NSA says warrantless searches of Americans’ data rose in 2018
3 by 0xmohit | 0 comments on Hacker News.
Tuesday, 30 April 2019
Samsung to bring three Galaxy A series phones to the US
Although they share many things in common such as large Super AMOLED displays and massive batteries, the Galaxy A20, A50 and A70 are quite different in the grand scheme of things.
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These popular Fitbit devices can be your perfect Mother's Day gift at a nice discount
The Fitbit Charge 3 activity tracker, as well as the Fitbit Versa and Ionic smartwatches, are on sale ahead of Mother's Day at small but important discounts for bargain hunters.
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New top story on Hacker News: Launch HN: Centaur Labs (YC W19) – Labeling Medical Images at Scale
Launch HN: Centaur Labs (YC W19) – Labeling Medical Images at Scale
2 by erikduhaime | 0 comments on Hacker News.
Hello HN! We are Erik, Zach, and Tom, the founders of Centaur Labs ( https://centaurlabs.io ). We’ve built a platform where doctors, other medical professionals, and med students label medical images, improving datasets for AI. The idea grew out of Erik’s research when he was a PhD student at MIT’s Center for Collective Intelligence. In short, he found that by aggregating the opinions of multiple people--even including some people with little or no medical expertise--they could reliably distinguish cancerous moles from benign ones better than individual dermatologists. The three of us have been friends since we were undergrads. When we would chat about Erik’s research, it seemed like a no-brainer that there’d be demand for more accurate diagnoses. We all had our frustrations that as patients, you usually have to trust one doctor’s opinion. So we built a mobile app called DiagnosUs where users around the world analyze medical images and videos. Many are doctors who simply enjoy looking at cases or want to improve their skills. Other users like competing with their peers, seeing themselves on our leader boards, and winning cash prizes in our competitions. Different people (and algorithms) have different skills. Using data on how our users perform on cases with “gold standard” answers, we train a machine-learning model to identify how differently-skilled people complement each other and cover each other’s blind spots. The more we learn about our users’ skills and expertise, the better we get at aggregating their opinions. It is a bit like putting together the optimal trivia team: you don’t just need the five best people, you need someone who is good at pop culture, someone who knows sports, etc. Experts trained in the same way often have the same blind spots, so outcomes improve when you include a range of opinions. We initially thought we’d go straight to providing opinions on demand for consumers like ourselves. There aren’t nearly enough doctors to meet the demand around the world to have everyone’s medical images analyzed. But it didn’t take long to realize that our fledgling startup wasn’t yet prepared to deal with the regulatory issues that would entail. Meanwhile, we’d been hearing for years that AI was on the verge of replacing radiology, but it seemed like the hype didn’t match the reality. Many companies trying to develop medical AI are impeded by bad data. They try to hire doctors to go through thousands or millions of images and re-label them, but this has proven hard for them to manage and scale. Our customers have giant medical datasets and want to use them to train AI. But the quality of the data holds them back, and they can’t find nearly enough doctors to label the data accurately. Our platform provides a high volume of labels quickly, and our performance analytics enables us to get highly accurate labels from groups of people with a range of skills. We’d love to hear from anyone working on medical AI who’s faced the challenge of dealing with flawed datasets. If you’re interested in trying our app, you can download DiagnosUs for iOS in the App Store. Thanks for reading!
2 by erikduhaime | 0 comments on Hacker News.
