Google brings cross-platform AI pipeline framework MediaPipe to the web
https://venturebeat.com/2020/01/28/google-brings-cross-platform-ai-pipeline-framework-mediapipe-to-the-web/

PolyGame: An open-source framework for training AI players through self-play. Deals with many games, board size variation, partial observability...
https://ai.facebook.com/blog/open-sourcing-polygames-a-new-framework-for-training-ai-bots-through-self-play/

DeNeRD: an AI-based method to process whole images of the brain
https://medicalxpress.com/news/2019-10-denerd-ai-based-method-images-brain.html

Deep Learning–based Prescription of Cardiac MRI Planes
https://escholarship.org/uc/item/8r27603c

Decoding the Brain Goes Global With the International Brain Initiative
https://singularityhub.com/2020/01/28/decoding-the-brain-goes-global-with-the-international-brain-initiative/

New artificial intelligence inspired by the functioning of the human brain


Inspired by the functioning of the human brain and based on a biological mechanism called neuromodulation, it allows intelligent agents to adapt to unknown situations
Artificial Intelligence (AI) has enabled the development of high-performance automatic learning techniques in recent years. However, these techniques are often applied task by task, which implies that an intelligent agent trained for one task will perform poorly on other tasks, even very similar ones. To overcome this problem, researchers at the University of Liège (ULiège) have developed a new algorithm based on a biological mechanism called neuromodulation. This algorithm makes it possible to create intelligent agents capable of performing tasks not encountered during training. This novel and exceptional result is presented this week in the magazine PLOS ONE.
https://techxplore.com/news/2020-01-artificial-intelligence-functioning-human-brain.html

join
https://t.iss.one/ArtificialIntelligenceArticles

Towards a Human-like Open-Domain Chatbot
Adiwardana et al.: https://arxiv.org/abs/2001.09977
#ArtificialIntelligence #Chatbot #MachineLearning

Differentiable Reasoning on Large Knowledge Bases and Natural Language
Minervini et al.: https://arxiv.org/abs/1912.10824
Open-source neuro-symbolic reasoning framework, in TensorFlow: https://github.com/uclnlp/gntp
#AIDebate #NeuroSymbolic #Reasoning

The Pioneer Panel - Bengio, LeCun & Hinton discuss their work, starting point and the future of AI!
https://www.youtube.com/watch?v=UM7_-eoXfao&t=8s join https://t.iss.one/ArtificialIntelligenceArticles

A scalable pipeline for designing reconfigurable organisms
Kriegman et al.: https://pnas.org/content/early/2020/01/07/1910837117
#EvolutionaryComputation #ArtificialLife #Bioengineering

Guest Lecture - Xavier Amatriain - Practical Deep Learning Systems - Full Stack Deep Learning
https://www.youtube.com/watch?v=5ygO8FxNB8c

NLP with Deep Learning
https://www.youtube.com/watch?v=9oTHFx0Gg3Q

great paper : Learning a distance function with a Siamese network to localize anomalies in videos. https://arxiv.org/abs/2001.09189

The Functional Organization of Cortical and Thalamic Inputs onto Five Types of Striatal Neurons Is Determined by Source and Target Cell Identities
https://www.cell.com/cell-reports/fulltext/S2211-1247(19)31760-7

MIT's 1-week deep learning bootcamp is available online for free.

Check out the intro talk here:https://www.youtube.com/watch?v=5v1JnYv_yWs&fbclid=IwAR3bSAJGZzf04z1BnREJMpZsX6IUVcFtHfoolgh-apLwKXhPBMTAySAF9Rk
#DeepLearning #ML #MachineLearning #RL #DL

AraNet - New Deep Learning Toolkit for Arabic Social Media https://github.com/google-research/bert/blob/master/multilingual.md

A Warehouse Robot Learns to Sort Out the Tricky Stuff

At a facility near Berlin, a new kind of robot is automating tasks that until recently had been out of the reach of machines.



https://www.nytimes.com/2020/01/29/technology/warehouse-robot.html

I've launched a project, concerning construction of an ai based nCov coronavirus detector. All data scientists/machine learning developers/ai devs are welcome to contribute, or point to similar projects.

https://github.com/JordanMicahBennett/SMART-CORONA_VIRUS_DETECTOR/

Is there any Dataset ?

Some data is here, although I haven't gone through them all to see if they are consistent with the input type example I express on GitHub:

https://datasetsearch.research.google.com

This website is a collection of 25 million datasets collated by Google.