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Want to know your death date? Ask Google AI: Google is training machines to predict death

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Want to know your death date? Ask Google AI: Google is training machines to predict death

There is very little Google doesn’t know. You can Google just about any piece of information under the sun these days. Including your death date? Yes, you heard it right.

Google is using its unparalleled Artificial Intelligence (A.I.) capabilities to expand into the medical field, giving the company even greater access to every aspect of our lives, according to Bloomberg.

The tech giant has partnered up with Stanford University to help test a new computer system to predict the time-of-death of hospital patients. Using artificial intelligence, the techy types say the accuracy of their program is as much as 95%.

It works by taking in personal data such as age and ethnicity which is then combined with hospital data like vital signs and any prior diagnoses.

Though the project is still in relatively early stages, Google’s Medical Brain—the divisions of the company that focuses on the medical field—is reportedly combining its predictive technology with machine learning to, among other things, predict the likelihood that someone who’s been hospitalized will die.

Google predicts death time of a woman with breast cancer

A patient with late-stage breast cancer came to a city hospital, fluids already flooding her lungs. The woman saw two doctors took a radiology scan. The hospital’s computers after reading her vital signs estimated a 9.3 per cent chance she would die during her stay.

So what did Google say about this particular woman? A new type of algorithm created by the company read up on the woman — 175,639 data points — and rendered its assessment of her death risk: 19.9 percent. She passed away in a matter of days.

The harrowing account of the unidentified woman’s death was published by Google in May in research highlighting the health-care potential of neural networks, a form of artificial intelligence (AI) software that’s particularly good at using data to automatically learn and improve.

Google’s ability to sift through data impressed medical experts

What impressed medical experts most was Google’s ability to sift through data previously out of reach: notes buried in PDFs or scribbled on old charts. And it did it far faster and more accurately than existing techniques and also showed which records led it to conclusions. As much as 80 percent of the time spent on today’s predictive models goes to the “scut work” of making the data presentable, said Nigam Shah, an associate professor at Stanford University, who co-authored Google’s research paper, published in the journal Nature. Google’s approach avoids this. “You can throw in the kitchen sink and not have to worry about it,” Shah said.Want to know your death date? Ask Google AI: Google is training machines to predict death

Google’s next step is moving the predictive system into clinics

Google’s next step is moving this predictive system into clinics, AI chief Jeff Dean told Bloomberg News in May. Dean’s health research unit — sometimes referred to as Medical Brain — is working on a slew of AI tools that can predict symptoms and disease with a level of accuracy that is being met with hope as well as alarm.

Inside the company, there’s a lot of excitement about the initiative. “They’ve finally found a new application for AI that has commercial promise,” one Googler says. Since Alphabet Inc.’s Google declared itself an “AI-first” company in 2016, much of its work in this area has gone to improve existing internet services. The advances coming from the Medical Brain team give Google the chance to break into a brand new market — something co-founders Larry Page and Sergey Brin have tried over and over again.

Software in health care is largely coded by hand these days. In contrast, Google’s approach, where machines learn to parse data on their own, “can just leapfrog everything else,” said Vik Bajaj, a former executive at Verily, an Alphabet health-care arm, and managing director of investment firm Foresite Capital. “They understand what problems are worth solving,” he said

Operation history of a patient predicted

Another Google researcher said existing models miss obvious medical events, including whether a patient had prior surgery. The person described existing hand-coded models as “an obvious, gigantic roadblock” in health care. The person asked not to be identified discussing work in progress.

Google is treading carefully when it comes to patient information, particularly as public scrutiny over data-collection rises. Few companies are better poised to analyze this organism than Google. The company and its Alphabet cousin, verily, are developing devices to track far more biological signals. Even if consumers don’t take up wearable health trackers en masse, Google has plenty of other data wells to tap. It knows the weather and traffic.

