Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Career Opportunity
Research Intern – AI Network Observability
As a Research Intern in the Strategic Planning and Architecture (SPARC) group, you will contribute to the research, design, and development of tools to provide insights into multi-path network transports for large-scale Artificial Intelligence (AI)…
Career Opportunity
Research Intern – AI Frameworks (Network Systems and Tools)
Advances in Artificial Intelligence (AI) increasingly depend on breakthroughs in systems and architecture, where hardware, models, and software must be co-designed to scale efficiently. This Research Internship offers the opportunity to explore next-generation AI systems…
Tool
RadEdit model
RadEdit is a latent diffusion model trained to generate and edit chest X-rays from medical reports. It is described in detail in RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing (F. Pérez-García, S. Bond-Taylor, et…
Project
Advancing Reasoning Capabilities in Agentic AI Systems
This project aims to push the boundaries of agentic AI by addressing three critical challenges: long-horizon memory, safe and aligned tool usage, and adaptive reasoning. Current language models excel at text generation but lack agency—the…
Project
Towards Autonomous and Reliable Supply Chains
This project explores how Generative AI can transform supply chain management from rule-based automation to true autonomy. Building on the MIT autonomous supply chain testbed, it integrates multiple AI agents that learn, adapt, and coordinate…
Project
Physics-Guided Vision-Language World Models for Agentic 4D Scene Understanding
This project develops a unified framework for physically grounded world modelling that combines video-based temporal prediction with Gaussian Splatting for photorealistic 3D representation. A Physics Vision-Language Model translates natural-language instructions into transformations that respect physical…
Project
AgentGuard: Early-Warning and Routing for Predictable AgenticAI on Azure
This project introduces AgentGuard, a monitoring and routing system designed to improve reliability and cost-efficiency in Azure-based agent workflows. By analysing early trajectory signals—such as reasoning patterns and tool usage—within the first 10–30% of an…