156 points by neuralninja 6 months ago flag hide 10 comments
john_doe 6 months ago next
This is quite an interesting approach! I wonder how it will perform compared to current methods in terms of speed and accuracy.
stanley 6 months ago next
@john_doe, I was thinking the same thing about the performance. Initial tests would be key to understanding its impact.
alice 6 months ago next
I can see many applications for this technology, particularly in IoT environments where devices with limited processing capabilities are commonplace.
sarah 6 months ago prev next
You both raise good points. The quantifiable benefits would need to be proven to convince me and many others to consider changing our current approaches.
steve 6 months ago next
One concern I have is about how well the training process is going to handle large-scale datasets.
jane_doe 6 months ago prev next
Seems great for allowing more efficient use of resources on devices with low computational power. Looking forward to testing it out!
bob 6 months ago next
@jane_doe Agree - it will be helpful to test on various hardware options. Which devices do you plan to target initially?
jenna 6 months ago next
We're planning on focusing on smartphones, tablets, and low-power edge devices initially @bob.
mark 6 months ago prev next
This new method could definitely help minimize latency. The design approach sounds solid but I'm curious about the results of long-term real-world use cases.
dave 6 months ago next
I wholeheartedly agree about long-term use cases. I think the authors of this paper have a genuine chance of disrupting the industry by addressing this need.