love these annotated paper implementations!

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Suzana Ilić

@suzatweet

3 years

10 NLP resources for the summer! Books, papers, blog posts, lectures, hands-on courses. From Linguistics to Transformers. 📚📝👩‍🏫

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Suzana Ilić

@suzatweet

4 years

I'm happy to announce that I joined @CausalyAI as a Computational Linguist working on natural language understanding for biomedical literature! 🎉 We're helping scientists and research teams get evidence from millions of publications in Biomedicine fast. 🙌

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Suzana Ilić

@suzatweet

3 years

Long weekend. I’ll finally have some time to read! (it’s massive @smasis !) Interpretable Machine Learning with Python

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Suzana Ilić

@suzatweet

5 years

Super neat Machine Learning cheatsheets for Stanford's CS 229. Available in English - Español - فارسی - Français - 한국어 - Português - Türkçe - 中文. 👏👏

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Suzana Ilić

@suzatweet

9 months

Already more than 10k GitHub Stars! AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. 🔥

GitHub - microsoft/autogen: A programming framework for agentic AI. Discord: https://aka.ms/autog...

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap - microsoft/autogen

github.com

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Suzana Ilić

@suzatweet

5 years

Woah! pyforest lazy-imports all popular Python Data Science libraries with a single line of code! pip install pyforest 👏

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Suzana Ilić

@suzatweet

4 years

Wow, more than 200 NLP datasets – this is gold. Made by @Quantum_Stat Seen: @pandeyparul

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Suzana Ilić

@suzatweet

8 months

Some personal news: I'm happy to share that I moved to New York! 🎉 Grateful that my O-1 Visa was approved and can't wait to see what this new chapter in my life will bring. I'm still working on AI content safety for LLMs / Azure OpenAI and I still love it. And related to that, I

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Suzana Ilić

@suzatweet

5 years

New Year's resolution: Write C++. every day. are there any fun projects to get started with?

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Suzana Ilić

@suzatweet

4 years

Springer has released 65 Machine Learning and Data books for free

Hundreds of books are now free to download

towardsdatascience.com

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Suzana Ilić

@suzatweet

6 years

Yesterday someone (ML, CS PhD, Stanford) said he would not hire a person who is online educated in Machine Learning. Who here agrees and who thinks differently?

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Suzana Ilić

@suzatweet

3 years

It's been 5 years since I started my machine learning journey, deeply grateful for the incredible opportunities to work on NLP/DL projects with brilliant leaders and wonderful teams. Can't wait to see what the next 5 years will bring! 💙

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Suzana Ilić

@suzatweet

4 years

We receive hundreds of messages on how to get started with Deep Learning. You need Theory, Math & Code, but there's a data overload of online resources, random and scattered. It's difficult and time-consuming to understand and curate which resources are the best for your purpose.

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Suzana Ilić

@suzatweet

5 years

Funny thing just happened on the train. Him: Excuse me, are you a ML Engineer? Me: 🧐 Him: Is that you? (Shows me my LinkedIn on his phone) Me: 🧐🧐 Him: I sent you a message, I’m <name>. Me: Have we met before? Him: No, you never replied. I’m a recruiter. WOooops. Weird. 😆

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Suzana Ilić

@suzatweet

5 years

Would anyone be interested in a weekly or bi-weekly もくもく勉強会 style machine learning math reading session?

Mathematics for Machine Learning

mml-book.github.io

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Suzana Ilić

@suzatweet

4 years

Impatience with actions, patience with results. @naval

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Suzana Ilić

@suzatweet

2 years

Vacation day 1 and I just got this! 😍

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Suzana Ilić

@suzatweet

9 months

Yann LeCun the other day in Munich.. 🧐😬 Photo credit: Darius Burschka

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Suzana Ilić

@suzatweet

4 years

Principles of good machine learning systems design by @chipro

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Suzana Ilić

@suzatweet

4 years

3 pretty cool open source annotation tools for Computer Vision and NLP tasks: ⚫ Make Sense ⚫ Doccano ⚫ INCEpTION Bonus points for Make Sense: Runs in your browser without installation, and without storing your images! 👏👏👏

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Suzana Ilić

@suzatweet

5 years

A few weeks ago a linguist asked me for a recommendation on how to get started with NLP & ML. Here it is:

fast.ai Code-First Intro to Natural Language Processing

This is the playlist for the fast.ai NLP course, originally taught in the USF MS in Data Science program during May-June 2019. The course covers a blend of t...

www.youtube.com

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Suzana Ilić

@suzatweet

5 years

Found on Facebook. Can I just be a normal person please?

