Neuromorphic computing
Neuro-inspired AI to optimize learning and computing efficiency of next generation AI
In-memory computing
Memory devices, compute cores and applications such as deep learning and neuro-symbolic AI
High-Speed I/O Links
Designing the next generation High-Speed I/O Links targeting low power consumption, low latency and small silicon area
Tape research
Storage solutions for Big Data
Neuro-Vector-Symbolic Architecture
Processing with vectors for incremental and fast larning, and transparent computing
Snap machine learning
A library that provides high-speed training of popular machine learning models on modern CPU/GPU computing systems
Cloud storage
Cloud storage technology & software-defined storage
Future non-volatile memory systems
Enhancing storage performance and reliability
Join our team
We are currently looking for highly motivated and enthusiastic software engineers and researchers.
Contact
Robert Haas
Department head