Deep learning-enabled medical computer vision
#deeplearning #machinelearning #artificialintelligence #computervision #healthcare #medicalimaging #radiologists #radiology
https://www.nature.com/articles/s41746-020-00376-2
#deeplearning #machinelearning #artificialintelligence #computervision #healthcare #medicalimaging #radiologists #radiology
https://www.nature.com/articles/s41746-020-00376-2
Nature
Deep learning-enabled medical computer vision
npj Digital Medicine - Deep learning-enabled medical computer vision
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
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
mit6874.github.io
Spring 2021 6.874 Computational Systems Biology: Deep Learning in the Life Sciences
Course materials and notes for MIT class 6.802 / 6.874 / 20.390 / 20.490 / HST.506 Computational Systems Biology: Deep Learning in the Life Sciences
NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer
https://towardsdatascience.com/neurips-2020-papers-a-deep-learning-engineers-takeaway-4f3066523151
https://towardsdatascience.com/neurips-2020-papers-a-deep-learning-engineers-takeaway-4f3066523151
Medium
NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer
Techniques and insights for applied deep learning from papers published at NeurIPS 2020.
1 Trillion Parameters in new Language Model from Google
https://arxiv.org/abs/2101.03961
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
EurekAlert!
Chemotherapy with light; only one injection required
Researchers in South Korea have developed a phototherapy technology that can significantly increase efficiency while reducing the pain of chemotherapy and minimizing side effects after treatment. The research team has developed a cancer-targeted phototherapeutic…
Artificial human/Ai driven avatars that look realistic. Work to be done, but quite impressive:
https://www.neon.life
https://www.neon.life
Learning Mesh-Based Simulation with Graph Networks
Pfaff et al.: https://arxiv.org/abs/2010.03409
#MachineLearning #ComputationalEngineering #GraphNetworks
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
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
By domain ⬇️ https://datasetlist.com
By application ⬇️
https://github.com/awesomedata/awesome-public-datasets
Via search engine ⬇️
https://datasetsearch.research.google.com
Datasetlist
Dataset list - A list of datasets and annotation tools
A list of datasets and annotation tools for machine learning from across the web.
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
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
MarkTechPost
Google AI Introduces 'Model Search': An Open Source Platform For Finding Optimal Machine learning (ML) Models
New free Deep Learning course from MIT
https://introtodeeplearning.com/
https://introtodeeplearning.com/
MIT Deep Learning 6.S191
MIT's introductory course on deep learning methods and applications
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/
@ArtificialIntelligenceArticles
https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/
Synced | AI Technology & Industry Review
Better Than Capsules? Geoffrey Hinton’s GLOM Idea Represents Part-Whole Hierarchies in Neural Networks | Synced
A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image.
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
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
Geometric foundations of Deep Learning | by Michael Bronstein | Apr, 2021 | Towards Data Science
Medium
Geometric foundations of Deep Learning
Geometric Deep Learning is an attempt to unify a broad class of ML problems from the perspectives of symmetry and invariance.
Mask R-CNN for Object Detection in Keras
Use Keras to build the Mask R-CNN model for object detection and segmentation
https://youtu.be/c1xCaw1tcQQ
Use Keras to build the Mask R-CNN model for object detection and segmentation
https://youtu.be/c1xCaw1tcQQ
YouTube
Mask R-CNN for Object Detection
This video covers how to get set up and running with Mask R-CNN for object detection with Keras.
You can find the full code and run it on a free GPU here:
https://ml-showcase.paperspace.com/projects/object-detection-with-mask-r-cnn
Presented by Machine…
You can find the full code and run it on a free GPU here:
https://ml-showcase.paperspace.com/projects/object-detection-with-mask-r-cnn
Presented by Machine…