Estimating Sheep Pain with Facial Recognition
Data Skeptic14 Juli 2017

Estimating Sheep Pain with Facial Recognition

Animals can't tell us when they're experiencing pain, so we have to rely on other cues to help treat their discomfort. But it is often difficult to tell how much an animal is suffering. The sheep, for instance, is the most inscrutable of animals. However, scientists have figured out a way to understand sheep facial expressions using artificial intelligence.

On this week's episode, Dr. Marwa Mahmoud from the University of Cambridge joins us to discuss her recent study, "Estimating Sheep Pain Level Using Facial Action Unit Detection." Marwa and her colleague's at Cambridge's Computer Laboratory developed an automated system using machine learning algorithms to detect and assess when a sheep is in pain. We discuss some details of her work, how she became interested in studying sheep facial expression to measure pain, and her future goals for this project.

If you're able to be in Minneapolis, MN on August 23rd or 24th, consider attending Farcon. Get your tickets today via https://farcon2017.eventbrite.com.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

Auditing LLMs and Twitter

Auditing LLMs and Twitter

Our guests, Erwan Le Merrer and Gilles Tredan, are long-time collaborators in graph theory and distributed systems. They share their expertise on applying graph-based approaches to understanding both ...

29 Jan 202540min

Fraud Detection with Graphs

Fraud Detection with Graphs

In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based techniques for cybersecurity applications. We'll l...

22 Jan 202537min

Optimizing Supply Chains with GNN

Optimizing Supply Chains with GNN

Thibaut Vidal, a professor at Polytechnique Montreal, specializes in leveraging advanced algorithms and machine learning to optimize supply chain operations. In this episode, listeners will learn how ...

15 Jan 202538min

The Mystery Behind Large Graphs

The Mystery Behind Large Graphs

Our guest in this episode is David Tench, a Grace Hopper postdoctoral fellow at Lawrence Berkeley National Labs, who specializes in scalable graph algorithms and compression techniques to tackle massi...

10 Jan 202547min

Customizing a Graph Solution

Customizing a Graph Solution

In this episode, Dave Bechberger, principal Graph Architect at AWS and author of "Graph Databases in Action", brings deep insights into the field of graph databases and their applications. Together w...

16 Dec 202438min

Graph Transformations

Graph Transformations

In this episode, Adam Machowczyk, a PhD student at the University of Leicester, specializes in graph rewriting and its intersection with machine learning, particularly Graph Neural Networks. Adam expl...

9 Dec 202432min

Networks for AB Testing

Networks for AB Testing

In this episode, the data scientist Wentao Su shares his experience in AB testing on social media platforms like LinkedIn and TikTok. We talk about how network science can enhance AB testing by accoun...

25 Nov 202436min

Lessons from eGamer Networks

Lessons from eGamer Networks

Alex Bisberg, a PhD candidate at the University of Southern California, specializes in network science and game analytics, with a focus on understanding social and competitive success in multiplayer o...

18 Nov 202437min

Populärt inom Vetenskap

allt-du-velat-veta
dumma-manniskor
p3-dystopia
rss-ufobortom-rimligt-tvivel
ufo-sverige
kapitalet-en-podd-om-ekonomi
sexet
medicinvetarna
svd-nyhetsartiklar
rss-vetenskapsradion
hacka-livet
rss-vetenskapsradion-2
paranormalt-med-caroline-giertz
det-morka-psyket
ufo-sverige-2
rss-spraket
halsorevolutionen
rss-klotet
dumforklarat
ideer-som-forandrar-varlden