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AI-Powered App Can Tell You How Your Cat Is Feeling
The app can reach an accuracy of up to 97% when provided a high-quality and full-face front image of the cat.
Are you sometimes unsure whether your cat is tired or plotting your assassination? You’re not alone because cats don’t show their emotions too well.
That’s why scientists came up with something called the Feline Grimace Scale, a method of assessing the occurrence or severity of pain experienced by cats according to objective scoring of facial expressions. Now, an Alberta-based animal health technology company called Sylvester.ai has paired the Feline Grimace Scale with an artificial intelligence algorithm to create an app that can tell you how your cat is feeling.
The app is called Tably, and you can download it directly from the App Store. To use it, you simply need to point your smartphone’s camera at your furry friend and wait for a short while for the app to analyze a variety of facial features, including eye-narrowing, muzzle tension, and how whiskers change, to determine how your cat is feeling.

According to Michelle Priest, Tably senior product manager, the app can reach an accuracy of up to 97 percent when provided a high-quality and full-face front image of the cat. That’s good enough not only for concerned cat owners but also for young veterinarians, who may not have the experience necessary to tell whether a cat is feeling pain.
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The AI algorithm behind Tably was trained at the Wild Rose Cat Clinic of Calgary. “I love working with cats, have always grown up with cats,” said Dr. Liz Ruelle, DVM, DABVP Feline Specialist at the clinic. “For other colleagues, new grads, who maybe have not had quite so much experience, it can be very daunting to know — is your patient painful?”.
Tably is an excellent example of cutting-edge technology being used to positively impact the lives of those who don’t understand it themselves (although you never know with cats).
News
Dirham-Backed Stablecoin DDSC Enters Live Phase In UAE
Central Bank approval moves the dirham-backed token into deployment, targeting regulated payments and settlement flows.
The UAE has cleared the launch of DDSC, a dirham-backed stablecoin now entering live operation after approval from the Central Bank. The move pushes the project beyond its pilot phase and into the country’s regulated financial system.
The token is backed by a consortium led by IHC, Sirius International Holding and First Abu Dhabi Bank (FAB), framing it as an institutional instrument rather than a consumer crypto product. DDSC was first announced in April 2025, but regulatory clearance now allows deployment and integration across approved channels.
DDSC runs on ADI Chain, a Layer 2 blockchain built by the Abu Dhabi-based ADI Foundation. The infrastructure is designed for governance and performance requirements expected by large institutions, linking blockchain settlement with existing compliance and oversight frameworks.
The focus is practical, targeting treasury settlements, high-value payments, trade and supply-chain transactions, and programmable financial flows for regulated entities. FAB plans to offer access to the token through approved platforms for its clients, keeping the rollout inside controlled banking environments.
“DDSC marks a defining milestone in the UAE’s digital finance journey,” said Syed Basar Shueb, CEO of IHC. “With the Central Bank’s approval and our transition into live operation, we are delivering trusted, institutional-grade infrastructure that strengthens resilience, accelerates innovation, and expands what is possible in regulated digital payments”.
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FAB says the project reflects how stablecoins can sit within traditional finance when risk controls are built in from the outset. “This milestone underscores that stablecoins can be integrated responsibly into the financial system when built to meet rigorous regulatory and risk requirements,” said Futoon Hamdan AlMazrouei, Group Head of Personal, Business, Wealth and Privileged Client Banking Group at FAB.
The launch reinforces the UAE’s strategy of pushing digital finance through regulation instead of open-ended crypto experimentation. Stablecoins in this model are positioned less as trading assets and more as programmable extensions of national currency, aimed at institutional scale and government use cases.
