AI-enabled software creates 3D face from single photo
I wrote on my blog about this development and more generally about the increasing ease with which AI tools can forge convincing media. Go see my creepy 3D face.
Next discussion meeting Apr 2: Brain-Computer Interface, now and future
During our next discussion meeting, we’ll explore the status, future potential, and human implications of neuroprostheses–particularly brain-computer interfaces. If you are local to Albuquerque, check our Meetup announcement to join or RSVP. The announcement text follows. Focal questions What are neuroprostheses? How are they used now and what may the future hold for technology-enhanced sensation, motor control, communications, cognition, and other human processes? Resources (please review before the meeting) Primary resources • New Brain-Computer Interface Technology (video, 18 m) https://www.youtube.com/watch?v=CgFzmE2fGXA • Imagining…
Should AI agents’ voice interactions be more like our own? What effects should we anticipate?
An article at Wired.com considers the pros and cons of making the voice interactions of AI assistants more humanlike. The assumption that more human-like speech from AIs is naturally better may prove as incorrect as the belief that the desktop metaphor was the best way to make humans more proficient in using computers. When designing the interfaces between humans and machines, should we minimize the demands placed on users to learn more about the system they’re interacting with? That seems…
MIT AI Primer
Here’s a useful artificial intelligence introductory lesson from an MIT course: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture1Final.pdf
Excellent article on the history and recent advances in AI
This NY Times article is worth your time, if you are interested in AI–especially if you are still under the impression AI has ossified or lost its way.
What is neurocapitalism?
“Once the trained CNN [convolutional neural network] showed solid performance in the simulator, we loaded it onto DRIVE PX [vehicle control computer] and took it out for a road test in the car. The vehicle drove along paved and unpaved roads with and without lane markings, and handled a wide range of weather conditions. As more training data was gathered, performance continually improved. The car even flawlessly cruised the Garden State Parkway.”
Will self-improving AI inevitably lead to catastrophe?
Paul W sent the following TED Talk link and said If AI is by definition a program designed to improve its ability to access and process information, I suspect we cannot come up with serious AI that is not dangerous. It will evolve so fast and down such unpredictable pathways that it will leave us in the dust. The mandate to improve information-processing capabilities implicitly includes a mandate to compete for resources (need’s better hardware, better programmers, technicians, etc.) It…