Charting a path to quantum-safe transformation through industry initiatives
Explainer
Lory Thorpe and John Buselli
- Quantum Safe
An open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence.
A large-scale dataset with approximately 14 million code samples, each of which is an intended solution to one of 4000 coding problems. Rich annotation enables research in code search, code completion, code-code translation, and myriad other use cases.
The technologies underlying Project Debater available as cloud services. Includes core natural language understanding capabilities, argument mining, and narrative generation.
An open-source library to accelerate hypothesis generation in the scientific discovery process.