Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts

Wednesday, June 6, 2018

What happens when two roboticists, one engineer and one holographic doctor are together on a panel?

Actor Robert Picardo, who played The Doctor in Star Trek Voyager. 
We found out Saturday, when when three of our professors were on the same panel at the holographic doctor from Star Trek Voyager, aka actor Robert Picardo. They discussed the future of healthcare robotics and AI. It was all that of "The Future of Medicine," an event hosted by the Clarke Center for Human Imagination, June 2 here on campus. Below is a Twitter thread with some of the event's highlights.










From left: computer science professors Henrik Christensen and Laurel Riek.
Christensen is the director of the Contextual Robotics Institute at UC San Diego. 






Ramesh Rao, director of the Qualcomm Institute at UC San Diego, is also a professor
in the Department of Electrical and Computer Engineering. 







A model of the original tricoder used in the Star Trek series. 

Tuesday, February 27, 2018

It's about empowering people; it's not about replacing people: The future of robotics


"It's about empowering people. It's not about replacing people."
That's the message that Henrik Christensen, director of the Contextual Robotics Institute at UC San Diego, has been trying to spread about robotics and automation.
He spoke to Per Sjöborg from Robohub in an extensive interview.

Some highlights and predictions from the video:

"Robots are going to be pervasive in our lives going forward." That means researchers will need to figure out how to make it easy for everyone to interact with robots. "I want people who have never used a computer to be able to use this technology."

"One day we'll have robotic beds that will make sure you get adequate sleep."

"By the time I retire, I will have a self-driving car."

"We might have food that has never been touched by humans [only by robots]."



Wednesday, February 14, 2018

"U Hack" and "Bog Love;" What happens when you train a neural network to write messages for Valentine's Day candy hearts

What happens when you train neural networks to write messages for candy hearts on Valentine's Day:




Here is Shane's original post:
 
And here are links to the news coverage:
NPR
Popular Science
CNET
Bustle

For more on Shane's previous experiments on neural networks, read our story here:
When artificial intelligence is funny



Tuesday, October 31, 2017

Need a last-minute Halloween costume idea? This neural network has got you covered!

Need a last-minute costume idea for Halloween? How about a cyborg bat? Or a vampire shark? Or a magic sexy hamburger?
These are all costumes generated by a neural network trained by Jacobs School alumna Janelle Shane. Shane, who earned a Ph.D. in electrical engineering at UC San Diego in the lab of Professor Shaya Fainman, works with lasers by day. But her hobby is working with neural networks to create funny data sets.
For this project, she crowdsourced 4500 costume ideas from her blog readers and fed them to a neural network.
The network did not disappoint, generating costume suggestions such as vampire Big Bird, celery blue Frankenstein and strawberry shark.
Soon, Shane's readers were getting into the game and drawing the costumes the neural network suggested.
First up, strawberry shark:

And then: Bearley Quinn (courtesy of Twitter user @vonbees):



But Shane's readers weren't done. Soon they started making some of the costume suggestions a reality.
Twitter user Liz Walsh dressed up as the Dragon of Liberty:



Twitter user @HerbLovesTech and his wife dressed up as Professor Panda and Shark Princess:


And Shane? She took her inspiration from an entry in the costume data base. She will be Ruth Vader Ginsburg (that's a mash up of Supreme Court Justice Ruth Bader Ginsburg and Star Wars villain Darth Vader):


For more neural-network generated Halloween costumes, read Shane's blog post here. And read this news story by writer Rae Paoletta here and this Popular Mechanics story by writer Sophie Weiner.