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Scientists create AI neural net that can unlock digital fingerprint-secured devices

Fingerprint scan. | Credit: RCPA

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Computer scientists at New York University and Michigan State University have trained an artificial neural network to create fake digital fingerprints that can bypass locks on cell phones. The fakes are called “DeepMasterPrints”, and they present a significant security flaw for any device relying on this type of biometric data authentication. After exploiting the weaknesses inherent in the ergonomic needs of cellular devices, DeepMasterPrints were able to imitate over 70% of the fingerprints in a testing database.

An artificial neural network is a type of artificial intelligence comprising computer algorithms modeled after the human brain’s ability to recognize patterns. The DeepMasterPrints system was trained to analyze sets of fingerprint images and generate a new image based on the features that occurred most frequently. This “skeleton key” could then be used to exploit the way cell phones authenticate user fingerprints.

In cell phones, the necessarily small size of fingerprint readers creates a weakness in the way they verify a print. In general, phone sensors only capture a partial image of a print when a user is attempting to unlock the device, and that piece is then compared to the phone’s authorized print image database. Since a partial print means there are fewer characteristics to distinguish it than a full print, a DeepMasterPrint needs to match fewer features to imitate a fingerprint. It’s worth noting that the concept of exploiting this flaw is not unique to this particular study; however, generating unique images rather than using actual or synthesized images is a new development.

An overview of the DeepMasterPrint system. | Credit: IEEE

The team involved in the study resulting in the DeepMasterPrint creation initiated it as part of the ongoing assessment of vulnerabilities in fingerprint recognition systems. Finding exploitable flaws and fixing them is a constant battle in all digital systems with a security component. With this reality in mind, the scientists determined that merely exposing the flaws of fingerprint systems would not provide an effective solution; a working example of how attacks could be executed provides more specific data for researchers to design around and protect against. Creating the DeepMasterPrint system was meant to address this need.

The results revealed by the DeepMasterPrint system are concerning for anyone relying on fingerprint authentication on their smartphones. Scientists compared the generated fake prints against templates generated by VeriFinger 9.0 SDK, Bozorth3, and Innovatrics IDKit 5.3 SKD, all of which are software systems used in fingerprint authentication systems worldwide. At a low false match rate, i.e., strict match requirements for authentication, the fake print generated by DeepMasterPrint could imitate 23% of the fingerprints in the test database. At a slightly higher false match rate that was still within standard phone authentication limits, the fake print imitated 77% of the test fingerprints.

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Real fingerprints on the left vs. DeepMasterPrint generated fingerprints on the right. | Credit: IEEE

The scientists in this study did not create physical fingerprints to try and unlock actual phones, leaving that work to be done in the near future. However, even though the successful DeepMasterPrints have yet to be tested in true applications rather than a virtual environment, the data gathered confirmed the initial security concerns which inspired the experiment. Fingerprints are being used as identity verification in a growing number of applications beyond cell phone security, i.e., unlocking entryways, payment authentication, etc. The DeepMasterPrint system is another tool to help researchers guard their security as biometric authentication continues to expand.

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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Tesla Model S and X customization options begin to thin as their closure nears

Tesla’s Online Design Studio for both vehicles now shows the first color option to be listed as “Sold Out,” as Lunar Silver is officially no longer available for the Model S or Model X. This color is exclusive to these cars and not available on the Model S or Model X.

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Credit: Tesla

Tesla Model S and Model X customization options are beginning to thin for the first time as the closure of the two “sentimental” vehicles nears.

We are officially seeing the first options disappear as Tesla begins to work toward ending production of the two cars and the options that are available to those vehicles specifically.

Tesla’s Online Design Studio for both vehicles now shows the first color option to be listed as “Sold Out,” as Lunar Silver is officially no longer available for the Model S or Model X. This color is exclusive to these cars and not available on the Model S or Model X.

Tesla is making way for the Optimus humanoid robot project at the Fremont Factory, where the Model S and Model X are produced. The two cars are low-volume models and do not contribute more than a few percent to Tesla’s yearly delivery figures.

With CEO Elon Musk confirming that the Model S and Model X would officially be phased out at the end of the quarter, some of the options are being thinned out.

