Countries battling it out for machine learning supremacy

…could mean international instability for the rest of us

Awesome, not awesome.

"Industrial robots are capable of killing a person…. [but] advances in sensors, computing, and software are changing the way robots can be designed and used. New kinds of warehouse, office, store, and delivery robots are being tested and commercialized thanks to this progress. A generation of manufacturing robots has appeared in recent years that can work alongside people, but only because they are not powerful enough to cause any harm. Yet this limits not just what they can lift but how precisely they can operate over a significant distance. Recent leaps in machine learning, meanwhile, seem likely to give robots yet more capabilities. Many researchers are working on ways for robots to learn, through practice and experimentation, how to grasp even awkward and unfamiliar objects." – Will Knight, Editor Learn More from MIT Technology Review >

#Not Awesome
“[A study of pro-eating disorder communities] also found that sites like Pinterest and Instagram sometimes suggest more pro-ED content to users via their recommendation algorithms. It isn’t an isolated problem—researchers have found that recommendation engines on platforms like YouTube also suggest problematic content, like conspiracy theories. But unlike fake news, users who share pro-eating disorder content could be suffering from a serious illness like anorexia or bulimia. Companies need to weigh not just the content itself, but also the effect that removing it might have on the vulnerable people who share it." – Louise Matsakis, Writer Learn More from WIRED >

What we're reading.

1/ When governments around the world become more aware of machine learnings' ability to transform all parts of society, expect a technological arms race to ensue – and international instability to follow. Learn More from Ian Hogarth >

2/ A former employee of Clarifai, a NYC-based startup that was allegedly helping the Pentagon use machine learning to enhance drone surveillance, says he was fired for asking the company to disclose that their systems were compromised by malware originating in Russia. Learn More from WIRED >

3/ A leading economist thinks that the government should put "maximum employment" policies into place so that fewer communities are negatively impacted by automation. Learn More from The New York Times >

4/ Amazon lays off several high-paid employees after new algorithms that outperformed human-directed merchandising and negotiating decisions. Learn More from Bloomberg >

5/ No one benefits when black box AI systems make decisions we can't understand, but making them fully-explainable will hugely limit their potential. Learn More from TechCrunch >

6/ AI like Google Maps, is a slippery slope. By augmenting us with route guidance, alternative routes, and ETAs, does it slowly strip us of our agency? Learn More from Quartz >

7/ If engineers who write drug-prescribing algorithms of the future aren't careful about the data they feed their algorithms, expect our future society to be one that is heavily medicated. Learn More from Scientific American >

Links from the community.

"The Future of AI and Security Dawn Song (UC Berkeley)" submitted by Dakota McKenzie (@dakotamckenzie). Learn More from Vimeo >

"Tackling the Ethical Challenges of Slippery Technology" submitted by Anab Jain. Learn More from Noteworthy >

"Python vs (and) R for Data Science" submitted by Brian Ray Brian Ray. Learn More from Noteworthy >

"Deep Learning: A Critical Appraisal" submitted by Wes Chow (@weschow). Learn More from arXiv >

"BlockDrop: Dynamic Inference Paths in Residual Networks" submitted by Marla Kertzman (@marlakertzman). Learn More from arXiv >

"A Low Power, High Throughput, Fully Event-Based Stereo System" submitted by Marla Kertzman (@marlakertzman). Learn More from IBM Research >

"Introducing Model Management" submitted by Mac Steele (Mac Steele). Learn More from Domino >

"🚀100 Times Faster Natural Language Processing in Python" submitted by Samiur Rahman Samiur Rahman. Learn More from Hugging Face >

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Countries battling it out for machine learning supremacy was originally published in Machine Learnings on Medium, where people are continuing the conversation by highlighting and responding to this story.

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