Hello HN! We are Erik, Zach, and Tom, the founders of Centaur Labs ( https://centaurlabs.io ). We’ve built a platform where doctors, other medical professionals, and med students label medical images, improving datasets for AI. The idea grew out of Erik’s research when he was a PhD student at MIT’s Center for Collective Intelligence. In short, he found that by aggregating the opinions of multiple people--even including some people with little or no medical expertise--they could reliably distinguish cancerous moles from benign ones better than individual dermatologists. The three of us have been friends since we were undergrads. When we would chat about Erik’s research, it seemed like a no-brainer that there’d be demand for more accurate diagnoses. We all had our frustrations that as patients, you usually have to trust one doctor’s opinion. So we built a mobile app called DiagnosUs where users around the world analyze medical images and videos. Many are doctors who simply enjoy looking at cases or want to improve their skills. Other users like competing with their peers, seeing themselves on our leader boards, and winning cash prizes in our competitions. Different people (and algorithms) have different skills. Using data on how our users perform on cases with “gold standard” answers, we train a machine-learning model to identify how differently-skilled people complement each other and cover each other’s blind spots. The more we learn about our users’ skills and expertise, the better we get at aggregating their opinions. It is a bit like putting together the optimal trivia team: you don’t just need the five best people, you need someone who is good at pop culture, someone who knows sports, etc. Experts trained in the same way often have the same blind spots, so outcomes improve when you include a range of opinions. We initially thought we’d go straight to providing opinions on demand for consumers like ourselves. There aren’t nearly enough doctors to meet the demand around the world to have everyone’s medical images analyzed. But it didn’t take long to realize that our fledgling startup wasn’t yet prepared to deal with the regulatory issues that would entail. Meanwhile, we’d been hearing for years that AI was on the verge of replacing radiology, but it seemed like the hype didn’t match the reality. Many companies trying to develop medical AI are impeded by bad data. They try to hire doctors to go through thousands or millions of images and re-label them, but this has proven hard for them to manage and scale. Our customers have giant medical datasets and want to use them to train AI. But the quality of the data holds them back, and they can’t find nearly enough doctors to label the data accurately. Our platform provides a high volume of labels quickly, and our performance analytics enables us to get highly accurate labels from groups of people with a range of skills. We’d love to hear from anyone working on medical AI who’s faced the challenge of dealing with flawed datasets. If you’re interested in trying our app, you can download DiagnosUs for iOS in the App Store. Thanks for reading!
The Nokia 4.2 is now available to pre-order in the US for $189
The Nokia 4.2 is now available to pre-order in the Amazon for $189. The smartphone can be purchased online through Amazon or Best Buy and will ship on May 14. In-store purchases at Best Buy will be available starting June 9.
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Facebook Messenger is getting end-to-end encryption and a desktop app
Facebook Messenger is getting a number of long- and oft-requested features, including end-to-end encryption!
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All three 2019 Apple iPhone models appear in video
A new video shows 3D printed mockups of all three 2019 Apple iPhone models based on leaked schematics. The two OLED models sport a triple camera setup while the LCD unit carries a dual camera setup.
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New top story on Hacker News: Cloudflare now sells domains at a wholesale price
Cloudflare now sells domains at a wholesale price
5 by jaequery | 2 comments on Hacker News.
"Cloudflare Registrar offers wholesale pricing for all TLDs - you pay what we pay. You won't find better value." Cloudflare seems positioned to take over the web. No doubt cloud hosting is next in line.
5 by jaequery | 2 comments on Hacker News.
"Cloudflare Registrar offers wholesale pricing for all TLDs - you pay what we pay. You won't find better value." Cloudflare seems positioned to take over the web. No doubt cloud hosting is next in line.
Apple's Face ID supplier expects Android orders to grow later this year
The supplier of Apple's Face ID sensors, AMS, expects the number of orders from Android manufacturers to increase during the second half of 2019. This, combined with improved demand for iPhones, will result in improved financials for the company.Photos:
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New top story on Hacker News: How science journalism is broken and how can we all fix it
How science journalism is broken and how can we all fix it
7 by PierredeFermat | 0 comments on Hacker News.
7 by PierredeFermat | 0 comments on Hacker News.
Motorola Moto G7 Power is headed to Verizon, fantastic battery life in tow
A Verizon-branded Motorola Moto G7 Power is about to be released soon, although you can already use the unlocked G7 Power on Verizon.Photos:
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OnePlus 7 rumor review: price, release date, and new features
We round up all the rumors about the OnePlus 7 here: what new features are expected, what's the anticipated price, release date, specs and more...Photos:
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