How IBM Research built a lab for the future of computing
Deep Dive
Mike Murphy
A lab for the future of computing
Welcome
In a lab in Yorktown sits the most advanced quantum computer in the world, and a cluster of revolutionary prototype AI chips. It's where we're inventing what's next.
Recent news
Improving Hugging Face training efficiency through packing with flash attention
Technical noteRhui Dih Lee, Arthur Zucker, Achintya Kundu, Laura Wynter, Raghu Ganti, and Mayank MishraEnhancing enterprise AI with the IBM Spyre Accelerator
NewsMike MurphyPonder This:
August ChallengePuzzleBreaking down the AI transformer
ExplainerKim MartineauRelease news: Qiskit SDK v1.2 is here!
NewsQiskit Team- Read more news on our blog
Tools + Code
InstructLab
A community-based approach to building open-source LLMs, created by engineers from Red Hat and IBM Research.
View project →IBM Granite Open-source Models
A series of enterprise-focused, open-source models for language, code, time series and geospatial.
View project →Project CodeNet
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.
View project →GT4SD
An open-source library to accelerate hypothesis generation in the scientific discovery process.
View project →