rand3289
rand3289 t1_j9li043 wrote
Reply to comment by IluvBsissa in MIT researchers makes self-drive car AI significantly more accurate: “Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. by IluvBsissa
In this case driving was a toy example.
In the future we might use this technology for autonomous driving or we might not due to say problems with explain-ability . Too early to tell.
This might be good or bad news for AI in general since this is supporting a technology very different than current statistics-based narrow AI. Biologically inspired NNs could take off and people could slow the narrow AI research which is also very important.
In my opinion Narrow AI will always out-compete General AI on some specific tasks.
Think of this as internal combustion vs steam... it did a lot of good for the engines but almost eliminated the research on steam engines. Whereas steam turbines are still used at the power plants and this research could be useful.
rand3289 t1_j9kq4mz wrote
Reply to comment by IluvBsissa in MIT researchers makes self-drive car AI significantly more accurate: “Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. by IluvBsissa
This is not an advance in self driving cars. This is an advance in Spiking Neural Network research. In my opinion it's important since it brings us closer to understanding how Biological Neural Networks work.
rand3289 t1_j7pwnh3 wrote
Using spikes (points in time) instead of symbols (ex: [0,1]) to avoid the "Chinese Room argument". Here is my take on it: https://github.com/rand3289/PerceptionTime#readme
rand3289 t1_j7jdmjq wrote
Reply to High-speed cameras and deep learning [Research] by A15L
My research would greatly benefit from high speed cameras: https://hackaday.io/project/167317-fibergrid
rand3289 t1_iyt0fts wrote
Reply to Among women, insecurity related to being perceived as abnormal or deficient is the primary motive that mediates the association between orgasmic difficulty and the frequency of faking orgasm. by Respawan
English to English translation of the title: "Women fake orgasms because they are afraid you will think they are not normal.
rand3289 t1_j9otfz6 wrote
Reply to comment by IluvBsissa in MIT researchers makes self-drive car AI significantly more accurate: “Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. by IluvBsissa
Who knows... we could have been using gas turbines or sterling engines or electric motors more widely.