What is AI inferencing? - IBM Research Part of the Linux Foundation, PyTorch is a machine-learning framework that ties together software and hardware to let users run AI workloads in the hybrid cloud One of PyTorch’s key advantages is that it can run AI models on any hardware backend: GPUs, TPUs, IBM AIUs, and traditional CPUs
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
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
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
Federated Learning meets Homomorphic Encryption - IBM Research Quality machine learning models require quality training data that is sometimes difficult to acquire due to privacy or regulatory constraints Federated learning is a technology that solves this issue by allowing multiple parties to collaboratively train a single machine learning model without sharing any of their training data Federated learning not only improves model generalization, but
Building privacy-preserving federated learning to help fight financial . . . Applying machine learning and AI techniques like federated learning on shared data can provide a great deal of insight towards tracking the money trail of criminal activity of all sorts However, there are good reasons for financial organizations to be reluctant about openly sharing transaction data with one another
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
Topics - IBM Research At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead
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