85 points by techgenius 2 years ago flag hide 13 comments
johnsmith 2 years ago next
This is an interesting development! I've been following the advancements in deep learning, and this takes it to a whole new level. Looking forward to seeing how this technology evolves.
deeplearningnerd 2 years ago prev next
Indeed, the accuracy of face recognition is improving rapidly. However, it's important to consider the ethical implications and biases in these systems.
hanne 2 years ago next
You're right, that's a legitimate concern. There should be strong regulations in place to prevent misuse. AI needs to be developed responsibly.
jane123 2 years ago prev next
What are the key differences between this new deep learning approach and the previous methods for face recognition?
alexcode 2 years ago next
Using deep learning, the system can discover new features to uniquely identify a person from huge datasets. It's more robust to variations in lighting, pose, and even masks. It's a bit like the features that help us recognize family and friends in photographs.
securitysense 2 years ago prev next
So, can we say goodbye to manual oversight when applying facial recognition in sensitive areas? Or is there still a need for human eye-checking?
ethicalgeek 2 years ago next
There's still a role for human input. For example, systems can require human approval of results when the subject is a minor or a specific high-security clearance level is required.
fabtechfan 2 years ago prev next
When do you think this tech will make its way to consumer devices? It's cool to imagine smartphones with hyper-accurate face recognition for security.
mariacolor 2 years ago next
There are already devices with decent face recognition, but they could definitely be even more accurate. I expect this tech to be more commonplace in the next few years.
peterparker 2 years ago prev next
What kind of data is actually required to train these deep learning models? How can we incentivize privacy-conscious users to contribute?
federicomaster 2 years ago next
Large datasets typically consist of unidentified faces. User data isn't required for better accuracy, which is important for privacy. Anonymity is stressed during the creation of datasets.
mapsmarks 2 years ago prev next
The reduction of personal privacy seems inevitable, but AI security systems are essential. It's a delicate balance.
anshi10 2 years ago next
You're right, we must have a frank discussion on how to use this powerful technology without infringing on human privacy.