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Magnetic tunnel junctions mimic synapse behavior for energy-efficient neuromorphic computing

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Magnetic tunnel junctions mimic synapse behavior for energy-efficient neuromorphic computing


Proposal of a spintronic chip for efficient neuromorphic computing. Credit: Communications Physics (2025). DOI: 10.1038/s42005-025-02257-0

The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.

As the size of AI models is constantly increasing and they are having to process huge amounts of data, the need for new computing architectures is rising. In addition to quantum computers, focus is shifting, in particular, to neuromorphic concepts. These systems are based on the way the works.

This is where the research of a team led by Dr. Tahereh Sadat Parvini and Prof. Dr. Markus Münzenberg from the University of Greifswald and colleagues from Portugal, Denmark and Germany began. They have found an innovative way to make computers of tomorrow significantly more energy-efficient. Their research centers around so-called magnetic tunnel junctions (MTJs), tiny components on the nanometer scale.

“These components not only store information, they can even process it, just like nerve cells. This makes them ideal for novel computing concepts that are based on the way the brain works, what we call ‘neuromorphic computing,'” explains Dr. Tahereh Sadat Parvini, postdoc at the University of Greifswald and co-author of the paper that was recently published in Communications Physics.

The research team developed a hybrid opto-electrical excitation scheme that combines electrical currents with short laser pulses. This made it possible to generate particularly high thermoelectric voltages in the MTJs—an important prerequisite for the targeted simulation of synapse behavior.

The were able to identify three particularly remarkable properties: First, the generated voltage can be adjusted flexibly depending on the electrical current, similar to the weight of a synapse in the brain. Second, spontaneous “spike” signals occurred, which are similar to the way information is exchanged between nerve cells. Third, in , a simple neuromorphic network based on this technology already achieved a recognition accuracy of 93.7% for digits that had been written by hand.

“Our results show that MTJs with optical-electrical control represent a compact and energy-saving platform for the next generation of computing,” summarizes Prof. Dr. Markus Münzenberg. “As the technology is compatible with today’s semiconductor technology, we believe that in the future, it could be used in everyday devices as well as high-performance computers.”

More information:
Felix Oberbauer et al, Magnetic tunnel junctions driven by hybrid optical-electrical signals as a flexible neuromorphic computing platform, Communications Physics (2025). DOI: 10.1038/s42005-025-02257-0

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Magnetic tunnel junctions mimic synapse behavior for energy-efficient neuromorphic computing (2025, September 18)
retrieved 18 September 2025
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ICE and CBP’s Face-Recognition App Can’t Actually Verify Who People Are

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ICE and CBP’s Face-Recognition App Can’t Actually Verify Who People Are


The face-recognition app Mobile Fortify, now used by United States immigration agents in towns and cities across the US, is not designed to reliably identify people in the streets and was deployed without the scrutiny that has historically governed the rollout of technologies that impact people’s privacy, according to records reviewed by WIRED.

The Department of Homeland Security launched Mobile Fortify in the spring of 2025 to “determine or verify” the identities of individuals stopped or detained by DHS officers during federal operations, records show. DHS explicitly linked the rollout to an executive order, signed by President Donald Trump on his first day in office, which called for a “total and efficient” crackdown on undocumented immigrants through the use of expedited removals, expanded detention, and funding pressure on states, among other tactics.

Despite DHS repeatedly framing Mobile Fortify as a tool for identifying people through facial recognition, however, the app does not actually “verify” the identities of people stopped by federal immigration agents—a well-known limitation of the technology and a function of how Mobile Fortify is designed and used.

“Every manufacturer of this technology, every police department with a policy makes very clear that face recognition technology is not capable of providing a positive identification, that it makes mistakes, and that it’s only for generating leads,” says Nathan Wessler, deputy director of the American Civil Liberties Union’s Speech, Privacy, and Technology Project.

Records reviewed by WIRED also show that DHS’s hasty approval of Fortify last May was enabled by dismantling centralized privacy reviews and quietly removing department-wide limits on facial recognition—changes overseen by a former Heritage Foundation lawyer and Project 2025 contributor, who now serves in a senior DHS privacy role.

DHS—which has declined to detail the methods and tools that agents are using, despite repeated calls from oversight officials and nonprofit privacy watchdogs—has used Mobile Fortify to scan the faces not only of “targeted individuals,” but also people later confirmed to be US citizens and others who were observing or protesting enforcement activity.

Reporting has documented federal agents telling citizens they were being recorded with facial recognition and that their faces would be added to a database without consent. Other accounts describe agents treating accent, perceived ethnicity, or skin color as a basis to escalate encounters—then using face scanning as the next step once a stop is underway. Together, the cases illustrate a broader shift in DHS enforcement toward low-level street encounters followed by biometric capture like face scans, with limited transparency around the tool’s operation and use.

Fortify’s technology mobilizes facial capture hundreds of miles from the US border, allowing DHS to generate nonconsensual face prints of people who, “it is conceivable,” DHS’s Privacy Office says, are “US citizens or lawful permanent residents.” As with the circumstances surrounding its deployment to agents with Customs and Border Protection and Immigration and Customs Enforcement, Fortify’s functionality is visible mainly today through court filings and sworn agent testimony.

