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- What are foundation models? - IBM Research
What makes these new systems foundation models is that they, as the name suggests, can be the foundation for many applications of the AI model Using self-supervised learning and transfer learning, the model can apply information it’s learnt about one situation to another
- Matthew Wilson - IBM Research
I've worked as a Software Engineer for over 15 years, across a broad range of technologies such as IBM Z, CICS, Event-driven architectures, OpenShift, Robotic Process Automation and Machine learning I joined IBM Research in 2023, focussing on Foundation Models for Accelerated Discovery My research interests include inference serving and fine-tuning stacks, explainable AI and learning methods
- Artificial Intelligence - IBM Research
AI for Code AI for Supply Chain AI Testing Automated AI Causality Computer Vision Conversational AI Explainable AI Fairness, Accountability, Transparency Foundation Models Generative AI Granite Human-Centered AI Knowledge and Reasoning Machine Learning Natural Language Processing Neuro-symbolic AI Speech Trustworthy AI Trustworthy Generation
- Quantum Machine Learning: An Interplay Between Quantum Computing and . . .
Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning It seeks to revolutionize machine learning by harnessing the unique capabilities of quantum mechanics and employs machine learning techniques to advance quantum computing research This paper presents an overview of quantum computing for the machine learning
- What is retrieval-augmented generation (RAG)? - IBM Research
RAG is an AI framework for retrieving facts to ground LLMs on the most accurate information and to give users insight into AI’s decision making process
- Terramind: the new generative AI model for Earth observation
The new foundation model from IBM and the ESA combines insights from nine types of Earth observation data to provide an intuitive understanding of our planet
- Data Quality in AI - IBM Research
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel et al 2021 arXiv Paper
- AIMEE - IBM Research
We are excited to present our tool AIMEE (AI Model Explorer and Editor tool), which provides interactive methods to learn rules, (transparent machine learning models) from historical data, allowing non-expert users to understand binary classification models and make changes in a simple, explainable way
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