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Suzana Ilić

@suzatweet

4 years

I'm looking for resources/tutorials/blog posts on OOP and SWE best practices for ML and Data Science projects in production. Can anyone help? Something like @phoxicle 's slides and code for "OO Design Patterns For ML" at MLT Women in Machine Learning:

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Suzana Ilić

@suzatweet

3 years

Woke up this morning with the idea of taking a week off this summer to only do ml math. with a tutor, visualizations, exercises and the goal of creating something, like a blog post or a video or a notebook. would anyone else be up for that?

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Suzana Ilić

@suzatweet

3 years

Starting on Sunday, we'll be coding up some of the most fundamental Deep Learning architectures @__MLT__ , following A great opportunity to dive into Deep Learning if you're new to the field! APAC @pierre_wuethri & @mrityunjay_99

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Suzana Ilić

@suzatweet

4 years

Hello there. 😍

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Suzana Ilić

@suzatweet

4 years

This repo contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions, incl. state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on text/language.

GitHub - microsoft/nlp-recipes: Natural Language Processing Best Practices & Examples

Natural Language Processing Best Practices & Examples - microsoft/nlp-recipes

github.com

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Suzana Ilić

@suzatweet

3 years

A great way to approach complexity is through visual and interactive exploration. Added "Interpretability" and the "Language Interpretability Tool" to the list of interactive tools in machine learning and math. 🔥 LIT: More tools:

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Suzana Ilić

@suzatweet

5 years

How do you read research papers and implement the networks? practice. practice. practice. @dkatsios will show us a few example today. And we added some more that you can try on your own. :) Find the cheat sheet and the notebook here: ConvNets

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Suzana Ilić

@suzatweet

5 months

weekend read: RAG vs Fine-tuning (agriculture case study)

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

There are two common ways in which developers are incorporating proprietary and domain-specific data when building applications of Large Language Models (LLMs): Retrieval-Augmented Generation...

arxiv.org

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Suzana Ilić

@suzatweet

5 years

Complete Lecture Series: Stanford CS224N | NLP with Deep Learning | Winter 2019 We're very lucky that we can be wherever we want to be and learn from the most brilliant people in the world - for free.

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Suzana Ilić

@suzatweet

5 years

I think I might have the best job in the world. :) Machine Learning + Engineering + Research + People + Workshops + Projects = Happiness

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Suzana Ilić

@suzatweet

4 years

NLP community: Interpreting text models with Captum – an open source, extensible library for model interpretability built on PyTorch. Sentiment Analysis and interpreting BERT Models in the tutorials.

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Suzana Ilić

@suzatweet

5 years

Stanford CS234: Reinforcement Learning | Winter 2019 - with Emma Brunskill

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Suzana Ilić

@suzatweet

4 years

What's the most important implementation information in a Deep Learning paper and how do we code it up? @dkatsios teaches you exactly that with a series on CNN Architectures. Notebooks Videos MLT @__MLT__

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Suzana Ilić

@suzatweet

3 years

Thank you for 6.3k 🌟 You'll find all things machine learning in our @__MLT__ GitHub repos – learning resources, papers with annotations, a collection of interactive tools and our open source projects. Big thanks to all contributors! 🤖

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Suzana Ilić

@suzatweet

5 years

A @__MLT__ team has been translating material for Stanford's CS 230 Deep Learning course from English into Japanese. We're excited to share our work and hope that it'll be useful for Japanese speakers studying ML/DL. 深層学習のチートシートは日本語で利用可能になりました。

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Suzana Ilić

@suzatweet

5 years

Loved our first ML math sessions. 130 people from all over the world joined. Looking forward to more! How to read Mathematics ● Don't Miss the Big Picture ● Don’t be a Passive Reader ● Don’t Read Too Fast ● Make the Idea Your Own ● Know Thyself

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Suzana Ilić

@suzatweet

5 years

I'm kicking off a series of 11 fully remote Machine Learning Math Reading Sessions tonight at 7pm, Tokyo time. We'll go through “Mathematics For Machine Learning” by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong, to be published by Cambridge University Press.

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Suzana Ilić

@suzatweet

4 years

I thought that self-isolation wouldn't be a big problem for me, I work a lot, and I'm an introvert. It's day 5 and nope, that's not for me. I need to walk in order to think and be productive and creative, I miss cycling, and yes, people too. This sucks. I need some virtual hugs.

