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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 Full Self-Driving gets first-ever European approval

Tesla owners in the Netherlands with a Full Self-Driving subscription will receive a software update “shortly,” the company said, activating the operation of the company’s semi-autonomous driving tech for the first time in Europe.

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Credit: Tesla AI | X

Tesla Full Self-Driving (Supervised) got its first-ever European approval, as the Netherlands gave the suite the green light to begin operation.

Tesla owners in the Netherlands with a Full Self-Driving subscription will receive a software update “shortly,” the company said, activating the operation of the company’s semi-autonomous driving tech for the first time in Europe.

The Dutch vehicle authority RDW granted the type approval after more than 18 months of rigorous testing on both closed tracks and public roads. FSD Supervised complies with UN R-171 standards and benefits from Article 39 exemptions under EU Regulation 2018/858. Importantly, it is not a fully autonomous vehicle.

The RDW stressed that the driver remains fully responsible and must maintain attention at all times. “Safety is paramount for the RDW,” the authority stated. “Proper use of this driver assistance system contributes positively to road safety.” Sensors monitor driver alertness, issuing warnings if eyes leave the road or hands are unavailable to take control immediately.

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CEO Elon Musk also commented on the approval in a post on X, saying:

“First (supervised) FSD approval in Europe! Congratulations to the Tesla team and thank you to the regulatory authorities in the Netherlands for all of the hard work required to make this happen.”

Trained on billions of kilometers of real-world driving data, FSD Supervised allows the vehicle to handle residential streets, dense city traffic, and highways under constant supervision. Tesla’s post declared:

“It can drive you almost anywhere under your supervision – from residential roads to city streets & highways. No other vehicle can do this.”

The company added that it is “excited to bring FSD Supervised to more European countries soon.”

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This national approval paves the way for broader EU adoption. Other member states can recognize the Dutch certification individually, with a potential bloc-wide rollout via European Commission committee vote anticipated by this Summer. The decision underscores Europe’s stricter safety and documentation requirements compared to U.S. self-certification.

Tesla Europe shares FSD test video weeks ahead of launch target

The Netherlands’ approval represents a pivotal step for Tesla in Europe, where complex regulations and mixed traffic have delayed rollout. Musk added that the RDW was “rigorous” in its assessment of FSD.

By proving the system’s safety in one of the continent’s most bicycle- and tram-heavy nations, Tesla positions itself to transform mobility across the EU—delivering greater convenience while keeping drivers firmly in control.

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As the first domino falls, anticipation builds for FSD Supervised to reach additional countries soon.

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Tesla is using a redesigned Cybertruck battery cell to mitigate Semi challenges

It is perhaps the most recent example of Tesla using unique engineering prowess and cross-pollinating vehicle elements to solve common problems, something it does better than most companies out there.

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Credit: Tesla

Tesla revealed that it is utilizing redesigned Cybertruck battery cells in its Long Range Semi to mitigate some pertinent challenges that come with long-haul logistics.

It is perhaps the most recent example of Tesla using unique engineering prowess and cross-pollinating vehicle elements to solve common problems, something it does better than most companies out there.

Tesla’s long-awaited Semi truck is entering production at its Nevada Gigafactory, and fresh factory footage reveals a clever evolution in its battery technology.

The Long Range variant, designed for up to 500 miles of real-world range, relies on a structural battery pack that uses the same 4680-form-factor cells found in the Cybertruck.

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However, Tesla engineers have completely redesigned the pack’s architecture—shifting from the flat, pancake-style modules typical in passenger vehicles to a compact, vertical cubic layout. This change isn’t just about cramming more energy into the chassis; it’s a targeted solution to one of electric trucking’s biggest headaches: range loss in cold climates.

Dan Priestley, Head of the Tesla Semi program, said:

“We’re using essentially the same cell out of Cybertruck, but our cars packs are more like a pancake. Whereas these are more like a cube. You get a lot of energy stored in a small space. You can only do this if you design the vehicle to be electric from the ground up.”

In conventional EVs, battery packs are laid out horizontally in wide, flat arrays to fit under the floor. While this works for cars and even the Cybertruck’s structural pack, it exposes a large surface area to the elements.

Heat escapes quickly, especially overnight when the truck is parked. Cold temperatures slow chemical reactions inside lithium-ion cells, reducing available energy and forcing the vehicle to expend extra power warming the battery and cabin.

