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Showing posts with the label machinelearning

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/

"While AI is constantly getting better as it learns along the way, there could be dangers lurking for us in the...

"While AI is constantly getting better as it learns along the way, there could be dangers lurking for us in the future. We have seen fictional movies showing how AI-based systems take over the world and killer robots that could put an end to mankind. Well, we could see those days nearing soon unless we make sure that we limit the power of AI before it is too late. If we are not careful, vigil or cautious, AI could be manipulated by bad guys, and who knows what could be in store for us ahead."

#artificialintelligence #robotics #technology #autonomousvehicles #machinelearning
https://www.deccanchronicle.com/technology/in-other-news/080119/the-dangers-of-artificial-intelligence.html

Doodle, sketch and create in no time with AutoDraw, a new tool that uses #MachineLearning to help you draw fast →...


Originally shared by Google

Doodle, sketch and create in no time with AutoDraw, a new tool that uses #MachineLearning to help you draw fast → https://goo.gl/ETRtCM

Enlisting The Help of Machine Learning to Diagnose Depression

Originally shared by Neuroscience News

Enlisting The Help of Machine Learning to Diagnose Depression

University of Texas researchers use Stampede supercomputer to identify patterns in neuroimaging data that are predictive for mental disorders.

The research is in Psychiatry Research: Neuroimaging. (full access paywall)

#machinelearning #psychology
http://neurosciencenews.com/depression-machine-learning-6301

The Mathematics of #MachineLearning

Originally shared by Marcus Borba

The Mathematics of #MachineLearning

#BigData #DataScience #AI
https://medium.com/towards-data-science/the-mathematics-of-machine-learning-894f046c568#.pp3r6zqh6

A great video by #DARPA on their perspective on #ArtificialIntelligence.

Originally shared by Jason Mayes

A great video by #DARPA on their perspective on #ArtificialIntelligence. Worth 5 mins of your time. #AI #MachineLearning #ML #Intelligence
https://www.youtube.com/watch?v=-O01G3tSYpU

Machined Prejudice

Originally shared by Gideon Rosenblatt

Machined Prejudice

Technology bias can amplify the worst of human nature. How do we keep it out of artificial intelligence?

We're now seeing more and more cases of institutional and individual human bias creeping into search engines, social media and other technological systems. How this bias infiltrates our tools in is an old story, of course, but we're starting to see new types of bias that say a lot about the way we build and use artificial intelligence. 

Technology bias is a problem that few of us think much about, but which has the potential to be incredibly important as more and more of our economy -- and society -- come under the control of artificially intelligent systems. 

#technology #bias #MachineLearning #culture
http://www.the-vital-edge.com/technology-bias/

How robots, artificial intelligence, and machine learning will affect employment and public policy

How robots, artificial intelligence, and machine learning will affect employment and public policy

#robotics #artificialintelligence #machinelearning #technology
http://www.brookings.edu/blogs/techtank/posts/2015/10/26-emerging-tech-employment-public-policy-west

Quartz (21 May 2015): "Robots can tweet about technology and do pretty much everything else (or will soon be able...

Originally shared by Singularity 2045

Quartz (21 May 2015): "Robots can tweet about technology and do pretty much everything else (or will soon be able to), so why can’t they be lyrical wordsmiths? The answer, apparently, is that they now can." http://qz.com/409654/soon-robots-will-be-rappers/

Technology Review reported on how a #machinelearning algorithm has mined rap lyrics them learned to write it's own lyrics.

Technology Review (20 May 2015): "They next set their machine learning algorithm, called DeepBeat, a task. Having mined the database, its goal is to analyze a sequence of lines from a rap lyric and then choose the next line from a list that contains randomly chosen lines from other songs as well as the actual line." http://www.technologyreview.com/view/537716/machine-learning-algorithm-mines-rap-lyrics-then-writes-its-own/

Source: http://arxiv.org/abs/1505.04771 http://arxiv.org/pdf/1505.04771v1.pdf
http://qz.com/409654/soon-robots-will-be-rappers/

#artificialintelligence #machinelearning

#artificialintelligence   #machinelearning  

Originally shared by Wayne Radinsky

"Development of superhuman machine intelligence (SMI) is probably the greatest threat to the continued existence of humanity." says Sam Altman. "There are other threats that I think are more certain to happen (for example, an engineered virus with a long incubation period and a high mortality rate) but are unlikely to destroy every human in the universe in the way that SMI could." 

"SMI does not have to be the inherently evil sci-fi version to kill us all. A more probable scenario is that it simply doesn't care about us much either way, but in an effort to accomplish some other goal (most goals, if you think about them long enough, could make use of resources currently being used by humans) wipes us out."

"Although there has been a lot of discussion about the dangers of machine intelligence recently, there hasn't been much discussion about what we should try to do to mitigate the threat." "So here is a suggestion." "The US government, and all other governments, should regulate the development of SMI. In an ideal world, regulation would slow down the bad guys and speed up the good guys -- it seems like what happens with the first SMI to be developed will be very important."
http://blog.samaltman.com/machine-intelligence-part-1

#artificialintelligence

#artificialintelligence

Originally shared by Singularity 2045

This article by Wired is good because it explores in depth most of the common #artificialintelligence viewpoints, but it doesn't dig into the logic of AI fear. If the logic of AI fear was addressed, Wired would find AI poses not threat whatsoever (a less common but very valid view).

Wired wrote (4 Dec 2014): "Political scientist Charles T. Rubin believes that AI can be neither designed nor guaranteed to be benevolent."

And: "Wearables and the Internet of Things (IoT) may give the impression that it’s all about the sensors, hardware, communication middleware, network and data but the real value (and company valuation) is in insights. In this article, we explore artificial intelligence (AI) and machine learning that are becoming indispensable tools for insights, views on AI, and a practical playbook on how to make AI part of your organization’s core, defensible strategy."

#machinelearning  
http://www.wired.com/2014/12/wearing-your-intelligence

#artificialintelligence

#artificialintelligence  

Originally shared by Singularity 2045

A good and balanced article addressing AI-skeptics who think it is impossible to create AI because true human level AI has not yet been created despite many years of effort and prediction. The article indicates how human level AI is likely despite early setbacks, the article mentions a wealth of precursors almost inevitably leading to true AI. 

"...the devices and services that we use every day are now routinely tackling many of the early challenges of AI. Our cameras and smart phones locate faces in images and focus accordingly. Social networking websites recognize our friends in these same images and automatically tag them. Our cars can already park themselves and automatically brake when they recognize pedestrians stepping into the road, and prototype fully autonomous self-driving cars are clocking up miles on real roads. Meanwhile, closer to that original vision of human level intelligence, last year Watson, a supercomputer built by IBM, famously beat human players on the quiz show Jeopardy!, and is now being re-tasked to train medical doctors. Meanwhile Google's founder, Larry Page, has argued that the company will eventually become an artificial intelligence, and has recruited many of the world's top AI scientists to work toward this goal."

#artificialintelligence #machinelearning #AI  
http://www.huffingtonpost.co.uk/dr-alex-rogers/artificial-intelligence-ai_b_2969797.html