Lifeboat Foundation

Recently published an article on Deep Learning.

Examining the visual acuity of children who are younger than three years old is important for the early discovery of abnormal visual development, potential ophthalmic diseases, and neurological disease.

If the visual abnormal development is not diagnosed in time, later development will be affected, but performing visual examination in children is challenging due to their lack of understanding of instructions. Evaluating the visual acuity of children remains difficult since many children are unable to effectively express their understanding, especially with respect to directions (i.e., up, down, left and right). In addition, it is difficult for children to concentrate for a long time during the vision examination. The Teller visual acuity (TVA) card can be used to evaluate the visual acuity of children, but not all the operations are recorded and can be reviewed.

Continue reading “A human-in-the-loop deep learning paradigm for synergic visual evaluation in children | Article” »

Faced with mountains of image and audio data, researchers are turning to artificial intelligence to answer pressing ecological questions.

The sneaky, hungry invasives have been messing with reef ecosystems for decades—but Florida says, no more!

An AI assistant with empathy could be exactly what’s needed to provide emotional support for astronauts on deep-space missions to Mars.

NASA’s working with startups like Akin to develop human-like AI systems that could one day play a critical role in supporting astronauts in space.

What if a stranger could snap your picture on the sidewalk then use an app to quickly discover your name and address? A startup called Clearview AI has made that possible.

It may not be long before you’ll have to forget about walking down the street anonymously, says a New York Times report.

Apple has reportedly paid $200 million to acquire Seattle-based artificial intelligence company Xnor.ai, which specialises in edge-based AI.

The purchase is one of many for Apple, which has become adept at vacuuming up tech startups, but it also gives us a glimpse into the company’s thinking when it comes to future devices.

Xnor.ai’s work on hyper-efficient, low-power AI that doesn’t require powerful processing or a connection to the cloud (processing locally on-device instead), neatly slots into a few areas Apple is currently working on.

Anyone with a modicum of skill can create deepfake videos using artificial intelligence, but experts suggest that AI may also be the solution that allows rapid and accurate identification and detection.

By now, most of us have shared a few chuckles over AI-generated deepfake videos, like those in which the face of comedian and impressionist Bill Hader gradually takes on the likenesses of Tom Cruise, Seth Rogen, and Arnold Schwarzenegger as he imitates the celebrities. We’ve seen actor Ryan Reynolds’ mug superimposed over Gene Wilder’s in the 1971 classic film “Willy Wonka & the Chocolate Factory.” We’ve even marveled over businessman Elon Musk being turned into a baby.

Continue reading “Deepfake video: It takes AI to beat AI” »

Not sure how old this video is. But, Very impressive if it is able to grab random objects at these speeds; although i suspect it needed a lot of training before.

This handy #roboticarm can be trained to catch practically anything. 🤖 💪

Looking for a job in AI & Machine Learning. Follow us for more updates or visit: https://aijobs.com/

Continue reading “Not sure how old this video is” »

Claims of a relationship between AI and Neuroscience are more common than ever. They are often used to imply a higher chance of success for a technology. Are these claims true or just a hype?