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Apple Maps launched a new parking feature that provides users with parking options and availability near a specific destination. In partnership with the digital parking reservation platform, SpotHero, Apple Maps users across the U.S. and Canada can now get parking information for over 8,000 locations.

To use the new feature, launched late last week, iPhone and Mac users can search for a destination in the Apple Maps app and then select “More” and “Parking.” They’re then directed to the SpotHero website without leaving Apple Maps. Users can search for nearby parking and reserve a space using SpotHero’s secure payment options, the parking platform claims.

SpotHero also allows users to filter their search by date and time as well as parking spots with EV charging, wheelchair accessibility, valet services and more.

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According to a report from Bloomberg’s Mark Gurman, Apple is going to spend most of 2023 focusing on a brand new device — a mixed-reality headset that has been a work in progress for several years.

The new device could look like a pair of ski goggles, based on an earlier report from The Information. It will feature several cameras so that the device can track your movements in real time and see what’s happening in the real world.

Over the past few years, Apple CEO Tim Cook has stated several times that augmented reality is a promising technology. “I think the [AR] promise is even greater in the future. So it’s a critically important part of Apple’s future,” Cook told Kara Swisher back in 2021.

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Microsoft has reportedly been looking at ways of integrating OpenAI’s GPT features into Word, Outlook, and PowerPoint.

Microsoft has been reportedly experimenting with building OpenAI’s language AI technology into its Word, PowerPoint, and Outlook apps. The Information.

Microsoft has reportedly been using OpenAI’s GPT technology to improve Outlook search results so users can find what they’re looking for without having to search using keywords in emails.

Microsoft also working on ChatGPT-like features for Bing.

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A research team using new methods to analyze data from NASA’s Curiosity, a rover operating on Mars since 2012, was able to independently verify that fracture halos contained opal, on Earth a gemstone formed by the alteration of silica by water.

The study finds that the vast subsurface fracture networks would have provided conditions that were potentially more habitable than those on the surface.

In 2012, NASA sent the Curiosity rover to Mars to explore Gale Crater, a large impact basin with a massive, layered mountain in the middle. As Curiosity has traversed along the Mars surface, researchers have discovered light-toned rocks surrounding fractures that criss-cross certain parts of the Martian landscape, sometimes extending out far into the horizon of rover imagery. Recent work finds that these widespread halo networks served as one of the last, if not the last, water-rich environments in a modern era of Gale Crater. This water-rich environment in the subsurface would have also provided more habitable conditions when conditions on the surface were likely much more harsh.

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Researchers at Princeton’s Department of Chemistry discovered the first known de novo protein that catalyzes, or drives, the synthesis of quantum dots.

Nature uses 20 canonical amino acids.

<div class=””> <div class=””><br />Amino acids are a set of organic compounds used to build proteins. There are about 500 naturally occurring known amino acids, though only 20 appear in the genetic code. Proteins consist of one or more chains of amino acids called polypeptides. The sequence of the amino acid chain causes the polypeptide to fold into a shape that is biologically active. The amino acid sequences of proteins are encoded in the genes. Nine proteinogenic amino acids are called “essential” for humans because they cannot be produced from other compounds by the human body and so must be taken in as food.<br /></div> </div>

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Over the past few decades, the performance of machine learning models on various real-world tasks has improved significantly. Training and implementing most of these models, however, still requires vast amounts of energy and computational power.

Engineers worldwide have thus been trying to develop alternative hardware solutions that can run artificial intelligence models more efficiently, as this could promote their widespread use and increase their sustainability. Some of these solutions are based on memristors, memory devices that can store information without consuming .

Researchers at Université Paris-Saclay-CNRS, Université Grenoble-Alpes-CEA-LETI, HawAI.tech, Sorbonne Université, and Aix-Marseille Université-CNRS have recently created a so-called Bayesian machine (i.e., an AI approach that performs computations based on Bayes’ theorem), using memristors. Their proposed system, introduced in a paper published in Nature Electronics, was found to be significantly more energy-efficient than currently employed hardware solutions.

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