In a federal lawsuit this month, attorneys for the State of Illinois and the City of Chicago said the app had been used “in the field over 100,000 times” since launch.

In Oregon testimony last year, an agent said two photos of a woman in custody taken with his face-recognition app produced different identities. The woman was handcuffed and looking downward, the agent said, prompting him to physically reposition her to obtain the first image. The movement, he testified, caused her to yelp in pain. The app returned a name and photo of a woman named Maria; a match that the agent rated “a maybe.”

Agents called out the name, “Maria, Maria,” to gauge her reaction. When she failed to respond, they took another photo. The agent testified the second result was “possible,” but added, “I don’t know.” Asked what supported probable cause, the agent cited the woman speaking Spanish, her presence with others who appeared to be noncitizens, and a “possible match” via facial recognition. The agent testified that the app did not indicate how confident the system was in a match. “It’s just an image, your honor. You have to look at the eyes and the nose and the mouth and the lips.”



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Some of Our Favorite Valentine’s Day Gifts Are on Sale

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Some of Our Favorite Valentine’s Day Gifts Are on Sale


Love is in the air, and the WIRED Reviews team has been hard at work finding all sorts of Valentine’s Day deals. From sexy gifts for lovers to date night boxes to sex toys, we’ve got plenty of hand-tested recommendations, and many of them are on sale right now. If you’re still shopping for a gift, you can get yourself or your lover(s) something we recommend at a discount. Just keep in mind that you’ll want to shop sooner than later if you need the items to arrive before February 14.

Be sure to check out our related buying guides, including the Best Valentine’s Day Gifts and the Best Chocolate Delivery Boxes.

The Adventure Challenge Couples Edition for $38 ($7 off)

The Adventure Challenge

Couples Edition

This is one of our favorite date night boxes, and it also makes an excellent Valentine’s Day gift. Clip the coupon on the Amazon page to get it for $30. It has 50 different scratch-off date ideas. There are symbols indicating the budget needed, whether you’ll need a babysitter, how much time it takes, and other date parameters, but the specific date itself is hidden until you reveal it like a scratch-off lottery ticket. If you’re running low on date ideas or just want some fun (and sometimes cheesy) spontaneity, this book is worth checking out—especially on sale.

The Adventure Challenge

… In Bed

These scratch-off ideas are designed to help you and your partner rekindle intimacy (or try something new in the bedroom).

The Adventure Challenge

Date Night

Get out of the house with these scratch-off guided dates that can help you discover new local spots (or just break out of the normal routine).

We-Vibe Sync 2 for $135 ($34 off)

Image may contain: Electronics, Mobile Phone, Phone, Computer Hardware, Hardware, and Mouse

This is an excellent sex toy for long-distance couples, but you don’t have to be far apart geographically in order to enjoy it with your partner. The Sync 2 can be worn by someone with a vulva, either solo or during penetrative sex, and someone else controls the device using the remote control. It’s quiet and powerful, and its dual stimulation makes it approachable and fun for experienced couples as well as those who are new to using sex toys together.



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The Moto Watch Looks and Feels Like a Polar Fitness Tracker—but More Fun

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The Moto Watch Looks and Feels Like a Polar Fitness Tracker—but More Fun


However, rendered here in Motorola’s Watch app, everything looks fun and easy! Motorola (and Polar, I guess) uses Apple’s “close your rings” approach, with active minutes, steps, and calories. I particularly like that you can now use Polar’s sleep tracking with a cheaper Android watch. Polar takes into account sleep time, solidity (whether or not your sleep was interrupted), and regeneration to give you a Nightly Recharge Status.

You can still click through and see your ANS, but there’s a lot more context surrounding it. Also, the graphs are prettier. I compared the sleep, heart rate, and stress measurements to my Oura Ring 4, and I found no big discrepancies. The Moto Watch tended to be a little bit more generous in my sleep and activity measurements (7 hours and 21 minutes of sleep instead of 7 hours and 13 minutes, or 3,807 steps as compared to 3,209), but that’s usual for lower-end fitness trackers that have fewer and less-sensitive sensors.

On that note, I do have one major hardware gripe. Onboard GPS is meant to make it easier to just run out the door and start your watch. I didn’t find this to be the case. Whatever processor is in the watch (Motorola has conveniently chosen not to reveal this), it’s just really slow to connect to satellites and iffy whenever it does. This isn’t a huge deal when I’m just walking my dog or lifting weights in my living room, but it constantly cuts out when I’m outside and doesn’t have the ability to fill in the blanks, as another, more expensive fitness tracker would do.

It’s just really annoying to constantly get pinged about satellite loss and to have a quarter-mile or a half-mile cut out of your runs. That’s how I know the speaker works—it was constantly telling me it lost satellite connection during activities.

Finally, the screen and buttons are really sensitive. It does give you an option to lock the screen, but even then, I found myself accidentally unlocking it from time to time and turning the recording off when I didn’t mean to.

As I write this, I have seven different smartwatches from different brands sitting on my desk. If you’re looking for a cheap, attractive, and effective Android-compatible smartwatch, I would say that the CMF Watch 3 Pro is your best choice. However, I do think the integration with Polar was well done, and the price point is not that bad. I’m definitely keeping an eye out for what Motorola might have to offer in the future.



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