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Quantum ‘compass’ technology aids in navigation without use of GPS satellites

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Scientists from Imperial College London and M Squared, a photonics and quantum technology company, have created a portable quantum accelerometer which enables location tracking without the aid of GPS satellites. As demonstrated at the National Quantum Technologies Showcase 2018 in London, the device utilizes ultra-cooled atoms and lasers to measure position with precision made possible by quantum mechanics. The system is currently designed to be used for navigating large vehicles such as ships and trains, but smaller-scale devices will be available as the technology develops.

Quantum accelerator in the lab. | Credit: Imperial College London

The reliance on global navigation satellite systems such as GPS has a few significant shortcomings that the quantum accelerometer would overcome. Satellite signals can be blocked or jammed, interfering with the systems that rely on the data being provided. Threats such as electromagnetic pulse (EMP) attacks on a massive scale, now closer to reality with nuclear capability developments around the world, would cripple any technology relying on satellite systems.

The financial burden of GPS failure is also a serious consideration driving the innovation behind this device. In M Squared’s press release announcement, it was estimated that each day without GPS services in the United Kingdom would cost the country 1 billion pounds. Since it’s a self-contained system not reliant on external signals, a quantum accelerometer would not be at risk for these types of security or financial fallouts.

A close up of the quantum accelerator. | Credit: Imperial College London

Even without the consideration of electronic attacks and satellite failures, a much smaller version of this technology could overcome day-to-day problems with regular GPS use. Anyone who has ever used a map application in a city environment has likely experienced blockages from the buildings disrupting satellite signals. A quantum accelerator would calculate its position based on its high precision velocity measurements rather than GPS information, thus eliminating never-ending “recalculating” type errors that current mapping devices are prone to receive.

General accelerometers are already found in common devices like cell phones and video game controllers. Overall, they function by calculating changes in the velocity of an object (phone, controller, etc.) and that data is used for whatever its intended purpose. For location-driven applications, however, the measured position loses accuracy without feedback from external sources such as GPS. For example, after a few street turns (or less), a mapping application would need to confer with a satellite to recalculate the new position of the car in motion. The high precision of a quantum accelerometer does not have this limitation, thus eliminating the need for a GPS signal.

When atoms are cooled to ultra-cold levels, their quantum behavior emerges and can then be measured by a laser beam acting as a ruler. The team behind the quantum accelerometer device had already been developing other commercial quantum technologies prior to the current one, so when the need for arose for measuring and cooling atoms, a solution was already in place via the team’s universal laser system developed for gravity measurements. This laser both cools and measures the atoms involved in the accelerometer’s device’s movement calculations.

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This quantum device is representative of the transition of quantum mechanics from the science laboratory to real-world applications. Besides navigational solutions, Professor Ed Hinds, Director of the Centre for Cold Matter at Imperial College London, described gravity measurements, mapping gravitational forces to look for minerals, and looking inside vehicles to diagnose problems as a few suggestions for other applications. “[The potential applications] …all come from the fantastic sensitivity and reliability that you can only get from these quantum systems.”

Watch the video below to see the quantum team tell more about the device.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Ford is charging for a basic EV feature on the Mustang Mach-E

When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.

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Credit: Ford Motor Company

Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.

Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.

However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.

The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.

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Ford is charging $495 for the frunk.

Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.

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When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.

Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking

It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.

It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.

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Tesla to improve one of its best features, coding shows

According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.

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Credit: @jojje167 on X

Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.

The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.

Here’s what they look like in action:

As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.

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There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:

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According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.

Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.

Tesla’s revolutionary Matrix headlights are coming to the U.S.

This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.

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xAI’s Grok approved for Pentagon classified systems: report

Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations. 

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Credit: xAI

Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.

Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.

Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations. 

The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.

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Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards. 

Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD. 

Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible. 

The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.

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