Microsoft unveils Project Brainwave for real-time AI
By Doug Burger, Distinguished Engineer, Microsoft Today at Hot Chips 2017, our cross-Microsoft team unveiled a new deep learning acceleration platform, codenamed Project Brainwave. I’m delighted to share more details in this post, since Project…
Resource Efficient Driving Policy
When attacking the problem of Autonomous Driving, one must take into account strict computational constraints, posed by the desired low cost of sensors and processors, and by the required real-time performance. Specifically, when considering Driving…
Trading-Off Cost of Deployment Versus Accuracy for Predictive Models
Predictive models are finding an increasing number of applications in many industries. As a result, a practical means for trading-off the cost of deploying a model versus its effectiveness is needed. Our work is motivated…
Small Deep Neural Networks – Their Advantages, and Their Design
Deep neural networks (DNNs) have led to significant improvements to the accuracy of machine-learning applications. For many problems, such as object classification and object detection, DNNs have led to levels of accuracy that are acceptable…
Post-quantum cryptography from supersingular isogeny problems?
We review existing cryptographic schemes based on the hardness of computing isogenies between supersingular isogenies, and present some attacks against them. In particular, we present new techniques to accelerate the resolution of isogeny problems when…
SDVBench
This repository contains a subset of the internal tests used by Microsoft’s Static Driver Verifier tool. These tests are generated from Window’s Device Drivers while checking for one of the various properties that WDM drivers must satisfy. For…
Workshop on Quantum Algorithms and Devices – Morning Sessions II
10:50 AM–11:20 AM | Xiaodi Wu – Quantum Query Complexity of Entropy Estimation 11:25 AM–11:55 AM | Stephanie Wehner – Quantum Internet: The Certifiable Road Ahead