Interior Door mat W35 x L59 INCH Butterfly,Butterfly Stages with The Cocoon Life Cycle Nature Print Artistic Illustration,Multicolor Natural dye Printing to Predect Your Baby's Skin Non-Slip Door Mat

Air Port Screen Cute Panda Painting on White Background W96 x L180 Reduce Noise Highprecision Curtains for bedrooms Living Rooms Kitchens etc.

B 45cm Lxn Counter Black Height Stool Chairs, Industrial Retro Style Square Metal Bar Stools, Kitchen with backrest stools Comfortable Leather Padded Solid Wood seat (1- PCS)

5bn people have a mobile phone now, and 4bn have a smartphone. Time to stop making charts.

Bowery Hill 30 Metal Bar Stool in Distressed Kelly Red

YONGMEI Wall Clock - European Wall Clock, Garden pink, American Clock, Bedroom, Living Round Art Clock (color White, Size 45CM) Room, Wall rnjrhy6511-Furniture

Notes on AI Bias

Machine learning is the new centre of tech, and like all big new things there are issues. ‘AI bias’ is much-discussed right now: machine learning finds patterns but sometimes it finds the wrong one, and it can be hard to tell. This is a real concern, but it’s also manageable as long as we pay proper attention to it, and will probably look much like similar issues in previous waves of automation.

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1 304045cm GJM Shop Simple Bedside Table Narrow Cabinet with Drawers Mini Bedroom Bedside Cabinet Fashion Furniture (color 1, Size 30 40 45cm)

Desk, Computer Desk Bed Desk Student Foldable Desk Desk Available in Two Sizes Portable Table (color Maple color)

Internet platforms are mechanical Turks - they can only understand things by finding a way to leverage vast numbers of humans. They’re distributed computers where all of us are the CPUs. How does that affect how we think about abuse, and how might machine learning change this? 

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Carbon+round NYDZDM Solid Wood Flower Shelf Indoor Multi-Layer Pot Rack, Balcony Storage Living Room Flower Rack (color Carbon+Round)

Smart home, machine learning and discovery

Smart home today looks a lot like the world of kitchen gadgets a few generations ago - and so does machine learning. We have a bunch of cheap commodity components (DC motors! Cameras! Wifi chips! Voice recognition!) and we’re trying to work out how to bolt them together into things that makes sense. There are lots of experiments - some things will be the toasters or benders of the future, and some will be the electric can-opener.

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