The AI algorithm helps researchers visualize ultrafast videos from any viewpoint, allowing for the study of how light propagates from multiple perspectives.
How can we improve the alignment of Al systems with human values? CS PhD candidate Silviu Pitis seeks to address this challenge with the support of an OpenAl Superalignment Fast Grant.
Recent PhD graduate Evi Micha is recognized with a 2024 CAIAC award for her thesis that looks at designing decision-making algorithms that treat people fairly, use limited resources efficiently and foster social good.
A startup co-founded and led by Associate Professor Gennady Pekhimenko helps companies optimize the performance and cost-efficiency of machine learning models.
The Dynamic Graphics Project lab hosted high school students for a weeklong immersion into graduate school life in one of the world’s top computer graphics and human-computer interaction labs.
A team of U of T computer scientists led by PhD student Sejal Bhalla has designed software that uses deep learning algorithms to decipher changes in vocal characteristics that indicate the lung condition of patients with chronic obstructive pulmonary disease.
Computational imaging researchers have developed a novel technique that allows video from highly dynamic scenes to be recorded once and then slowed down and sped up by a factor of billions.
Computer scientists, led by PhD students Marta Skreta and Naruki Yoshikawa, have developed a framework called CLAIRify that converts natural language inputs into a domain-specific language that chemistry robots can understand and follow.
U of T computer scientists have identified key variables that influence users’ experiences with text messaging systems aimed at supporting psychological well-being.
A team of U of T computer scientists explores how an interactive camera robot can assist in creating dynamic tutorial videos based on subtle verbal and non-verbal instructor cues.
The Adaptive Experimentation Accelerator, led by Assistant Professor Joseph Jay Williams, aims to design inclusive and personalized learning experiences.
New research led by PhD student Majeed Kazemitabaar reveals AI code generators show promise in making programming more accessible for novice programmers learning to code.
A group of researchers including computer science PhD candidate Robin Swanson has built and installed new telescope equipment and developed machine learning algorithms to help unlock the full potential of large observatories.
