**Murat Erdogdu** and **David Lindell** have received Early Researcher Awards. (*supplied photos*)

Two University of Toronto computer scientists have received Early Researcher Awards from the Government of Ontario for their innovative work in sustainable AI and next-generation imaging systems.

Assistant Professors Murat Erdogdu and David Lindell have each been awarded funding in the latest round of the competitive program.

Here is a closer look at the awarded projects:

Murat Erdogdu
Assistant Professor, Department of Computer Science and Department of Statistical Sciences

Project Title: Training Neural Networks Efficiently with Scaling Laws and Simplicity Bias

It is imperative that we develop efficient methods to train large-scale AI systems that require less power and energy. This research aims to find patterns in data to optimize AI model training and ultimately reduce the computational cost and environmental impact of AI models. The project supports Canada’s growing investment in AI infrastructure by helping researchers build AI systems more efficiently.

David Lindell
Assistant Professor, Department of Computer Science

Project Title: Single-Photon Imaging with Large Generative Models

Next-generation imaging systems are being developed to operate in extreme conditions such as near-total darkness or at very high speeds. This research combines ultra-sensitive cameras that detect single particles of light with powerful AI models that can generate realistic images. The resulting systems could improve technologies ranging from smartphone photography to autonomous vehicles and environmental monitoring, leading to safer, smarter and more capable imaging tools across Ontario.