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Tesla navigation adds speed camera awareness and more in update

Tesla’s vehicles can now recognize speed cameras as of its latest update, along with several other navigation features that will reportedly be coming soon.

Code sleuth and Tesla update observer Greentheonly said on Sunday that Tesla software update 2023.27.12 has added the speed camera awareness feature along with other camera awareness capabilities. The update includes the Full Self-Driving (FSD) beta version 11.4.8.1, and it was first spotted in a Tesla vehicle on Saturday, according to Teslascope.

The software update also includes red light camera awareness, including those for fixed and mobile versions, and a combined awareness for red lights and speed cameras. Green also says that several other navigation features appear to be right around the corner, including U-turn control and an “avoid construction on route” setting, as found in internal code for Tesla’s maps system.

AI Can Recreate Images From Human Brain Waves With ‘Over 75% Accuracy’

Scientists were reportedly able to use artificial intelligence (AI) to reconstruct images solely from people’s brain activity with over 75% accuracy for the first time ever.

According to Japanese newspaper The Mainichi, recreating images from brain activity is usually only possible when a subject is actually seeing the images with their own eyes, or when the type of images, such as faces, letters or simple figures, were specified.

However, a team of researchers at the National Institutes for Quantum Science and Technology (QST) in Japan have now demonstrated that it’s possible to accurately reconstruct complex images with AI — based almost solely from a person’s thoughts.

AI experts are roasting the NYT list of ‘who’s who’ in AI for having zero women

The New York Times’ profile of “who’s who” in AI, published Sunday, has drawn criticism for featuring zero women.

The article gives credit to a list of twelve men — most of them are the leaders of AI companies and tech giants — for fuelling the rise of the modern AI movement.

“You could come up with no women ⁦@nytimes⁩? I have binders of them starting with @drfeifei,” wrote tech journalist Kara Swisher in an X post on Sunday, referring to Stanford professor Fei-Fei Li.

Zhurong rover detects mysterious polygons beneath the surface of Mars

China’s Zhurong rover was equipped with a ground-penetrating radar system, allowing it to peer beneath Mars’s surface. Researchers have announced new results from the scans of Zhurong’s landing site in Utopia Planitia, saying they identified irregular polygonal wedges located at a depth of about 35 meters all along the robot’s journey.

The objects measure from centimeters to tens of meters across. The scientists believe the buried polygons resulted from on Mars billions of years ago, but they could also be volcanic, from cooling lava flows.

The Zhurong rover landed on Mars on May 15, 2021, making China the second country ever to successfully land a rover on Mars. The cute rover, named after a Chinese god of fire, explored its , sent back pictures—including a selfie with its lander, taken by a remote camera—studied the topography of Mars, and conducted measurements with its ground penetrating radar (GPR) instrument.

‘Alexa, Titrate My Insulin’: AI App Boosts Glycemic Control in Randomized Trial

Beyond glycemic benefits, users of the app also reported significantly less-related emotional distress than standard care (−1.9 vs 1.7 points in composite survey scores, P =0.03).

“We are currently working on making technology like this accessible to patients outside of research settings because we think it can really help patients in underserved areas who need high-touch care to get their under control,” Nayak said.

The researchers developed their custom voice-based AI app and had it powered by Alexa (Amazon wasn’t involved with the study). The software was equipped with titration algorithms by the American Association of Clinical Endocrinologists and the American College of Endocrinology and included emergency protocols to handle hypoglycemia and hyperglycemia.

The Data Storage of Tomorrow — Scientists Make Supramolecular Breakthrough

In the era of big data and advanced artificial intelligence, traditional data storage methods are becoming inadequate. To address the need for high-capacity and energy-efficient storage solutions, the development of next-generation technologies is crucial.

Among these is resistive random-access memory (RRAM), which relies on altering resistance levels to store data. A recent study published in the journal Angewandte Chemie details the work of a research team who have pioneered a method for creating supramolecular memristors, one of the key components in the construction of nano-RRAM.

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