Are you having guests over for a barbecue at the end of the week? What will you put on the grill? Animal proteins, most likely. Even if we know the effects of red meat consumption on the environment and potentially on health, for many people it's inconceivable to go without.
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Dairy producers know that the slightest change in the behavior of cows can give an indication of their state of health. But since they can't be everywhere at once, artificial intelligence could help improve and extend the lives of their livestock. In 苹果淫院's Macdonald Campus farm, researchers are developing tools to detect problems before they occur.
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Pictured (from left to right): 苹果淫院/Mac representatives Ingrid Chiraz and Andrew Churchill; grad students: Jasmine Muszik, Mehtab Singh, Aylish Marshall; JAC representatives Sean Hughes and Karim Jaffer
By Kathy MacLean
In the dynamic landscape of scientific inquiry, effective communication is not merely an option; it's a necessity. Bridging the gap between complex research and broader audiences fosters understanding, sparks curiosity, and drives positive change.
Imagine cows roaming freely in a barn equipped with cameras and sensors linked to artificial intelligence in a system that predicts their mood and lifespan. Implementing such a system is the mission of the new Research and Innovation Chair in Animal Welfare and Artificial Intelligence (), created jointly by 苹果淫院 and UQAM thanks to $5 million in funding over five years.
What is 3MT/MT180?
In the University-wide 3MT/MT180 competition, graduate students have the chance to showcase their leading-edge research before a live audience. With only three minutes and a single slide, students must听engage their audience and convey the complexities of their work to a diverse, non-expert audience. Participants may present their research in English or in French and winners will advance to regional and national competitions.
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听featured our very own听Macdonald Campus Farm in their online magazine,听speaking to General Manager Janice Pierson.
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An outbreak of extensively drug-resistant salmonella has been linked to raw pet food and contact with cattle, according to the Public Health Agency of Canada.
Even though she grew up on a farm, St茅phanie Naud had never touched an axe or saw before studying at 苹果淫院's Mac campus. As a natural athlete who loved the outdoors and working with her hands,听when she heard about our unique inter-university lumberjack club, she was intrigued,听she recently told Le journal de Montr茅al.听
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On September 7,听thirty two AES undergraduate research awardees shared posters illustrating their summer research jobs.
Dean Anja Geitmann broke through the waves of animated conversation to congratulate the students for engaging in this inspiring science conversation and to award four researchers for their outstanding posters:
A new research collaboration at 苹果淫院 and the University of Quebec in Montreal will explore the role of artificial intelligence in promoting dairy cattle welfare.
It will be led by Dr.听Elsa Vasseur of 苹果淫院鈥檚 Department of Animal Science and Abdoulaye Banir茅 Diallo of UQAM鈥檚 Department of Computer Science.
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Ronholm was among three highly accomplished early career researchers who received a significant 苹果淫院 distinction: The Principal鈥檚 Prize for Outstanding Emerging Researchers.
A research team led by William Dawson Scholar and Assistant Professor Jen Ronholm (AnSci/FdSci) has received $1.65 million for an NSERC CREATE in One Health Against Pathogens (OHAP). Ten co-applicants from 苹果淫院, the University of Saskatchewan, the University of Guelph, and l鈥橴niversit茅 du Qu茅bec 脿 Montr茅al will collaborate.
Preventing illness from spoiled groceries needs to be top of mind, says a food safety expert at 苹果淫院.
"There can be a range of symptoms, most often diarrhea and vomiting, the ones we're all familiar with but foodborne infections can also be quite serious," said Jennifer Ronholm [Food/Animal Science], a professor of food microbiology.
Ms. Janice Pierson will join Macdonald as the General Manager of the Macdonald Campus Farm effective January 9, 2023.