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Teen Develops New App That May Help Alzheimer's Patients Recognize Family

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A progressively worsening form of dementia, Alzheimer’s disease is best known for the way it affects memory. As the condition interferes with nerve cells in the brain, it can become increasingly difficult for patients to recognize close friends and family.

Researchers are committed to finding a cure—more than 90 percent of what we know about Alzheimer’s was discovered in the past 20 years alone, according to the Alzheimer's Association—but those affected and their loved ones are hoping to find faster solutions in other venues. Fourteen-year-old Emma Yang put her programming skills to work creating an app that may one day help her grandmother, who was diagnosed with the disease, remember her loved ones.

According to Fast Company, Yang coded an app called Timeless, which uses facial recognition to inform users about who a person is and what their relationship is to the patient. If a user doesn’t recognize someone, he or she can snap a photo and Timeless will try to fetch details. With repetitive scrolling and browsing of photos, it’s possible patients will be better able to retain information about that individual.

Timeless also brings up appointment reminders and can notify users when they might be performing a task repetitively. If a user calls a friend after failing to remember the first call, for example, Timeless will put up a notification that it’s the second call made in a short period of time.

Yang is hoping that an Indiegogo campaign will be able to raise enough funds for further development and a formal study on the app’s efficacy.

[h/t Fast Company]

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AI Could Help Scientists Detect Earthquakes More Effectively
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Thanks in part to the rise of hydraulic fracturing, or fracking, earthquakes are becoming more frequent in the U.S. Even though it doesn't fall on a fault line, Oklahoma, where gas and oil drilling activity doubled between 2010 and 2013, is now a major earthquake hot spot. As our landscape shifts (literally), our earthquake-detecting technology must evolve to keep up with it. Now, a team of researchers is changing the game with a new system that uses AI to identify seismic activity, Futurism reports.

The team, led by deep learning researcher Thibaut Perol, published the study detailing their new neural network in the journal Science Advances. Dubbed ConvNetQuake, it uses an algorithm to analyze the measurements of ground movements, a.k.a. seismograms, and determines which are small earthquakes and which are just noise. Seismic noise describes the vibrations that are almost constantly running through the ground, either due to wind, traffic, or other activity at surface level. It's sometimes hard to tell the difference between noise and legitimate quakes, which is why most detection methods focus on medium and large earthquakes instead of smaller ones.

But better understanding natural and manmade earthquakes means studying them at every level. With ConvNetQuake, that could soon become a reality. After testing the system in Oklahoma, the team reports it detected 17 times more earthquakes than what was recorded by the Oklahoma Geological Survey earthquake catalog.

That level of performance is more than just good news for seismologists studying quakes caused by humans. The technology could be built into current earthquake detection methods set up to alert the public to dangerous disasters. California alone is home to 400 seismic stations waiting for "The Big One." On a smaller scale, there's an app that uses a smartphone's accelerometers to detect tremors and alert the user directly. If earthquake detection methods could sense big earthquakes right as they were beginning using AI, that could afford people more potentially life-saving moments to prepare.

[h/t Futurism]

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A New iPhone Bug Is Crashing Messaging Apps
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Apple users who just got over the last round of obnoxious iOS glitches now have a new bug to worry about. As The Verge reports, receiving a text to your iPhone that contains one specific character can crash and disable your apps.

All phones running on iOS 11 could be vulnerable to the issue. To trigger the bug, all someone has to do is send you a message that has a certain character in the Indian language Telugu. The character will crash iMessage and possibly crash the entire iOS Springboard (the app that manages the iPhone home screen).

The same problem apparently occurs whether the character is received on third party messaging and email apps like Gmail, WhatsApp, Outlook, and Facebook Messenger. The character disables whatever app you're using, and the only way to fix the bug is to get back into the app and delete the message it came in. Of course, this becomes a problem when the app crashes every time you try to open it. One way around this is to ask a friend to send a new message to the effected app so you can access it by way of the notification.

This isn’t the first time iOS 11 has had trouble processing characters in messaging apps. In late 2017, many users found themselves unable to type the capital letter “I”, but instead of crashing the entire app the operating system replaced the text with the character “[?]”.

The glitch hasn’t been showing up in iOS 11.3, which Apple plans to release to the public this spring. Until that new update rolls out, tell your friends to refrain from sending you messages with the character below.

[h/t The Verge]

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