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CS alum Alex Lu is discovering new ways to apply deep learning in biology

CS alum Alex Lu is discovering new ways to apply deep learning in biology

CS alumnus Alex Lu works as a senior researcher on the Microsoft New England Research and Development team. His research focuses on using novel machine learning methods to generate hypotheses in biology.

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. 

Geoffrey Hinton fields questions from scholars, students during academic talk on responsible AI

Geoffrey Hinton fields questions from scholars, students during academic talk on responsible AI

Geoffrey Hinton, a University Professor Emeritus of computer science who has been dubbed the 鈥淕odfather of AI,鈥 delivers an academic talk about artificial intelligence in U of T鈥檚 Convocation Hall on Oct. 27, 2023

Geoffrey Hinton to give scholarly talk on whether AI will eclipse human intelligence

Geoffrey Hinton stands at a podium and looks off to the side.

Geoffrey Hinton will be giving an academic talk on artificial intelligence at Convocation Hall on Oct. 27. (Photo: Polina Teif)

After with his warnings about , will be engaging directly with researchers and scholars at a University of Toronto event. 

A U of T Emeritus in the 海角视频 of Computer Science who is often referred to as 鈥渢he godfather of AI,鈥 Hinton will tackle the question during an academic talk at Convocation Hall on Oct. 27. (Tickets to the in-person event are sold out, but a recording will be shared publicly at a later date). 

His lecture will be followed by a Q&A session co-ordinated by , a professor in the 海角视频 of Computer Science in the Faculty of Arts & Science who is a Canada CIFAR AI Chair and an associate director at U of T鈥檚 . 

The session will give Hinton an opportunity to directly engage with researchers and scholars from across the university regarding the revolutionary technology he helped create.  

鈥淎I is re-shaping the way we live, work and interact with each other,鈥 says McIlraith. 鈥淕iven the current public discourse about AI, it鈥檚 particularly important that scholars across disciplines learn from each other and engage in an informed exchange of views regarding the societal implications of this transformative technology.鈥 

U of T provides an ideal forum for such scholarly discourse, she adds, because of U of T鈥檚 , the 鈥渂readth and depth鈥 of expertise at the university and the city of Toronto鈥檚 position as of AI research and development. 

"The conversation around AI is no longer housed in the computer science lab or within the offices of Big Tech. It needs to be multidisciplinary to advance our collective understanding of the opportunities and the potential risks so we can work to avoid the risks while benefiting from all that AI has to offer.鈥  

The Schwartz Reisman Institute for Technology and Society and the department of computer science in the Faculty of Arts & Science are co-hosting Hinton鈥檚 talk in collaboration with the and the Cosmic Future Initiative at the Faculty of Arts & Science. 

鈥 Original story by Adina Bresge for

Humanity is at a 鈥榯urning point鈥 with AI, Geoffrey Hinton tells CBS News's 60 Minutes

University Professor Geoffrey Hinton speaks with 60 Minutes correspondent Scott Pelley about advanced artificial intelligence. (Image courtesy of 60 Minutes)

, often dubbed the 鈥済odfather of artificial intelligence,鈥 explained the potential benefits 鈥 and risks 鈥 of the technology he helped bring into existence on CBS News鈥檚 .

A Emeritus in U of T鈥檚 海角视频 of Computer Science, Hinton told correspondent Scott Pelley about his decision earlier this year to .

The cognitive psychologist and computer scientist, whose research contributions set the stage for the current acceleration of AI development, says he has no regrets because of the technology鈥檚 enormous potential benefits. But he warns that humanity is at a 鈥渢urning point鈥 in determining AI鈥檚 trajectory 鈥 and that the decisions we make today could have far-reaching consequences for the future.

鈥淚 think my main message is there's enormous uncertainty about what's (going to) happen next,鈥 Hinton told the newsmagazine program. 鈥淭hese things do understand. And because they understand, we need to think hard about what's going to happen next. And we just don't know.鈥

The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

In The Godfather in Conversation, Geoffrey Hinton explains why, after a lifetime spent developing a type of artificial intelligence known as deep learning, he is suddenly warning about existential threats to humanity. 

Since discovering machine learning and AI in first year, CS grad Varun Lodaya, has never looked back

Since discovering machine learning and AI in first year, CS grad Varun Lodaya, has never looked back

Graduating student Varun Lodaya reflects on studying computer science at the University of Toronto and how he found his calling in machine learning and artificial intelligence in his first year.

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鈥 team wins XPRIZE Digital Learning Challenge

Transforming education through AI-powered adaptive experiments: U of T computer scientists鈥 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.