rhindi

9 ms·

31.
by rhindi 7y ago
It’s starting to, yes, in particular for machine learning. There is a yearly competition called iDash where people show the performances of their homomorphic schemes. This year should be very interesting
32.
by rhindi 7y ago
Some of the newer schemes are much faster. The recent progress feels like deep learning in 2010, right before everyone realized it worked
33.
by rhindi 7y ago
There are as many usecases as there is sensitive data! Some of the obvious ones are automated medical diagnosis, genomics, biometric authentication, fraud detection, etc. What has prevented those usecases from happening at scale is the perf
34.
by rhindi 8y ago
Hi everyone! I am a co-founder at Snips. This is a new product we are working on, which is due for next year You can read more about it here https://medium.com/snips-ai/snips-air-a-private-by-design-op... We will be pu
35.
by rhindi 8y ago
It started as we wanted to avoid using credit cards and thus having to identify users (the whole point of this new product is 100% privacy). The token will be user to run a TCR-like appstore on the consumer side, and to incentivize people t
36.
by rhindi 8y ago
I can guarantee it is not! We are a VC backed, 60 people AI team from Europe, having worked on AI for a few years. This is a new product we are launching next year
37.
by rhindi 8y ago
Hey! We are publishing the whitepaper in a few weeks. We use a blockchain in a number of places, both on the consumer side for the skills marketplace, and on the developer side for federated learning.
38.
by rhindi 9y ago
Speech to text is precisely the most sensitive thing to protect. There is simply no way to offer real Privacy when processing voice in the cloud.
39.
by rhindi 9y ago
The french privacy council just issued an official warning regarding cloud-based voice assistant. They recommend switching them off when not using them, and telling your friends you have one when the come over! Not sure they will be GDPR co
40.
by rhindi 9y ago
We will be open sourcing it gradually over the year
41.
by rhindi 9y ago
Every component publishes a message on the local network, so you can have other devices like an iPad capture the output
42.
by rhindi 10y ago
Actually, we have an example of this happening with messenging apps. No one used to care about end to end encryption, until Telegram and Signal became popular and WhatsApp followed up. The result is that today, consumers demand it in any m
43.
by rhindi 10y ago
Hey author here! I think the debate comes more and more often in the public opinion, and I believe privacy will soon become something people will demand when they buy hardware and software, just like memory capacity or battery usage. But we
44.
by rhindi 10y ago
Author here! I am the founder of https://snips.ai . At Snips, we are building an assistant that is private by design: what I describe in the article are things we actually work on today :-) Happy to share my thoughts on it and co
45.
The Road to Artificial Intelligence(medium.com)
116 points by rhindi 10y ago|16 comments
46.
NTM-Lasagne: A Library for Neural Turing Machines in Lasagne(medium.com)
29 points by rhindi 11y ago|0 comments