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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.

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.

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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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Elon Musk

Tesla CEO Elon Musk drops massive bomb about Cybercab

“And there is so much to this car that is not obvious on the surface,” Musk said.

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Credit: Tesla

Tesla CEO Elon Musk dropped a massive bomb about the Cybercab, which is the company’s fully autonomous ride-hailing vehicle that will enter production later this year.

The Cybercab was unveiled back in October 2024 at the company’s “We, Robot” event in Los Angeles, and is among the major catalysts for the company’s growth in the coming years. It is expected to push Tesla into a major growth phase, especially as the automaker is transitioning into more of an AI and Robotics company than anything else.

The Cybercab will enable completely autonomous ride-hailing for Tesla, and although its other vehicles will also be capable of this technology, the Cybercab is slightly different. It will have no steering wheel or pedals, and will allow two occupants to travel from Point A to Point B with zero responsibilities within the car.

Tesla shares epic 2025 recap video, confirms start of Cybercab production

Details on the Cybercab are pretty face value at this point: we know Tesla is enabling 1-2 passengers to ride in it at a time, and this strategy was based on statistics that show most ride-hailing trips have no more than two occupants. It will also have in-vehicle entertainment options accessible from the center touchscreen.

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It will also have wireless charging capabilities, which were displayed at “We, Robot,” and there could be more features that will be highly beneficial to riders, offering a full-fledged autonomous experience.

Musk dropped a big hint that there is much more to the Cybercab than what we know, as a post on X said that “there is so much to this car that is not obvious on the surface.”

As the Cybercab is expected to enter production later this year, Tesla is surely going to include a handful of things they have not yet revealed to the public.

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Musk seems to be indicating that some of the features will make it even more groundbreaking, and the idea is to enable a truly autonomous experience from start to finish for riders. Everything from climate control to emergency systems, and more, should be included with the car.

It seems more likely than not that Tesla will make the Cybercab its smartest vehicle so far, as if its current lineup is not already extremely intelligent, user-friendly, and intuitive.

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Investor's Corner

Tesla Q4 delivery numbers are better than they initially look: analyst

The Deepwater Asset Management Managing Partner shared his thoughts in a post on his website.

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Credit: Tesla Asia/X

Longtime Tesla analyst and Deepwater Asset Management Managing Partner Gene Munster has shared his insights on Tesla’s Q4 2025 deliveries. As per the analyst, Tesla’s numbers are actually better than they first appear. 

Munster shared his thoughts in a post on his website. 

Normalized December Deliveries

Munster noted that Tesla delivered 418k vehicles in the fourth quarter of 2025, slightly below Street expectations of 420k but above the whisper number of 415k. Tesla’s reported 16% year-over-year decline, compared to +7% in September, is largely distorted by the timing of the tax credit expiration, which pulled forward demand.

“Taking a step back, we believe September deliveries pulled forward approximately 55k units that would have otherwise occurred in December or March. For simplicity, we assume the entire pull-forward impacted the December quarter. Under this assumption, September growth would have been down ~5% absent the 55k pull-forward, a Deepwater estimate tied to the credit’s expiration.

For December deliveries to have declined ~5% year over year would imply total deliveries of roughly 470k. Subtracting the 55k units pulled into September results in an implied December delivery figure of approximately 415k. The reported 418k suggests that, when normalizing for the tax credit timing, quarter-over-quarter growth has been consistently down ~5%. Importantly, this ~5% decline represents an improvement from the ~13% declines seen in both the March and June 2025 quarters.

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Tesla’s United States market share

Munster also estimated that Q4 as a whole might very well show a notable improvement in Tesla’s market share in the United States. 

“Over the past couple of years, based on data from Cox Automotive, Tesla has been losing U.S. EV market share, declining to just under 50%. Based on data for October and November, Cox estimates that total U.S. EV sales were down approximately 35%, compared to Tesla’s just reported down 16% for the full quarter.  For the first two months of the quarter, Cox reported Tesla market share of roughly a 65% share, up from under 50% in the September quarter.

“While this data excludes December, the quarter as a whole is likely to show a material improvement in Tesla’s U.S. EV market share.

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Elon Musk

Tesla analyst breaks down delivery report: ‘A step in the right direction’

“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026,” Ives wrote.

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(Credit: Tesla)

Tesla analyst Dan Ives of Wedbush released a new note on Friday morning just after the company released production and delivery figures for Q4 and the full year of 2025, stating that the numbers, while slightly underwhelming, are “better than feared” and as “a step in the right direction.”

Tesla reported production of 434,358 and deliveries of 418,227 for the fourth quarter, while 1,654,667 vehicles were produced and 1,636,129 cars were delivered for the full year.

Tesla releases Q4 and FY 2025 vehicle delivery and production report

Interestingly, the company posted its own consensus figures that were compiled from various firms on its website a few days ago, where expectations were set at 1,640,752 cars for the year. Tesla fell about 4,000 units short of that. One of the areas where Tesla excelled was energy deployments, which totaled 46.7 GWh for the year.

In terms of vehicle deliveries, Ives writes that Tesla certainly has some things to work through if it wants to return to growth in that aspect, especially with the loss of the $7,500 tax credit in the U.S. and “continuous headwinds” for the company in Europe.

However, Ives also believes that, given the delivery numbers, which were on par with expectations, Tesla is positioned well for a strong 2026, especially with its AI focus, Robotaxi and Cybercab development, and energy:

“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026. We look forward to hearing more at the company’s 4Q25 call on January 28th. AI Valuation – The Focus Throughout 2026. We believe Tesla could reach a $2 trillion market cap over the coming year and, in a bull case scenario, $3 trillion by the end of 2026…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”

It’s no secret that for the past several years, Tesla’s vehicle delivery numbers have been the main focus of investors and analysts have looked at them as an indicator of company health to a certain extent. The problem with that narrative in 2025 and 2026 is that Tesla is now focusing more on the deployment of Full Self-Driving, its Optimus project, AI development, and Cybercab.

While vehicle deliveries still hold importance, it is more crucial to note that Tesla’s overall environment as a business relies on much more than just how many cars are purchased. That metric, to a certain extent, is fading in importance in the grand scheme of things, but it will never totally disappear.

Ives and Wedbush maintained their $600 price target and an ‘Outperform’ rating on the stock.

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