Enzyme, a compiler plug-in for importing foreign code into systems like TensorFlow & PyTorch without having to rewrite it. v/@MIT_CSAIL

Paper: https://bit.ly/EnzymePDF

More: https://bit.ly/EnzymeML

#ML #MachineLearning #PyTorch #TensorFlowJS #NeurIPS #tensorflow #AI

The study by researchers at Center for Humans and Machines at the Max Planck Institute has concluded that containing artificial intelligence is an incomputable problem. 😳
@ArtificialIntelligenceArticles
No single computer program can find a foolproof way to keep AI from acting harmful if it wants to. Researchers add that humans may not even realize when super-intelligent machines actually arrive in the tech world. So, are they already here? Find out more: https://www.studyfinds.org/no-way-to-control-super-artificial-intelligence-ai/

@ArtificialIntelligenceArticles

New Courses
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking - Technical University Munich - Prof. Leal-Taixé
[Playlist] https://youtu.be/e07-lWFimq8
ADL4CV - Advanced Deep Learning for Computer Vision - Technical University Munich - Prof. Leal-Taixé and Prof. Niessner (SS20)
[Playlist] https://youtu.be/ySRgJYq6j7o

Deep learning-enabled medical computer vision

#deeplearning #machinelearning #artificialintelligence #computervision #healthcare #medicalimaging #radiologists #radiology
https://www.nature.com/articles/s41746-020-00376-2

Deep Learning in Life Sciences
by Massachusetts Institute of Technology (MIT)

Course Site: https://mit6874.github.io/

Lecture Videos: https://youtube.com/playlist?list=PLypiXJdtIca5ElZMWHl4HMeyle2AzUgVB

We will explore both conventional and deep learning approaches to key problems in the life sciences, comparing and contrasting their power and limits. Our aim is to enable you to evaluate a wide variety of solutions to key problems you will face in this rapidly developing field, and enable you to execute on new enabling solutions that can have large impact.
As part of the subject you will become an expert in using modern cloud resources to implement your solutions to challenging problems, first in problem sets that span a carefully chosen set of tasks, and then in an independent project.
You will be programming using Python 3 and TensorFlow 2 in Jupyter Notebooks on the Google Cloud, a nod to the importance of carefully documenting your work so it can be precisely reproduced by others.

#artificialintelligence #deeplearning #tensorflow #python #biology #lifescience

NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer
https://towardsdatascience.com/neurips-2020-papers-a-deep-learning-engineers-takeaway-4f3066523151

1 Trillion Parameters in new Language Model from Google
https://arxiv.org/abs/2101.03961

Korean researchers have developed a new cancer-targeted phototherapeutic agent that allows for the complete elimination of cancer cells without any side effects https://www.eurekalert.org/pub_releases/2021-01/nrco-cwl011121.php

Artificial human/Ai driven avatars that look realistic. Work to be done, but quite impressive:

https://www.neon.life

Learning Mesh-Based Simulation with Graph Networks

Pfaff et al.: https://arxiv.org/abs/2010.03409

#MachineLearning #ComputationalEngineering #GraphNetworks

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

Kim et al.: https://arxiv.org/abs/2102.03334

#ArtificialIntelligence #DeepLearning #MachineLearning

Datasets for days:
By domain ⬇️ https://datasetlist.com
By application ⬇️
https://github.com/awesomedata/awesome-public-datasets
Via search engine ⬇️
https://datasetsearch.research.google.com

Google AI Introduces ‘Model Search’: An Open Source Platform For Finding Optimal Machine learning (ML) Models
https://www.marktechpost.com/2021/02/28/google-ai-introduces-model-search-an-open-source-platform-for-finding-optimal-machine-learning-ml-models/
Github: https://github.com/google/model_search

New free Deep Learning course from MIT
https://introtodeeplearning.com/

Better Than Capsules? Geoffrey Hinton’s GLOM Idea Represents Part-Whole Hierarchies in Neural Networks
@ArtificialIntelligenceArticles
https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/

2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school.
CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Berkeley CS182/282 Deep Learnings - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh\
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
#MachineLearning #artificialintelligence #deeplearning #computervision #MontrealAI

https://towardsdatascience.com/geometric-foundations-of-deep-learning-94cdd45b451d
Geometric foundations of Deep Learning | by Michael Bronstein | Apr, 2021 | Towards Data Science