Top

Research & Innovation

, ,

U of T CS faculty members receive Ontario Early Researcher Awards

, ,
U of T CS faculty members receive Ontario Early Researcher Awards

Computer science researchers are recipients of Ontario provincial funding for their artificial intelligence projects on reinforcement learning; computer systems; and deep learning tools for heart failure prediction. 

, ,

Initiative trains U of T students to integrate ethical considerations into tech design

, ,
Initiative trains U of T students to integrate ethical considerations into tech design

An award-winning team of University of Toronto computer scientists and philosophers is helping students think about the ethical implications of the technologies they will be developing.  

,

Compassion behind the keyboard: How a CS researcher is using AI and community feedback to tackle harmful social media content

,
Compassion behind the keyboard: How a CS researcher is using AI and community feedback to tackle harmful social media content

Ishtiaque Ahmed, an assistant professor of computer science, is a 2023-2024 recipient of a Connaught Community Partnership Research Program Award. His project will look at using AI to combat online hate aimed at Chinese and Muslim communities in Canada.  

,

Acceleration Consortium seed grants support new research into self-driving labs technology

,
Acceleration Consortium seed grants support new research into self-driving labs technology

Computer scientists Nandita Vijaykumar and Joseph Jay Williams are among 12 recipients of grants from the Acceleration Consortium. 

, ,

Reflecting on ‘Social Issues in Computing,’ 50 years later

, ,
Reflecting on ‘Social Issues in Computing,’ 50 years later

University Professor Allan Borodin reflects on the legacy of Social Issues in Computing, marking the 50th anniversary of the book he co-authored with the late Professor Emeritus C.C. “Kelly” Gotlieb.  

,

Tech research and innovation take centre stage at tenth annual ARIA showcase

,
Tech research and innovation take centre stage at tenth annual ARIA showcase

Hosted by the Department of Computer Science’s Master of Science in Applied Computing (MScAC) program, the tenth annual ARIA showcase highlighted technological innovations between academia and industry. 

U of T researchers leverage AI to decipher lung health from speech

U of T researchers leverage AI to decipher lung health from speech

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. 

U of T computer scientists develop video camera that acts as a ‘microscope for time’

U of T computer scientists develop video camera that acts as a ‘microscope for time’

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. 

Why is COVID-19 more severe in some people? Researchers use genetics, data science to find out

Why is COVID-19 more severe in some people? Researchers use genetics, data science to find out

With the help of U of T's Data Sciences Institute, researchers from the university and partner hospitals gathered more than 11,000 full genome sequences from across Canada to help us understand why some people react more severely to COVID-19.

CS researchers design ‘CLAIRify’ framework to improve chemistry robotics planning

CS researchers design ‘CLAIRify’ framework to improve chemistry robotics planning

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. 

Researchers find ‘unified foundation’ of word meaning in child language development and language evolution

Researchers find ‘unified foundation’ of word meaning in child language development and language evolution

New research, co-authored by Associate Professor Yang Xu, demonstrates that word meaning extension, observed in both children and the historical evolution of language, relies on a common cognitive foundation of knowledge and how things relate to each other.  

With digital messaging tools for mental health, context is key, U of T researchers find

With digital messaging tools for mental health, context is key, U of T researchers find

U of T computer scientists have identified key variables that influence users’ experiences with text messaging systems aimed at supporting psychological well-being.  

Interactive ‘Stargazer’ camera robot assists with how-to video creation

Interactive ‘Stargazer’ camera robot assists with how-to video creation

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. 

,

New research on training decision-making AI reveals insights into normative judgments

,
New research on training decision-making AI reveals insights into normative judgments

A new paper by MScAC alumna Aparna Balagopalan demonstrates why labelling data with normative prompts can yield better outcomes in machine learning models. Its co-authors include Assistant Professor, Status-Only Marzyeh Ghassemi and CS graduate student David Madras.  

,

Transforming education through AI-powered adaptive experiments: U of T computer scientists’ team wins XPRIZE Digital Learning Challenge

,
Transforming education through AI-powered adaptive experiments: U of T computer scientists’ team wins XPRIZE Digital Learning Challenge

The Adaptive Experimentation Accelerator, led by Assistant Professor Joseph Jay Williams, aims to design inclusive and personalized learning experiences. 

,

U of T receives $200-million grant to support Acceleration Consortium's ‘self-driving labs’ research

,
U of T receives $200-million grant to support Acceleration Consortium's ‘self-driving labs’ research

Led by Professor Alán Aspuru-Guzik, the consortium works to develop “self-driving labs” that combine artificial intelligence, robotics and advanced computing to discover new materials and molecules in a fraction of the usual time and cost.  

,

U of T computer scientists' MOOClet framework helps personalize and improve online learning experiences

,
U of T computer scientists' MOOClet framework helps personalize and improve online learning experiences

The Adaptive Experimentation Accelerator, which includes Assistant Professor Joseph Jay Williams and U of T CS students Ilya Musabirov, Mohi Reza, Pan Chen and Harsh Kumar, is one of three finalists for the XPRIZE Digital Learning Challenge. The team’s software architecture uses machine learning to design inclusive and personalized online classrooms.