- Neutral Nets on Encrypted Data (Paper a Day) — By using a technique known as homohorphic encryption, it’s possible to perform operations on encrypted data, producing an encrypted result, and then decrypt the result to give back the desired answer. By combining homohorphic encryption with a specially designed neural network that can operate within the constraints of the operations supported, the authors of CryptoNet are able to build an end-to-end system whereby a client can encrypt their data, send it to a cloud service that makes a prediction based on that data – all the while having no idea what the data means, or what the output prediction means – and return an encrypted prediction to the client, which can then decrypt it to recover the prediction. As well as making this possible, another significant challenge the authors had to overcome was making it practical, as homohorphic encryption can be expensive.
- VR for IoT Prototype (YouTube) — a VR prototype created for displaying sensor data and video streaming in real time from IoT sensors/camera devices designed for rail or the transportation industry.
- Is Group Chat Making You Sweat? (Jason Fried) — all excellent points. Our attention and focus are the scarce and precious resources of the 21st century.
- How Devices Provide Haptic Feedback — good intro to what’s happening in your hardware.
Four short links: 8 March 2016
Neural Nets on Encrypted Data, IoT VR Prototype, Group Chat Considered Harmful, and Haptic Hardware
tags: attention, chat, deep learning, encryption, haptic, hardware, immersive, iot, machine learning, sensor data, UI