Research Focus areas Publications Collaborate Careers About Blog Welcome to IBM Research Inventing What’s Next. Hybrid Cloud AI Quantum Science Featured D i r e c t o r ’ s d e s k D i r e c t o r ’ s d e s k D i r e c t o r ’ s d e s k Recent news IBM Research’s AI-driven risk and impact predictions help businesses adapt to climate change Explainer Katia Moskvitch and Larry Greenemeier 23 Nov 2021 Climate IBM Research is accelerating the discovery of new ways to mitigate climate change Explainer Katia Moskvitch and Larry Greenemeier 22 Nov 2021 Materials Discovery IBM Quantum breaks the 100‑qubit processor barrier News Jerry Chow, Oliver Dial, and Jay Gambetta 16 Nov 2021 Quantum Hardware Ponder This: November Challenge Puzzle Introducing Quantum Serverless, a new programming model for leveraging quantum and classical resources News Blake Johnson, Ismael Faro, Michael Behrendt, and Jay Gambetta 16 Nov 2021 Quantum Circuits and Software New IBM Research NLP enhancements coming to IBM Watson Discovery News Shila Ofek-Koifman, Yunyao Li, and Salim Roukos 10 Nov 2021 AI Natural Language Processing Read more news on our blog N e v e r m i s s a m o m e n t Q u a n t u m H y b r i d C l o u d S c i e n c e A I Stay up to date with the latest from IBM Research on YouTube Tools + Code IBM Analog Hardware Acceleration Kit An open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. 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 ↗ Project Debater for Academic Use The technologies underlying Project Debater available as cloud services. Includes core natural language understanding capabilities, argument mining, and narrative generation. View project ↗ HELayers – Community Edition SDKs for computing on encrypted data without decrypting it, provided via Docker container. Equipped with C++ and Python API’s and includes Jupyter Notebooks and VS Code IDEs with demonstrations, tutorials and documentation for AI/ML and encrypted search applications. Support for Linux, Intel, MacOS and s390x platforms. View project ↗ IBM Logo Focus areas Hybrid Cloud Artificial Intelligence Quantum Computing Science Quick links About Publications Blog Work with us Careers Collaborate Contact Research Directories Teams Researchers Follow us Twitter LinkedIn YouTube Contact IBM Privacy Terms of use Accessibility