Dean, the AI boss, stresses this experimentation relies on serious medical counsel, not just curious software coders. Google is starting a new trial in India that uses its AI software to screen images of eyes for early signs of a condition called diabetic retinopathy. Before releasing it, Google had three retinal specialists furiously debate the early research results, Dean said.

Google could license these systems to clinics

Over time, Google could license these systems to clinics, or sell them through the company’s cloud-computing division as a sort of diagnostics-as-a-service. To commercialize an offering, Google would first need to get its hands on more records, which tend to vary widely across health providers. Google could buy them, but that may not sit as well with regulators or consumers. The deals with UCSF and the University of Chicago aren’t commercial.

For now, the company says it’s too early to settle on a business model. At Google’s annual developer conference in May, Lily Peng, a member of Medical Brain, walked through the team’s research outmatching humans in spotting heart disease risk. “Again,” she said. “I want to emphasize that this is really early on.”

According to Bloomberg, Google’s ambitions span many areas of the health-care field, including radiology, ophthalmology, and cardiology.

At Google’s developer conference this year, Lily Peng, a member of the Medical Brain team presented a project in which a Google algorithm accurately predicted peoples’ risk of heart disease. “I want to emphasize that this is really early on,” she said. But the company’s ambitions are clear.

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WhatsApp to introduce Native File Sharing feature similar to Apple’s AirDrop

Users can choose to be visible to others without disclosing their phone numbers to people who are not their contacts.

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A Meta-owned messaging platform, WhatsApp is all set to introduce a new feature that allows Android users to share files with another user nearby. According to reports, the feature will be developed similar to Apple’s AirDrop.

The file sharing feature nearby is not currently available for beta testers. However, according to a report from WhatsApp feature tracker WABetaInfo, it seems that the feature will soon be introduced. The report reveals a screenshot that shows an option within the app stating, to share files with people nearby, along with a list of nearby users.

It is interesting to note that users can choose to be visible to others without disclosing their phone numbers to people who are not their contacts. In order to share files with other users, one needs to wait for nearby users to accept their request. The process involves a unique interaction, where nearby users can shake their device to receive incoming share requests. It is important to note that this feature is designed with end-to-end encryption to ensure user privacy.

In the upcoming update, WhatsApp is expected to introduce a nearby file-sharing feature. However, the current beta version for Android, which is 2.24.2.20, has addressed a camera issue. Some Android beta testers have reported difficulties in launching the camera within the app after the 2.24.2.13 update. Upon launching, users were presented with an error message that said, can’t start camera, please restart your device. This issue persisted even after restarting the device or relaunching the app.

The latest beta update of WhatsApp, located at 2.24.2.20, has fixed the camera bug. This allows users to launch the camera within the app and share photos and videos with their contacts without any interruptions. As WhatsApp continues its efforts to improve its features and address bugs, users can expect a better messaging experience on the platform.

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Meesho mega blockbuster sale: E-commerce platform to offer 80 percent discount on electronics

The e-commerce platform’s first mega blockbuster sale will sell more than 400 brands directly with the help of authorised partners on its digital store called Meesho Mall.

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Meesho online shopping app

Ahead of the festive season, e-commerce platform Meesho’s mega blockbuster sale is starting on Friday, October 6, 2023. The platform will provide a massive discount of up to 80 percent on different categories such as essentials, accessories, electronics, footwear, etc.

The blockbuster sale is scheduled to conclude on October 13, 2023. Notably, the Softbank backed e-commerce platform is starting its festive sale a day before Flipkart or Amazon’s festive sale goes live.  The e-commerce platform’s first mega blockbuster sale will sell more than 400 brands directly with the help of authorised partners on its digital store called Meesho Mall.

Reportedly, the platform also added over 50 lakh new customers during these sales. More than 75 percent of the demand was received from Tier-II cities, including Amravati, Aurangabad, Dehradun, Nellore, Solapur, and Warangal. The platform further claimed that they have added more than 2 lakh sellers in the past two years.

