Ten young graduates just finished an intensive program to revolutionize fish farming in Nigeria, and the U.S. soybean industry is backing them in a big way. In a move to boost food security and create economic opportunities, a major American agriculture group is doubling down on its investment in Nigeria's youth. The American Soybean Association (ASA) celebrated the graduation of the first-ever class of its "Next Gen Leaders for Aquaculture Innovation Programme," where ten young Nigerians were trained for five months in modern fish farming with a special focus on using soybean-based feeds to grow healthier fish faster. But here's the big takeaway: This wasn't just a graduation ceremony. It was the launchpad for a much larger plan. The ASA officially signed a new three-year partnership with a Nigerian firm, SejFarms Consult Limited, to scale up the program and train many more young people. Why This Matters Nigeria has a huge demand for fish, but domestic production...
How can I tell if my cat is happy or sad?, is a question many cat owners like to ask.
Thankfully, there is a mobile application dedicated to helping you find answers that will give a clue to notoriously inscrutable cat moods, and tell if your cat is happy or not.
If your cat's mood has ever made you confused, it's time for us to have a little chat. Yes, you've probably have heard about an app called Tably — maybe from your friend or maybe online. If you've not heard about it, read on for all the details!
What Exactly Is Tably?
Tably is an app that uses a photo of a cat to determine its level of happiness based on facial expressions.
Formerly called Happy or Not, Tably was released by Sylvester.AI – a joint venture between Canadian artificial intelligence technology company Alta ML and The Bar G, a portfolio of companies involved in sectors ranging from sleep gadgets to ranching, to animal health.
How Does Tably Work?
The app picks up relevant points on a cats’ face, maps them out based on the Feline Grimace Scale (more on this later), and shoots out a reading – happy or not – along with a percentage. The percentage isn’t correlated to the level of happiness, but rather the level of confidence the machine has.
How Accurate Is Tably?
Tably was launched after the developers at AltaML discovered the Feline Grimace Scale (FGS), a scientifically-validated tool for assessing acute pain in cats based on changes in facial expression published in Scientific Reports in 2019.
Before Facial Grimace Face was discovered, cats were thought to be delphic creatures that did not give cues to signal if in pain. The truth is that these cues do exist – they’re just extremely subtle.
Paulo Steagall, lead author of the FGS publication and associate professor of veterinary anaesthesia and pain management at the University of Montreal said: “Depending on the cats’ muzzle, eyes, ears, whiskers, or head position, you can determine whether or not a cat is in pain.”
This discovery has given the team the idea to make an app that is accurate in fostering a healthier and happier lives for cats using machine learning.
According to the app’s senior product manager Michelle Priest, “With a high quality and full face front image of the cat, the accuracy is 97 per cent”.
Why Should You Use Tably?
According to AltaML’s vice president of product Chris O’Brien, “The big challenge with cats is that they don't express when they're in pain. They go and hide, whereas a dog will come in and whine and nuzzle you”.
So, if you find your cat in such a situation, you can use Tably to know why your cat is hiding. You can also use it to know how your cat is doing after having undergone a surgery.
Priest said: “It could be used to decide if you should take the cat to the vet or even an end-of-life decision. You might have had a cat for 18 years, but you don't want it to suffer. We also had this one guy say he wanted to find out why his cat was howling at night.”
When Will The Final Version Of Tably Be Rolled Out On Android And iOS?
The final version of Tably is out. You can download it here for iOS.
Tably has become part of a veterinarian's post-appointment follow-up process thanks to Alta ML and Sylvester.AI.
“It has kind of become its own entity. We’re starting with cats, although I think this idea could work with multiple species and grimace scales,” Priest says.
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