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Post #5705 2.28K
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/
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.
Post #5699 2.17K
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

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

#ArtificialIntelligence #DeepLearning #MachineLearning
Post #5696 2.55K
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…
Post #5692 2.06K
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
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
Post #5690 1.7K
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
Post #5689 2.57K
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
Study Finds No stopping AI? Scientists conclude there would be no way to control super-intelligent machines Movies have already started pondering if future robots will one day threaten the human race. Now, scientists say there may be no way to stop the rise of machines.
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