Kim Martineau

News

From silicon to hybrid cloud, Nick Fuller has charged towards the future of computing

Find and fix IT glitches before they crash the system 

Generative AI could offer a faster way to test theories of how the universe works

IBM Solution: IBM Cloud Pak for Watson AIOps

Hybrid Cloud

ESEC/FSE 2024

ASE 2024

Big Data 2024

AAAI 2025

AI for Asset Management

Foundation Models

Edge Computing

AI for Business Automation

AI for Code

Hybrid Cloud Platform

Automated AI

Scaling AI

Generative AI

AI for IT

Application Modernization

Semiconductors

Explainable AI

AI can help sift through the noise to identify significant patterns in the increasingly large pools of data generated by enterprises. We’re reimagining IT operations, using AI to automate core processes, better detection and diagnosis, preformance monitoring, and explainable action recommendations.

Modern computing architectures are revolutionizing the way business gets done. We’re working on tools to help businesses automate much of their daily processes, to save time and drive new insights through trusted, safe, and explainable AI systems.

Cyber attacks, from botnets to zero-day exploits, cost the world billions each year. We're working to build trusted systems that can proactively help organizations defend against attacks, by identifying bugs and vulnerabilities in code and systems, securing them, and preventing them from being exploited.

Security Analysis at Scale

Building trusted systems that can proactively help organizations defend against advanced cyber attacks.

To trust AI systems, explanations can go a long way. We’re creating tools to help debug AI, where systems can explain what they’re doing. This includes training highly optimized, directly interpretable models, as well as explanations of black-box models and visualizations of neural network information flows.

We’re creating tools to help AI systems explain why they made the decisions they did. 

Nick Fuller at IBM Research Thomas J. Watson Research Center.

AI for IT

Our work

Generative AI could offer a faster way to test theories of how the universe works

Find and fix IT glitches before they crash the system

From silicon to hybrid cloud, Nick Fuller has charged towards the future of computing

Publications

Data Wrangling task automation using Code-Generating Language Models

Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources

Bridging the Gap Between AI Planning and Reinforcement Learning

Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model

Ansible Lightspeed: A Code Generation Service for IT Automation

Leveraging Large Language Models for the Auto-remediation of Microservice Applications - An Experimental Study

IBM Solution: IBM Cloud Pak for Watson AIOps

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