Recently, Meesho affirmed that  they have received over 10 million (approx) from its pre-festive sales during Onam, Raksha Bandhan, and Ganesh Chaturthi. The platform has more than 14 lakh sellers, selling approx 12 crore products in 30 different categories. 

In an effort to increase the seller base, the company announced the onboarding of non-GST sellers on the platform earlier this week. The GST council announced to permit the e-commerce platform to onboard sellers with turnover of up to Rs 40 lakh.

Prior to Meesho’s Mega Blockbuster Sale, the company introduced a loyalty programme during which eligible users will earn Smart Coins, which the user can redeem every time they make the purchase of any products on the platform. 

As per Redseer, over 140 million shoppers are likely to make purchases during the festive season. This will enhance the Gross Merchandise Value (GMV) of the Indian e-commerce sector by 18 to 20 per cent and may touch Rs 90,000 crore as compared to Rs 76,000 crore last year.

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Phones & gadgets

Apple launches iPhone 15 series, India price, features, availability  

The iPhone 15 series will be available in India from September 22 but iPhone lovers can also pre-order, starting from September 15 onwards.

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Apple launched its most anticipated iPhone 15 series, including the iPhone 15, iPhone 15 Plus, iPhone 15 Pro and iPhone 15 Pro Max during the Wonderlust event globally on September 12 night.

The iPhone 15 series will be available in India from September 22 but iPhone lovers can also pre-order, starting from September 15 onwards.

People can buy a new iPhone 15 or upgrade it to the old one. There are five colours available for the people.  

According to reports, Apple has been manufacturing the iPhone 15 series in India and China. Apple has moved 7% of its iPhone production to India. Previously, India was not making the newest models. The Centre’s production-linked incentive (PLI) scheme for smartphones played a part in Apple moving its production to India.

The new iPhone 15 has been launched with the same starting price as its prototype, the iPhone 14. The 128GB variant is priced at Rs 79,900, while the 256GB variant costs Rs 89,900. For people who need more storage, the 512GB variant is available for Rs 1,09,900.

This latest iPhone series puffs a 6.1-inch display and comes in five different colours which are pink, yellow, green, blue, and black. While the design remains the same as the previous models, the iPhone 15 features a dynamic island notch instead of the usual notch, which was highly popular among the iPhone 14 Pro phones.

The camera part of the iPhone series has undergone significant upgrades, the new iPhone 15, with an enhanced 48-megapixel primary sensor replaces the 12-megapixel dual camera system which was available in the previous iPhone 14. This significant improvement promises better low-light photography and portrait shots.

The tech giant announced that the iPhone 15 has an all-day battery life, making it more convenient for users to go about their daily activities without worrying about their phone’s battery.

The iPhone 15 Pro models feature a lighter body and thinner bezels. The new AirPods Pro with USB-C charging case will support Lossless Audio with Apple Vision Pro.

Additionally, the iPhone 15 is powered by Apple’s A16 bionic processor, an upgrade from the A15 bionic chipset used in the previous iPhone 14 and iPhone 14 Plus models. The Pro models had the faster and better A16 chip, but now this feature is available in all iPhone 15 models.

The USB-C port on the standard iPhone 15 and iPhone 15 Plus remain limited to lightning speeds up to 480 Mbps. The iPhone 15 Pro and iPhone 15 Pro Max support USB 3 speeds up to 10 Gbps. People will need to buy a separate 1-meter Thunderbolt 4 Pro cable for Rs 5,724 or Rs 10,701 for the 1.8-meter cable to support faster speeds.

The dynamic island notch feature, which can adjust its size according to notifications, was widely discussed before the launch of the iPhone 15. This unique feature can now be available in all models of the phone.

Another important feature of the iPhone 15 is the shift to the USB Type C charging port. Apple has abandoned the lightning port in favour of the more commonly used USB Type C charging port. This means, there is no longer a need for a special iPhone charging cable to be carried around everywhere you go.

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