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Showing posts with the label deeplearning

The history of machine learning.

Originally shared by Jorge Sebastiao

The history of machine learning... #AI #Innovation #Disruption #DeepLearning #MachineLearning #Robotics #5G #IoT #ArtificialIntelligence #NeuralNetworks #Singularity

https://www.bbc.com/timelines/zypd97h
https://www.bbc.com/timelines/zypd97h

Artificial Intelligence Can Predict Premature Death

Originally shared by Neuroscience News

Artificial Intelligence Can Predict Premature Death

Machine learning significantly improves the accuracy of predicting premature deaths, from all causes, in a middle-aged population compared with more traditional models.

They found this AI system was very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts. The study is published by PLOS ONE in a special collections edition of “Machine Learning in Health and Biomedicine”.

The team used health data from just over half a million people aged between 40 and 69 recruited to the UK Biobank between 2006 and 2010 and followed up until 2016.

https://neurosciencenews.com/ai-death-prediction-10959/

Open Access Research:
“Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches”
Stephen F. Weng, Luis Vaz, Nadeem Qureshi, Joe Kai.
Published: March 27, 2019 PLOS ONE
doi:10.1371/journal.pone.0214365

#neuroscience #AI #machinelearning #deeplearning #science
https://neurosciencenews.com/ai-death-prediction-10959/

One more reason to like Google ;)

One more reason to like Google ;)

In literally giving its deep learning technology away, Google believes it can accelerate the evolution of AI

#artificialintelligence   #google  

Originally shared by Phil Soper

True #wow: @Google has opened up its super-secret artificial intelligence technology to the world http://ht.ly/Us2u7 #deeplearning
http://ht.ly/Us2u7

The basics of Artificial Intelligence (AI), Cognitive Computing and Deep Learning explained by David Amerland

Originally shared by Digital CRM

The basics of Artificial Intelligence (AI), Cognitive Computing and Deep Learning explained by David Amerland 

#AI   #deeplearning   #cognitivecomputing   #Digitalcrm  
https://www.plusyourbusiness.com/a-quick-introduction-to-machine-learning/

Impressive trial and error #deeplearning #artificialintelligence #robots - mimicking human learning, May 2015...

Originally shared by Singularity 2045

Impressive trial and error #deeplearning #artificialintelligence #robots - mimicking human learning, May 2015 via UC Berkeley.

You don't need to be super-intelligent to see how thirty years of progress, from 2015 to 2045, will entail the #Singularity - explosive intelligence.

Robots have now matched human speed and dexterity. Baby robots will soon grow up.

UC Berkeley News Center (21 May 2015): "...researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence." https://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/ (https://archive.is/N7SNe#selection-381.0-381.249 https://web.archive.org/web/20150523092201/https://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/).

The New York Times wrote (21 May 2015): "...putting a clothes hanger on a rod, inserting a block into a tight space and placing a hammer at the correct angle to remove a nail from a block of wood — may seem like pedestrian actions. But they represent significant advances in robotic learning, by a group of researchers at the University of California, Berkeley, who have trained a two-armed machine to match human dexterity and speed in performing these tasks." http://www.nytimes.com/2015/05/22/science/robots-that-can-match-human-dexterity.html?_r=0

The NY Times added: "By combining several types of pattern recognition software algorithms known as neural networks, the researchers have been able to train a robot to perfect an action such as correctly inserting a Lego block into another block, with a relatively small number of attempts."
http://www.nytimes.com/2015/05/22/science/robots-that-can-match-human-dexterity.html?_r=0