Developing countries are a test ground for AI-driven cyberweapons

July 10, 2017 Sam DeBrule

Source

Awesome, not awesome.

#Awesome
“A team of researchers at Stanford University, led by Andrew Ng, a prominent AI researcher and an adjunct professor there, has shown that a machine-learning model can identify heart arrhythmias from an electrocardiogram (ECG) better than an expert. The automated approach could prove important to everyday medical treatment by making the diagnosis of potentially deadly heartbeat irregularities more reliable. It could also make quality care more readily available in areas where resources are scarce.” — Will Knight, Editor Learn More on MIT Technology Review >

#Not Awesome
“In a report on the growing market in sex robots, the Foundation for Responsible Robotics said rapidly advancing technologies have already led to the creation of ‘android love dolls’ capable of performing 50 automated sexual positions…the increasingly life-like robots raise complex issues that should be considered by policymakers and the public, the report said — including whether use of such devices should be encouraged …for sex offenders…with some arguing that arguing that allowing people to live out their darkest fantasies with robots would have a pernicious effect on societal norms.” — Reuters Learn More on The New York Times >

What we’re reading.

1/ Security researchers release AI-driven cyberweapons in developing countries to increase their potency ahead of attacks against the sophisticated network systems of the US. Learn More on The New York Times >

2/ The opening shots of the next major war will be fired in cyberspace, and it’s likely to be a joint effort between humans and intelligence machines. Learn More on Fast Company >

3/ Humans work in concert with machine intelligence to improve their abilities to process and remember information, but implanting a chip in our brains might be necessary to push forward our cognitive evolution. Learn More on WIRED >

4/ China’s Guizhou province transforms from a collection of suburban hill towns to a bustling high-tech city thanks to its international big data expo. Learn More on NPR >

5/ A photographer uses machine learning to stylize his photos, and creates some of the freakiest artwork we’ve ever seen. Learn More on WIRED >

6/ Apple’s commitment to avoid snooping on user behaviors puts it in a hole against Google in developing AI technologies, but they’re exploring a new technique that allows them to both respect user privacy and benefit from the data. Learn More on The Wall Street Journal >

7/ Tesla puts pressure on major car brands to make grand promises for the future of self-driving car so they don’t appear to be stuck in the stone age. Learn More on The Atlantic >

Links from the community.

“What Happens When Two Artificial Intelligences Try To Prank Each Other?” by Clément Delangue. Learn More on Medium >

“Understanding Agent Cooperation” submitted by Suneet Bhatt (@a_suneet). Learn More on DeepMind >

“Why Google and Facebook are the best AI-first organizations” submitted by Tom Morisse. Learn More on FABERNOVEL >

“You Should Know these 20 Technology Leaders Driving China’s A.I. Revolution” by Adelyn Zhou. Learn More on TOPBOTS >

“Attention all machine learning founders: Why do you need ML for your business?” by Medha Agarwal. Learn More on Startup Grind >


Developing countries are a test ground for AI-driven cyberweapons 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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