Want to create fake web profile pics? This creepy AI tool makes them on demand. Plus predictive policing, and more

www.theregister.co.uk | 4/6/2019 | Staff
NightyNighty (Posted by) Level 3
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Roundup Here's a summary of what's been going on in the world of machine-learning, beyond what we've already covered, to kick start your week...

Google ramping up AI chips: It looks like Google have hired a bunch of new chip engineers in India to crank up its efforts for building hardware for AI and mobile phone applications.

Team - Engineers - Recruiters - Ol - LinkedIn

The team is, apparently, made up of 16 engineers and four recruiters, according to some good ol’ LinkedIn stalking by Reuters. Some of them have been snagged from other companies like Intel, Qualcomm, Broadcomm and Nvidia.

Google’s chips, like its Tensor Processing Units (TPUs), are used to accelerate the training and inference of deep learning models over the cloud. It also has a couple of designs for its Pixel smartphones, like the Pixel Visual Core for image processing and the Titan M chip to bolster security.

Recruits - Chip - Designs - Blueprints - Manufacturer

The new recruits will test different possible chip designs, before the blueprints are shipped off to a manufacturer.

The problem of AI and predictive policing: The AI Now Institute has published a report outlining the challenges of law enforcement using AI algorithms to help forecast criminal activity.

Research - Center - New - York - University

The research center based at New York University focuses on the social impact of AI. The paper shows the negative effects of relying on flawed data and focuses on thirteen case studies from different law enforcement agencies in the US.

For example, “dirty data” contains hidden biases that might predict that certain areas have elevated levels of crime. More police may be deployed in that area, leading to more racial profiling and arrests.

Systems - Jurisdictions - Histories - Police - Practices

“Deploying predictive policing systems in jurisdictions with extensive histories of unlawful police practices presents elevated risks that dirty data will lead to flawed, biased, and unlawful predictions which in turn risk perpetuating additional harm via feedback loops throughout the criminal justice system,” the researchers wrote...
(Excerpt) Read more at: www.theregister.co.uk
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