Are you a human centered data scientist interested in leading multi-disciplinary design teams? We are looking for a data science lead at the @ideo studio in Palo Alto.
https://t.co/5fOtCI5nm8
“Machines might be perfectly consistent in capturing what’s happening—but real value is created when we apply the lens of human-centered design.” @ideo design director @frrmack speaks to the importance of humanizing endeavors in #augmentedintelligence. https://t.co/xz6NrB32zw
"Taking a human-centered approach to building relationships between AI and humans compels us to meet humans on their terms." @justinmassa explains why AI must earn our trust, rather than ask for it: https://t.co/qKqPnQUIxX via @qz
We teach our machines every day: Voice assistants learn how to talk to us based on what we say to them, and navigation apps guide us based on the routes we take. But what if we could teach our machines more actively? Could AI learn what's important to us? https://t.co/s4nixpfB9T
Join us on 6/13 for an evening of Design & Data with @stefpos and @jschwabish, hosted by @jessfreaner. They'll share things they're working on, passionate about, and some cool projects that are about to launch! https://t.co/xeNAMI8DMb
The Data Science Chicago meetup is BACK, tomorrow at 5pm with @heychrisbarr at @ideo! Topic: The State of Tech in the Art World. https://t.co/Bq1sqruqDh
“The upside to automation that no one talks about: It has the potential to make the future of work more creative.” —@tceb62 via @qz https://t.co/NqOo77rnBD
Lots of exciting work to share today about #MusicVAE on the #Magenta blog: a full description, a JavaScript library built on @deeplearnjs, 3 browser-based apps to try it yourself, and examples galore!
https://t.co/mrfOp9rdu6
Yessss! User-driven goals + personalized calibration = ML as augmentation. So much win when AI is treated like a tool instead of a product. https://t.co/51xscsns6B
Our most recent paper on visualizing neural networks is one of the best thing I've ever done. https://t.co/TqU6UYyqr2
It qualitatively changes the questions we can ask. One basic example:
neuron 426 fired ~= useless
[floppy ear] fired = very interesting!