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This is an expected move considering Tesla’s plans for the two vehicles, as it will make for an easier process of transitioning that portion of the Fremont plant to cater to Optimus manufacturing. Additionally, this is likely one of the least popular colors, and Tesla is choosing to only keep around what it is seeing routine demand for.

During the Q4 Earnings Call in January, Musk confirmed the end of the Model S and Model X:

“It is time to bring the Model S and Model X programs to an end with an honorable discharge. It is time to bring the S/X programs to an end. It’s part of our overall shift to an autonomous future.”

Fremont will now build one million Optimus units per year as production is ramped.

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Tesla Cybertruck Dual Motor AWD estimated delivery slips to early fall 2026

Tesla has also added a note on the Cybertruck design page stating that the vehicle’s price will increase after February 28.

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Credit: Grok Imagine

Tesla’s estimated delivery window for new Cybertruck Dual Motor All-Wheel Drive (AWD) orders in the United States has shifted to September–October 2026. This suggests that the vehicle’s sub-$60,000 variant is now effectively sold out until then.

The updated timeline was highlighted in a post on X by Tesla watcher Sawyer Merritt, who noted that the estimated delivery window had moved from June 2026 to September-October 2026, “presumably due to strong demand.”

The Dual Motor AWD currently starts at $59,990 before incentives. Tesla has also added a note on the Cybertruck design page stating that the vehicle’s price will increase after February 28.

If demand remains steady, the combination of a later delivery window and a pending price increase suggests Tesla is seeing sustained interest in the newly-introduced Cybertruck configuration. This was highlighted by Elon Musk on X, when he noted that the Cybertruck Dual Motor AWD’s introductory price will only be available for a limited time.

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When the Cybertruck was first unveiled in November 2019, Tesla listed the Dual Motor AWD variant at $49,990. Adjusted for inflation, that figure equates to roughly $63,000 in 2026 dollars, based on cumulative U.S. inflation since 2019.

That context makes a potential post-February price in the $64,000 to $65,000 range less surprising, especially as material, labor, and manufacturing costs have shifted significantly over the past several years.

While Tesla has not announced a specific new MSRP, the updated delivery timeline and pricing note together suggest that the Cybertruck Dual Motor AWD could very well be the variant that takes the all-electric full-sized pickup truck to more widespread adoption.

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SpaceX targets 150Mbps per user for upgraded Starlink Direct-to-Cell

If achieved, the 150Mbps goal would represent a significant jump from the current performance of Starlink Direct-to-Cell.

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Credit: SpaceX/X

SpaceX is targeting peak download speeds of 150Mbps per user for its next-generation Direct-to-Cell Starlink service. The update was shared by SpaceX Spectrum & Regulatory Affairs Lead Udrivolf Pica during the International Telecommunication Union’s Space Connect conference.

“We are aiming at peak speeds of 150Mbps per user,” Pica said during the conference. “So something incredible if you think about the link budgets from space to the mobile phone.”

If achieved, the 150Mbps goal would represent a significant jump from the current performance of Starlink Direct-to-Cell.

Today, SpaceX’s cellular Starlink service, offered in partnership with T-Mobile under the T-Satellite brand, provides speeds of roughly 4Mbps per user. The service is designed primarily for texts, low-resolution video calls, and select apps in locations that traditionally have no cellular service.

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By comparison, Ookla data shows median 5G download speeds of approximately 309Mbps for T-Mobile and 172Mbps for AT&T in the United States, as noted in a PCMag report. While 150Mbps would still trail the fastest terrestrial 5G networks, it would place satellite-to-phone broadband much closer to conventional carrier performance, even in remote areas. 

Pica indicated that the upgraded system would support “video, voice, and data services, clearly,” moving beyond emergency connectivity and basic messaging use cases.

To reach that target, SpaceX plans to upgrade its existing Starlink Direct-to-Cell satellites and add significant new capacity. The company recently acquired access to radio spectrum from EchoStar, which Pica described as key to expanding throughput. 

“More spectrum means a bigger pipeline, and this means that we can expand what we can do with partners. We can expand the quality of service. And again, we can do cellular broadband basically, cellular broadband use cases, like AI or daily connectivity needs,” he stated.

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SpaceX has also requested regulatory approval to deploy 15,000 additional Direct-to-Cell satellites, beyond the roughly 650 currently supporting the system. The upgraded architecture is expected to begin rolling out in late 2027.

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