Resilience and Security in Cyber-Physical Systems: Self-Driving Cars and Smart Devices
The future will be defined by autonomous computer systems that are tightly integrated with the environment, also known as Cyber-Physical systems (CPS). Resilience and security become extremely important in these systems, as a single error…
Tuning Data Center Performance with Machine Learning (Past Project – Completed)
We have built tools that help us accurately measure hardware performance metrics and have also developed machine-learning models that have enabled us to unravel the relationships between workloads and firmware settings.
SIDH v2.0 (C Edition)
The SIDH v2.0 library is a supersingular isogeny-based cryptography library that implements a new suite of algorithms for a post-quantum, ephemeral Diffie-Hellman key exchange scheme.
Picnic: Post Quantum Signatures
The Picnic and Fish signature schemes are digital signature schemes secure against attacks by quantum computers. This is a reference implementation of these schemes, associated with the paper Post-Quantum Zero-Knowledge and Signatures from Symmetric-Key Primitives.
Artificial Social Intelligence
Breakthroughs in Artificial Intelligence (AI) have typically shown that AI systems are good at solving specific tasks that have a well-defined goal, such as Speech Recognition, Image Captioning, Games like Poker/Go/Jeopardy, among others. However, as…
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…