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Category: mobile phones – Page 86

There’s a lot going on when it comes to Apple’s rumored mixed reality headset, which is expected to combine both AR and VR technologies into a single device. However, at the same time, the company has also been working on new AR glasses. According to Haitong Intl Tech Research analyst Jeff Pu, Apple’s AR glasses will be announced in late 2024.

In a note seen by 9to5Mac, Pu mentions that Luxshare will remain as one of Apple’s main suppliers for devices to come between late 2022 and 2024. Among all devices, the analyst highlights products such as Apple Watch Series 8, iPhone 14, and Apple’s AR/VR headset. But more than that, Pu believes that Apple plans to introduce new AR glasses in the second half of 2024.

At this point, details about Apple’s AR glasses are unknown. What we do know so far is that, unlike Apple’s AR/VR headset, the new AR glasses will be highly dependent on the iPhone due to design limitations. Analyst Ming-Chi Kuo said in 2019 that the rumored “Apple Glasses” will act more like a display for the iPhone, similar to the first generation Apple Watch.

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“I think it is possible,” Musk, 50, recently told Insider. “Yes, we could download the things that we believe make ourselves so unique. Now, of course, if you’re not in that body anymore, that is definitely going to be a difference, but as far as preserving our memories, our personality, I think we could do that.”

By Musk’s account, such technology will be a gradual evolution from today’s forms of computer memory. “Our memories are stored in our phones and computers with pictures and video,” he said. “Computers and phones amplify our ability to communicate, enabling us to do things that would have been considered magical … We’ve already amplified our human brains massively with computers.”

The concept of prolonging human life by downloading consciousnesses into synthetic bodies has been a fixture of science-fiction for decades, with the 1964 sci-fi novel “Dune” terming such beings as “cymeks.” Some experts today believe that “mind uploading” technology could, in fact, be feasible one day — but the timeline is incredibly unclear.

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Wood-derived materials can be used to harvest electrical energy from everyday movements such as walking, according to University of Toronto and University of Waterloo researchers.

In a new study recently published in Nano Energy, the team demonstrated the use of lignocellulosic nanofibrils—derived from —in a prototype self-powered device capable of sending a wireless signal to a smartphone via bluetooth.

Such devices can be used to track biometric data such as heart rate, oxygen levels or skin conductivity. The innovation could improve the performance of these devices while lowering their environmental impact.

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Cybersecurity researchers have taken the wraps off what they call a “nearly-impossible-to-detect” Linux malware that could be weaponized to backdoor infected systems.

Dubbed Symbiote by threat intelligence firms BlackBerry and Intezer, the stealthy malware is so named for its ability to conceal itself within running processes and network traffic and drain a victim’s resources like a parasite.

The operators behind Symbiote are believed to have commenced development on the malware in November 2021, with the threat actor predominantly using it to target the financial sector in Latin America, including banks like Banco do Brasil and Caixa, based on the domain names used.

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How Apple’s M2 chip builds on the M1 to take on Intel and AMD.

The M1 is a great chip. Essentially an “X” variant of the A14 chip, it takes the iPhone and iPad processor and doubles the high-performance CPU cores, GPU cores, and memory bandwidth. The M1 chip is so good it’s equally amazing for tablets and thin-and-light laptops as it is for desktops, easily outperforming any competing chip with similar power draw and offering similar performance to processors that use at least twice as much energy.

Now a year and a half later, and after delivering three more powerful variants of the M1 (M1 Pro, M1 Max, and M1 Ultra), it’s time for the next generation. Announced at WWDC and appearing first in the new MacBook Air and 13-inch MacBook Pro, the M2 is essentially the system-on-chip we predicted it would be: what the M1 is to the A14, the M2 is to the A15. It’s made of 20 billion transistors, 25 percent more than M1, and while it’s still built using a 5nm manufacturing process, it’s a new enhanced “second-generation” 5nm process.

Here are the most significant ways the M2 is improved over the M1.

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Artificial intelligence (AI) plays an important role in many systems, from predictive text to medical diagnoses. Inspired by the human brain, many AI systems are implemented based on artificial neural networks, where electrical equivalents of biological neurons are interconnected, trained with a set of known data, such as images, and then used to recognize or classify new data points.

In traditional neural networks used for , the image of the target object is first formed on an , such as the in a smart phone. Then, the image sensor converts light into , and ultimately into the , which can then be processed, analyzed, stored and classified using computer chips. Speeding up these abilities is key to improving any number of applications, such as face recognition, automatically detecting text in photos, or helping self-driving cars recognize obstacles.

While current, consumer-grade image classification technology on a digital chip can perform billions of computations per second, making it fast enough for most applications, more sophisticated image classification such as identifying moving objects, 3D object identification, or classification of microscopic cells in the body, are pushing the computational limits of even the most powerful technology. The current speed limit of these technologies is set by the clock-based schedule of computation steps in a computer processor, where computations occur one after another on a linear schedule.

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Quantum sensing is poised to revolutionize today’s sensors, significantly boosting the performance they can achieve. More precise, faster, and reliable measurements of physical quantities can have a transformative effect on every area of science and technology, including our daily lives. However, most of these schemes are based on special entangled or squeezed states of light or matter that are difficult to detect. It is a significantly challenging task to harness the full power of quantum-limited sensors and deploy them in real-world scenarios.

A team of physicists at the Universities of Bristol, Bath, and Warwick have found a way to operate mass manufacturable photonic sensors at the quantum limit. They have shown that it is possible to perform high-precision measurements of critical physical properties without the need for sophisticated quantum states of light and detection schemes.

Using ring resonators is a key to this breakthrough discovery. The ring resonators are tiny racetrack structures that guide light in a loop and maximize its interaction with the sample under study. Importantly, ring resonators can be mass-produced in the same way chips in computers and cell phones are.

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Phishing campaigns attributed to an advanced threat actor called SideWinder involved a fake VPN app for Android devices published on Google Play Store along with a custom tool that filters victims for better targeting.

SideWinder is an APT group that’s been active since at least 2012, believed to be an actor of Indian origin with a relatively high level of sophistication.

Security researchers at Kaspersky attributed close to 1,000 attacks to this group in the past two years. Among its primary targets are organizations in Pakistan, China, Nepal, and Afghanistan.

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