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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.

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

SpaceX President to gift Trump Accounts her SpaceX stock

Gwynne Shotwell’s 2 million SpaceX shares are headed to children’s Trump Accounts starting this December.

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Concept rendering of SpaceX President Gwynne Shotwell overlooks the company’s Hawthorne, California headquarters as an American flag flies over the campus at sunset.

SpaceX President Gwynne Shotwell said Friday that more than 2 million SpaceX shares belonging to her and her husband, Robert, will be distributed to children’s Trump Accounts in December, turning a pledge she made over the summer into an actual transfer. “Robert and I are thrilled that our gift of over 2 million shares of SpaceX stock will be distributed to children’s Trump accounts in December!” Shotwell wrote on X, adding that the shares are “transferring to escrow as we speak.”

The first round goes to children aged 11 to 17 who live in ZIP codes where the median family income is $57,000 or less, along with kids in ZIP codes with too few residents for the Census to report that figure. Shotwell said those families should receive a notice by Monday, Reuters reported.

A second gift is expected to be finalized in the next few weeks. That round will cover eligible children in military families serving overseas, children in foster care, and more kids in Texas counties near the Shotwells’ home where median family income is $90,000 or less. Elon Musk replied to the announcement with “Cool” and a heart emoji.

Shotwell first announced the donation on July 6, less than a month after SpaceX priced its record IPO at $135 per share on the Nasdaq. IPO filings showed Shotwell owned about 12.6 million SpaceX shares, Quartz reported at the time, which makes the gift roughly one sixth of her stake. At the roughly $146 per share used to value Musk’s own pledge earlier this month, 2 million shares are worth about $290 million.

How the stock would actually reach the accounts had been an open question since July. Treasury guidance acknowledged that stock donations could flow into Trump Accounts, but it did not explain the mechanics for a program whose contributions default into an S&P 500 index fund. Shotwell thanked the Treasury, the IRS, the Dell Foundation, Greater Horizons, Invest America and the law firms Morgan Lewis and Gibson Dunn for “working over the past few months to make this happen.”

The transfer also works as a dry run for a far larger gift. On October 19, Musk said he would give one of his SpaceX shares to every kid in America next year and called it “the first of many.” With roughly 72 million children in the country, that pledge is worth about $10.5 billion. President Donald Trump thanked Musk the same day and said the shares would go through Trump Accounts, though neither SpaceX nor the Treasury has published how or when that distribution will happen.

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Shotwell’s recipients also fill a gap in the program itself. Trump Accounts launched on July 4, and the $1,000 Treasury deposit only goes to babies born between 2025 and 2028. Teenagers aged 11 to 17 receive no government seed money, so for many of the families getting a notice on Monday, SpaceX stock will be the first asset in the account. The accounts convert into retirement accounts when the child turns 18.

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Tesla Full Self-Driving becomes main pillar of new Referral Program

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Credit: Tesla

Tesla Full Self-Driving is now the centerpiece of the company’s newly revised Referral Program, which launched on October 29.

Instead of referring people to purchase vehicles and the referrer receiving $250 in Tesla Credit, the new program now incentivizes Full Self-Driving subscriptions.

If a Tesla owner is on an FSD trial and uses a referral code to subscribe to Full Self-Driving, the person whose Referral Link was used will receive one month of FSD (Supervised). Their code can be utilized 12 times per year, with January 1 marking the reset date.

Realistically, this means that if your Referral Code is used by 12 Tesla owners on an FSD trial, you will receive a full year of FSD for free.

The previous program made it pretty difficult to get referrals; buying a vehicle is obviously a much larger financial strain than subscribing to Full Self-Driving for a month.

Of course, the previous Referral Program also offered a tangible benefit: $250 in credits you could use on Service, Supercharging, or anything in the Tesla Shop. It truly could pay for someone’s travel for a year. It recently bought me a new backpack and a T-shirt.

However, this new program is much more attainable for those who do not have a massive online presence of a slew of friends in the Tesla community who will use the code and max out subscriptions for vehicle purchases.

The Full Self-Driving suite will now be the keystone of the Referral Program, which makes it more inclusive and more fun for everyone with an awesome benefit.

It also gives the impression that Tesla is truly focused on FSD subscriptions, something that saw a tremendous increase in volume in Q3, as 75 percent of deliveries for the quarter came with an FSD subscription attached.

Full Self-Driving data is so instrumental to the suite’s improvement that this kind of program benefits Tesla as much as it does the consumer.

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Tesla made napping in a Robotaxi easier with its latest update

Tesla’s quiet mode reaches Model Y Robotaxis, blacking out the screen for riders wanting rest.

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Tesla’s quiet mode, the setting that blacks out the screen for riders who want to rest, has moved beyond the Cybercab. A video posted Thursday by Spencer (@scotsrule08) shows the feature running in a Model Y Robotaxi on a night ride that appears to be in Dallas.

The rider taps a small crescent moon icon in the bottom right corner of the map screen. The map, media player, app shortcuts and Grok prompt disappear, leaving a dark display with “Arriving soon,” the destination and a line reading “Tap display to exit quiet mode.” Controls a passenger may still need, including Pull Over, cabin temperature, volume and Support, stay visible. One tap anywhere brings the full map back.

Quiet mode first showed up in the Cybercab last week, which Teslarati reported alongside a new rear camera view. Tesla has been trimming cabin noise in other ways too. On October 25, Spencer reported that Robotaxi turn signals now chime for the first four blinks and then go silent. Tesla has not published release notes for either change.

Elon Musk has been pitching this use for more than a decade. In October 2014, he said that “maybe five or six years from now I think we’ll be able to achieve true autonomous driving where you could literally get in the car, go to sleep and wake up at your destination,”

By 2017 he was setting a higher bar. Speaking at TED, Musk said the hard part was not making self-driving work 99.9 percent of the time, “because, like, if a car crashes one in a thousand times, then you’re probably still not going to be comfortable falling asleep. You shouldn’t be, certainly.”

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Owners asked for something similar in their own cars. In December 2019, a Tesla owner requested a Nap Mode that would keep the climate running and wake the occupant with an alarm, and Musk answered “Ok,” as Teslarati covered at the time.

The line returned when the Cybercab was unveiled at the We, Robot event in October 2024. “We’ll move from supervised Full Self-Driving to unsupervised Full Self-Driving, where you can fall asleep and wake up at your destination,” Musk said. On Tesla’s first quarter earnings call in April 2025, he called it the deciding measure: “The acid test is, can you go to sleep in your car and wake up in your destination and I’m confident that will be available in many cities in the US by the end of this year,”

Tesla has run driverless Model Y rides in Dallas and Houston since April, so a passenger dozing off on the way home is now a realistic use of the button. Tesla is also offering new riders a free first trip in both cities, according to an in-app screen shared by tracker Ethan McKanna, and said on its third quarter call that Cybercab rides would launch in Dallas next month.

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