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Suzana Ilić

@suzatweet

5 years

A @kaggle NLP competition! 😍 Predict which Tweets are about real disasters and which ones are not. Including a getting-started-tutorial

Natural Language Processing with Disaster Tweets

Predict which Tweets are about real disasters and which ones are not

www.kaggle.com

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Suzana Ilić

@suzatweet

2 years

All lectures on probability theory by @fabinger are now online! Along with those, Michal also provides quizzes and homework! 🔥 Let us know if you'd like to see more math content! 🤖 See all 🧠 Lecture 1

A rigorous introduction to probability theory: Lecture 1 with Michal...

We're excited to host a short course of 4 lectures on probability theory:These lectures by Michal Fabinger introduce basic concepts of probability theory in ...

www.youtube.com

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Suzana Ilić

@suzatweet

3 years

Deep learning and chess. someone's favourite topics.. 😍 Also, pretty cool that Vladimir Kramnik is now a co-author of a DeepMind paper! 🤓🔥

Google DeepMind

@GoogleDeepMind

3 years

What is #AlphaZero computing when it learns to play chess, and what can we learn about chess from it? Our team investigates the emergence of human concepts in AlphaZero and the evolution of its play through training. 1/2

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Suzana Ilić

@suzatweet

4 years

We‘re a community of open education and open source contributors in ML and held more than 200 technical AI workshops, talks and study sessions with thousands of participants in the past. It’s wonderful to see us grow, way beyond Tokyo. @__MLT__ 💗

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Suzana Ilić

@suzatweet

1 year

This blog post is so good! Building LLM applications for production by @chipro Part I. Challenges of productionizing prompt engineering 🧵

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Suzana Ilić

@suzatweet

5 years

I'll spend my summer reading this. A-mazing.

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Suzana Ilić

@suzatweet

5 years

Working with a team of Full Stack ML Engineers on something in prod. Me: How can I learn more about Software Engineering? Them: We'll assign some tasks to you. Me: Yeah. Totally. Awesome. Cool. Thanks. 😎 Real me: 😱

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Suzana Ilić

@suzatweet

4 years

"During 2018 I achieved a Kaggle Master badge (...). Very often I found myself re-using most of the old pipelines over and over again. At some point it crystallized into this repository." PyTorch extensions for fast R&D prototyping and Kaggle farming

GitHub - BloodAxe/pytorch-toolbelt: PyTorch extensions for fast R&D prototyping and Kaggle farming

PyTorch extensions for fast R&D prototyping and Kaggle farming - BloodAxe/pytorch-toolbelt

github.com

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Suzana Ilić

@suzatweet

3 years

Super excited to kick off 3 days of talks on JAX/Flax, TPUs, Transformers and more during our @GoogleAI & @huggingface JAX/Flax community week! What a speaker lineup! 😍 See you there! 🤗

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Suzana Ilić

@suzatweet

4 years

In 2016 I met a Japanese 部長 in Frankfurt in a seminar. When I told him that I was about to move to Tokyo he said "You're a foreigner, you're young, and you're a woman. Nobody is going to take you seriously." I spent the best 4 years of my life in Japan. 💙

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Suzana Ilić

@suzatweet

3 years

Rules of Machine Learning: Best Practices for ML Engineering ⚫ understand whether the time is right for building a ML system ⚫ deploy your first pipeline ⚫ launch and iterate, while adding new features, evaluate ⚫ what to do when you reach a plateau

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Suzana Ilić

@suzatweet

4 years

If you're looking for guidance and advice: Highly recommended group mentorship opportunities in machine learning research.

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Suzana Ilić

@suzatweet

4 years

Celebrating 3 years @__MLT__ ! - From 2 to 6,000 members - 150 workshops & talks - OSS & AI for Social Good - ML Research - University collaborations - Fully community-driven - Nonprofit status - Tokyo | London <3

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Suzana Ilić

@suzatweet

2 years

Hello Math friends! :) We're super excited to host a series of 4 lectures on probability theory at @__MLT__ starting next week, created and led by @fabinger (The University of Tokyo, @acalonia_x )! 🎉 Lecture 1-4 in the thread 👇

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Suzana Ilić

@suzatweet

5 years

November. Full Stack Deep Learning.

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Suzana Ilić

@suzatweet

3 years

London, weekend.

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Suzana Ilić

@suzatweet

5 years

Netflix open sourced the DS Framework Metaflow. "What is the hardest thing for you as a data scientist at Netflix?" (..) getting the first version to production took surprisingly long – mainly because of reasons related to software engineering. ?

