AI & Computing Lab · Automat Labs

From models
to transistors.

AI moves fast, and it runs on hardware that moves just as fast. This lab follows both: what the new models can actually do for lab and engineering work, and the semiconductor technology — 2 nm nodes, new transistor architectures — that makes them possible.

01Topics

What the lab follows.

01

AI & machine learning advances

New models, methods and tooling — read critically, tested hands-on, and summarised for engineers who need to know what changed.

  • Language models & agents
  • Machine learning on sensor & time-series data
  • Evaluation over hype
02

AI in the lab & engineering

Where AI earns its place in real workflows: method development, data review, documentation, and automation software.

  • AI-assisted software & automation
  • Data analysis & anomaly detection
  • Regulated contexts (GMP)
03

The 2 nm frontier

How transistors keep shrinking: gate-all-around nanosheets replacing FinFETs, backside power delivery, and what comes after.

  • 2 nm-class nodes
  • GAA / nanosheet · CFET
  • Backside power delivery
04

imec & the research ecosystem

Following the public research and roadmaps from imec in Leuven and the wider semiconductor ecosystem — from lithography to new materials.

  • imec roadmap
  • High-NA EUV lithography
  • 2D materials · new interconnects

02Research log

Coming soon.

Notes, experiments and explainers — published here as the lab gets going.

Curious where AI fits your work?

Questions, ideas or a use case to explore — get in touch.