AI tech abused to make people look naked

Awesome, not awesome.

#Awesome
“Computer scientists have taught an artificial intelligence agent how to do something that usually only humans can do take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.” — Kristen Grauman, UT Austin Professor Learn More from Human Bioscience >

#Not Awesome
“On Wednesday, Motherboard reported that an anonymous programmer who goes by the alias “Alberto” created DeepNude, an app that takes an image of a clothed woman, and with one click and a few seconds, turns that image into a nude by algorithmically superimposing realistic-looking breasts and vulva onto her body.” — Samantha Cole, Editor Learn More from Vice >

What we’re reading.

1/ AI programs used in call centers are filling the role once assumed by management, coaching employees to perform better on each of their calls. Learn More from The New York Times >

2/ The AI bubble is unlikely to have a negative impact on the banking system the like bubbles of the past since artificial intelligence companies are being financed by equity investors rather than bank loans. More from MIT Sloan Management Review >

3/ AI experts wonder if algorithms will have the same capacity for creativity as humans if they never feel bored. Learn More from Quanta magazine >

4/ The terms of the debate surrounding the ethics of facial recognition software have largely been set by big Tech companies — the result may amount to the “last days of privately owning our own faces.” Learn More from The Atlantic >

5/ Firefighters in Southern California have begun relying on algorithms to predict where wildfires may appear next, hoping they’ll be able to reduce the spread before they cause mass damage. Learn More from The New York Times >

6/ Casinos as turning to AI to predict uncertain outcomes in games, further stacking odds in their favor and against the players’. Learn More from Axios >

7/ A whopping 20% of all AI startups are focused on building products within the health and wellbeing sectors — exciting news for humanity! Learn More from AVC >

Links from the community.

“Machine learning systems are stuck in a rut” submitted by Samiur Rahman (@samiur1204). Learn More from the morning paper >

“Write With Transformer” submitted by Clément Delangue (@clementdelangue). Learn More from Hugging Face >

“The State of AI 2019: Divergence” submitted by Avi Eisenberger (@aeisenberger). Learn More from speakerdeck >

“A guide to deploying Machine/Deep Learning model(s) in Production” by Mahesh Kumar. Learn More from Noteworthy >

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