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Laois winners in the BT Young Scientist Exhibition 2021 includes a second time success

Laois winners in the BT Young Scientist Exhibition 2021 includes a second time success Reporter: news@leinsterexpress.ie Evan Hogg from Heywood Community School winning at the 2020 BT Young Scientist Exhibition - he won again in in 2021. );   ); Laois students were recognised and commended at the BT Young Scientist & Technology Exhibition 2021 Awards Ceremony and for one of them, it marked the second year in a row he has savoured success. A total of three awards were presented to Laois students for their impressive projects entered in this year’s virtual exhibition. In the Social and Behavioural Senior Individual section second place went to Heywood Community School student Evan Hogg. His project was called: The regulations at play behind your physical activity: A statistical analysis into how we can use SDT to better motivate the nation to participate in physical activity . Evan also own in 2020.

This 17-year-old student has won this year s BT Young Scientists top award

This 17-year-old student has won this year s BT Young Scientists top award Gregory Tarr won for his project entitled “Towards detecting state-of-the-art deepfakes”. By Hayley Halpin Friday 8 Jan 2021, 2:26 PM Jan 8th 2021, 2:26 PM 36,282 Views 25 Comments Gregory Tarr Gregory Tarr THE WINNERS OF this year’s BT Young Scientist & Technology Exhibition have been announced. Gregory Tarr, aged 17, a sixth year student from Bandon Grammar School in Co Cork has won the top prize for his project entitled “Towards detecting state-of-the-art deepfakes”. Deepfakes are videos or images in which a person’s face or body has been digitally altered so that they appear to be someone else. They are often used to spread false information.

Cork student wins BT Young Scientist award for deepfake busting AI programme

Share this article County Cork Leaving Cert student Greg Tarr has won this year’s BT Young Scientist & Technology Exhibition. The 17-year-old from Bandon Grammar School was honoured for programming an artificial intelligence computer programme that quickly and accurately detects ‘deepfake’ videos. The software for the project, entitled Detecting state-of-the-art deepfakes, includes over 150,000 lines of code, with judges finding that it was significantly faster and more efficient than the current models on offer - with no sacrifice on its ability to accurately detect the fake. Deepfakes are images and videos that have been convincingly altered to replace one person’s likeness with another’s.

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