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Suzana Ilić

@suzatweet

3 years

Attention is all you need. 🧠🤖 👨‍💻 Today & June 13: Theory and implementation of "Attention Mechanisms" (PyTorch) in our Dive into Deep Learning sessions 👩🏿‍💻 On June 13 we'll read and discuss "Attention Is All You Need" (2017) in our MLT __init__ session

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Suzana Ilić

@suzatweet

8 months

gm! ☕️ weekend read 👇

Lilian Weng

@lilianweng

8 months

Feeling a bit intimidating to write about it but work on attacks can lead to good insights for mitigation. Plan to write about mitigation work separately later. Also want to thank all the researchers who shared disclosure reports w/ us so far. 🙏🙏🙏

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Suzana Ilić

@suzatweet

3 years

One of the best ways to learn is to pick up a book. In April we'll start a new series of 6 study sessions based on . Join us if you're new to DL and would like to code along with us in PyTorch. Sessions will be announced here 👇

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Suzana Ilić

@suzatweet

5 years

Our Machine Learning meetups are for free. We’re holding 30-40 events per year, 60 attendees each on average. So we’d have to cover thousands of dollars to keep our open education efforts for free. The alternative is that our community pays Meetup? Bye, @Meetup . 👋🏽

nader dabit

@dabit3

5 years

WOW is now charging attendees a mandatory $2 to attend events. If you want it to be free, you have to cover the $2 for every person that comes to your event. As someone who ran meetups for > 4 years, this sucks.

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Suzana Ilić

@suzatweet

10 months

A couple of years ago I created this repo with interactive tools for math, deep learning and interpretability. Are there good tools for LLMs out there that I could add to this list?

GitHub - Machine-Learning-Tokyo/Interactive_Tools: Interactive Tools for Machine Learning, Deep...

Interactive Tools for Machine Learning, Deep Learning and Math - Machine-Learning-Tokyo/Interactive_Tools

github.com

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Suzana Ilić

@suzatweet

3 years

Today I received a resume in dark mode. 🤓

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Suzana Ilić

@suzatweet

2 years

Super excited to kick off weekly study sessions at @__MLT__ where we'll go through @fchollet 's "Deep Learning with Python" and notebooks, led by the amazing @dkatsios ! 🙌 Best time to get into Deep Learning! Join us for the first session here

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Suzana Ilić

@suzatweet

2 years

Vacation day 1 and I just got this! 😍

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Suzana Ilić

@suzatweet

5 years

Okay this looks awesome! Free annotation tool for object detection – in the browser! Bonus points: Open source! 👏👏👏

SkalskiP

@skalskip92

5 years

is an FREE, OPEN SOURCE tool that speeds up photo labeling for object detection projects. No installation required, a browser is all you need. #AI #MachineLearning #JS @DarknetForever @ml5js @random_forests @fchollet @deeplearnjs

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Suzana Ilić

@suzatweet

4 years

The nonprofit "Open Syllabus Project" collects and analyzes millions of syllabi across fields (using ML and other methods) to support educational research and novel teaching and learning applications. The results are made freely available. #OpenEducation

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Suzana Ilić

@suzatweet

3 years

"If you can spend Monday coding, Tuesday designing a workshop, Wednesday writing a blog post and Thursday crafting ML memes, this job opening is for you!" Come join us! 🤗

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Suzana Ilić

@suzatweet

3 years

cute color palette

AK

@_akhaliq

3 years

. @Gradio Demo for AnimeGANv2 Face Portrait v2 now on @huggingface Spaces demo: github:

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Suzana Ilić

@suzatweet

5 years

Amazing, congrats to the team! This sounds extremely time consuming and stressful. I’m not sure if those guys have a full time job, but if so, I will immediately stop complaining about having too much work. 👏🏼👏🏼

My team won $20,000 and 1st place in Kaggle's Earthquake Prediction competition

I just won 1st place out of 4,500+ teams in the LANL Earthquake Research competition, sponsored by Los Alamos National Laboratory. Yea, that's the place where they invented the nuclear bomb! This...

www.linkedin.com

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Suzana Ilić

@suzatweet

4 years

Wanted to visit my mom today, told her it’s been the longest week and I need to take my eyes off the screen. When I arrived she prepared a space in the garden for me to read and sleep and be for myself. It’s good to be home.

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Suzana Ilić

@suzatweet

5 years

Neuroscience and AI. I'm thrilled to have been accepted to the Neuro-inspired Computation Course at the University of Tokyo, with lectures on Brain Architecture, Brain Dynamics, Machine Learning and Reinforcement Learning.

Neuro-inspired Computation Course University of Tokyo, Japan March 21-24, 2019

ircn.jp

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Suzana Ilić

@suzatweet

5 years

Had a very important meeting today and screwed up. I was not myself, trying too hard, very nervous and all over the place. Note to self: Don't try to impress people. There's nothing to prove, to anyone. Be yourself. That's good enough.

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