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Samsung Galaxy Tab S6 Lite launch in India at Rs 27,999.



Smartphone maker Samsung has just launched its latest tablet, the Galaxy Tab S6 Lite in the Indian market. This launch comes days after the electronics giant first shared posts teasing the launch. The company has already revealed that the tablet is set to go on pre-order on June 8 at 2 PM. Interested buyers can head to Samsung India, Amazon India, and leading retail stores to pre-book the device before the launch. In addition, the company also shared some interesting pre-booking and launch offers for the Tab S6 Lite. Let’s check out the price, specifications, variants, color options, and more regarding the Samsung Galaxy Tab S6 Lite here.

As per the information shared at launch, the company has announced two variants of the Tab S6 Lite. The pre-order window starts of June 8 at 2 PM and will conclude on June 16. Buyers can buy the tablet in three different color options including Oxford Gray, Angora Blue, and Chiffon Pink. As previously mentioned, the company also shared details regarding an interesting pre-order offer. Inspecting the offer, buyers who pre-order the tablet can get Galaxy Buds+ for just Rs 2,999. Else, they can get a Galaxy Tab S6 Lite Book Cover for Rs 2,500. Samsung has priced the Wi-Fi variant of the tablet for Rs 27,999 and LTE variant for Rs 31,999.

Galaxy Tab S6 Lite will feature a 10.4-inch TFT panel with S Pen support. Beyond this, the tablet will also run on an Octa-core CPU with 4GB RAM and 64GB internal storage. Users can also expand the available storage with the help of a microSD card. The company has also added an 8-megapixel camera on the back and a 5-megapixel camera on the front for selfies. Other features include Wi-Fi, Bluetooth v5.0, Wi-Fi direct, 3.5mm audio socket, USB Type-C port, and GPS. The device will feature Android 10-based skin while running on a 7,040mAh battery.


New tool can diagnose stroke with a smartphone



A new tool created by researchers can diagnose a stroke based on abnormalities in the patient’s speech ability and muscular movements in the face, and with accuracy – all within minutes of interacting with a smartphone .

According to a study, researchers have developed a machine learning model to aid and possibly speed up the diagnostic process by physicians in a clinical setting.

“Currently, physicians must use their past training and experience to determine at what stage a patient should be sent for a CT scan,” said study author James Wang of Penn State University in the United States.

“We try to simulate or follow this process using our machine learning approach,” Wang added.


The team’s new approach analyzed the presence of stroke among actual emergency patients with a suspicion of stroke using computation of facial movement analysis and natural language processing to identify abnormalities in a patient’s face or voice, such as a drooping cheek or sloppy speech.

To train the computer model, the researchers built a dataset of more than 80 patients at Houston Methodist Hospital in Texas.

Each patient was asked to perform a speech test to analyze their speech and cognitive communication while it was being recorded on an Apple iPhone.

“Obtaining facial data in natural conditions makes our work robust and useful for clinical use in the real world, and ultimately empowers our method for remote diagnosis of stroke and self-assessment,” Huang said.

By testing the model on the Houston Methodist dataset, the researchers found that its performance achieved 79 percent accuracy – comparable to clinical diagnostics by emergency physicians, who use additional tests such as CT scans.

However, the model can help save valuable time diagnosing a stroke, with the ability to assess a patient within four minutes.


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