How open source paved the way for computing from anywhere
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Kim Martineau
- AI
- Hybrid Cloud Platform
- Machine Learning
- Scaling AI
Inventing What’s Next
Welcome
A breakthrough in AI efficiency
The latest prototype analog AI chip invented at IBM Research can handle common AI tasks with drastically less power than current digital hardware.
Who we are
We’re a group of scientists and researchers around the globe who deeply believe in the power of the scientific method to invent what’s next for IBM, our clients, and the world. Learn more about us.
Recent news
What are semiconductors?
ExplainerMike Murphy- Semiconductors
An open-source toolkit for debugging AI models of all data types
Technical noteKevin Eykholt and Taesung Lee- Adversarial Robustness and Privacy
- AI Testing
- Data and AI Security
Ponder This:
SeptemberChallengePuzzleAnnouncing the winners of the 2023 IBM Quantum Open Science Prize
NewsDaniella Garcia Almeida- Quantum
AI transformers shed light on the brain’s mysterious astrocytes
ResearchKim Martineau- AI
- Foundation Models
- Life Sciences
- Machine Learning
- Natural Language Processing
- Science
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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 →GT4SD
An open-source library to accelerate hypothesis generation in the scientific discovery process.
View project →