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Real-world tests on vehicles like the Cybertruck show winter range losses of 20-40 percent, depending on conditions. For long-haul truck drivers operating in Canada, Scandinavia, or the northern U.S., this “silent killer” means unplanned stops, reduced payloads, and higher operating costs.

From personal experience, cold weather still impacts EV batteries even with various inventions and strategies that companies have come up with. In the cold Pennsylvania winter, charging was much more frequent for me due to range loss due to temperatures.

Tesla’s cubic battery pack flips the script. By arranging the 4680 cells in tall, dense vertical stacks, the pack minimizes external surface area relative to its volume—essentially turning the battery into its own thermal blanket.

Factory video from the Semi assembly line shows these large, yellow-green structural modules mounted directly onto the chassis, forming a near-cube shape.

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The reduced exposure helps the pack retain heat generated during operation, keeping cells closer to their optimal temperature even after hours in sub-zero conditions.

The design doesn’t stop there. Tesla pairs the cubic pack with an advanced heat pump system that actively recycles thermal energy from the motors, brakes, and even ambient air.

Tesla reveals various improvements to the Semi in new piece with Jay Leno

Unlike passive systems in earlier EVs, this architecture transfers waste heat back into the battery, maintaining readiness for morning departures without draining the pack.

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Executives have noted that the combination, cubic geometry plus intelligent thermal management, dramatically cuts overnight cooldown and range degradation, making the Semi viable for 24/7 fleet operations in harsh winters.

Beyond cold-weather performance, the redesigned pack integrates structurally with the truck’s frame, enhancing rigidity while simplifying assembly. Production footage shows workers installing the massive modules early in the line, signaling that the Semi’s battery is now a core chassis component rather than an add-on.

Using proven 4680 cells keeps costs down and leverages Tesla’s scaled manufacturing know-how from Cybertruck and Model Y lines.

Tesla’s focus on ramping up Semi output will lean on small innovative steps like this one. Truckers are not immune to traveling in cold weather conditions, and changes like this one will help make them more effective while also increasing output by logistics operators who choose to go all-electric with the Tesla Semi.

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SpaceX is keeping the Space Station alive again this weekend

SpaceX’s Falcon 9 launches Northrop Grumman’s Cygnus NG-24 to the ISS with 11,000 pounds of cargo Saturday.

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SpaceX is targeting April 11 for the launch of Northrop Grumman’s Cygnus XL cargo spacecraft to the International Space Station, carrying over 11,000 pounds of supplies, science hardware, and equipment for the Expedition 73 crew aboard. Liftoff is set for 7:41 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available April 12 at 7:18 a.m. ET.

The mission, officially designated NG-24 under NASA’s Commercial Resupply Services program, names its spacecraft the S.S. Steven R. Nagel in honor of the NASA astronaut who flew four Space Shuttle missions and logged over 723 hours in space before his death in 2014. Unlike SpaceX’s own Dragon capsule, which docks autonomously, Cygnus relies on NASA astronauts to capture it using a robotic arm before it is berthed to the space station’s module for unloading. When the mission wraps up around October, the Cygnus will depart loaded with station trash and burn up on reentry.

Countdown: America is going back to the Moon and SpaceX holds the key to what comes after

This is the second flight of the Cygnus XL configuration, which debuted on NG-23 in September 2025 and offers a roughly 20% increase in cargo capacity over the previous design. Northrop Grumman switched to Falcon 9 launches after its own Antares 230+ rocket was retired in 2023 following supply chain disruptions from the war in Ukraine.

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The upcoming cargo includes a new module to advance quantum research, and an investigation studying blood stem cell production in microgravity with potential therapeutic applications on Earth.

The NG-24 mission is one piece of a much larger picture for SpaceX and the U.S. government. As Teslarati reported, SpaceX has become an indispensable launch provider for U.S. national security missions, picking up a $178.5 million Space Force contract in April 2026 to launch missile tracking satellites, while also holding roughly $4 billion in NASA contracts tied to the Artemis lunar program.

At a time when no other American rocket can match the Falcon 9’s combination of reliability, cost, and launch cadence, Saturday’s mission is a straightforward reminder of how much the U.S. government now depends on a single commercial provider to keep its astronauts supplied and its satellites flying.

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