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

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.

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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Tesla exec pleads for federal framework of autonomy to U.S. Senate Committee
Tesla executive Lars Moravy appeared today in front of the U.S. Senate Commerce Committee to highlight the importance of modernizing autonomy standards by establishing a federal framework that would reward innovation and keep the country on pace with foreign rivals.
Moravy, who is Tesla’s Vice President of Vehicle Engineering, strongly advocated for Congress to enact a national framework for autonomous vehicle development and deployment, replacing the current patchwork of state-by-state rules.
These rules have slowed progress and kept companies fighting tooth-and-nail with local legislators to operate self-driving projects in controlled areas.
Tesla already has a complete Robotaxi model, and it doesn’t depend on passenger count
Moravy said the new federal framework was essential for the U.S. to “maintain its position in global technological development and grow its advanced manufacturing capabilities.
He also said in a warning to the committee that outdated regulations and approval processes would “inhibit the industry’s ability to innovate,” which could potentially lead to falling behind China.
Being part of the company leading the charge in terms of autonomous vehicle development in the U.S., Moravy highlighted Tesla’s prowess through the development of the Full Self-Driving platform. Tesla vehicles with FSD engaged average 5.1 million miles before a major collision, which outpaces that of the human driver average of roughly 699,000 miles.
Moravy also highlighted the widely cited NHTSA statistic that states that roughly 94 percent of crashes stem from human error, positioning autonomous vehicles as a path to dramatically reduce fatalities and injuries.
🚨 Tesla VP of Vehicle Engineering, Lars Moravy, appeared today before the U.S. Senate Commerce Committee to discuss the importance of outlining an efficient framework for autonomous vehicles:
— TESLARATI (@Teslarati) February 4, 2026
Skeptics sometimes point to cybersecurity concerns within self-driving vehicles, which was something that was highlighted during the Senate Commerce Committee hearing, but Moravy said, “No one has ever been able to take over control of our vehicles.”
This level of security is thanks to a core-embedded central layer, which is inaccessible from external connections. Additionally, Tesla utilizes a dual cryptographic signature from two separate individuals, keeping security high.
Moravy also dove into Tesla’s commitment to inclusive mobility by stating, “We are committed with our future products and Robotaxis to provide accessible transportation to everyone.” This has been a major point of optimism for AVs because it could help the disabled, physically incapable, the elderly, and the blind have consistent transportation.
Overall, Moravy’s testimony blended urgency about geopolitical competition, especially China, with concrete safety statistics and a vision of the advantages autonomy could bring for everyone, not only in the U.S., but around the world, as well.
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Tesla Model Y lineup expansion signals an uncomfortable reality for consumers
Tesla launched a new configuration of the Model Y this week, bringing more complexity to its lineup of the vehicle and adding a new, lower entry point for those who require an All-Wheel-Drive car.
However, the broadening of the Model Y lineup in the United States could signal a somewhat uncomfortable reality for Tesla fans and car buyers, who have been vocal about their desire for a larger, full-size SUV.
Tesla has essentially moved in the opposite direction through its closure of the Model X and its continuing expansion of a vehicle that fits the bill for many, but not all.
Tesla brings closure to Model Y moniker with launch of new trim level
While CEO Elon Musk has said that there is the potential for the Model Y L, a longer wheelbase configuration of the vehicle, to enter the U.S. market late this year, it is not a guarantee.
Instead, Tesla has prioritized the need to develop vehicles and trim levels that cater to the future rollout of the Robotaxi ride-hailing service and a fully autonomous future.
But the company could be missing out on a massive opportunity, as SUVs are a widely popular body style in the U.S., especially for families, as the tighter confines of compact SUVs do not support the needs of a large family.
Although there are other companies out there that manufacture this body style, many are interested in sticking with Tesla because of the excellent self-driving platform, expansive charging infrastructure, and software performance the vehicles offer.
Additionally, the lack of variety from an aesthetic and feature standpoint has caused a bit of monotony throughout the Model Y lineup. Although Premium options are available, those three configurations only differ in terms of range and performance, at least for the most part, and the differences are not substantial.
Minor Expansions of the Model Y Fail to Address Family Needs for Space
Offering similar trim levels with slight differences to cater to each consumer’s needs is important. However, these vehicles keep a constant: cargo space and seating capacity.
Larger families need something that would compete with vehicles like the Chevrolet Tahoe, Ford Expedition, or Cadillac Escalade, and while the Model X was its largest offering, that is going away.
Tesla could fix this issue partially with the rollout of the Model Y L in the U.S., but only if it plans to continue offering various Model Y vehicles and expanding on its offerings with that car specifically. There have been hints toward a Cyber-inspired SUV in the past, but those hints do not seem to be a drastic focus of the company, given its autonomy mission.
Model Y Expansion Doesn’t Boost Performance, Value, or Space
You can throw all the different badges, powertrains, and range ratings on the same vehicle, it does not mean it’s going to sell better. The Model Y was already the best-selling vehicle in the world on several occasions. Adding more configurations seems to be milking it.
The true need of people, especially now that the Model X is going away, is going to be space. What vehicle fits the bill of a growing family, or one that has already outgrown the Model Y?
Not Expanding the Lineup with a New Vehicle Could Be a Missed Opportunity
The U.S. is the world’s largest market for three-row SUVs, yet Tesla’s focus on tweaking the existing Model Y ignores this. This could potentially result in the Osborne Effect, as sales of current models without capturing new customers who need more seating and versatility.
Expansions of the current Model Y offerings risk adding production complexity without addressing core demands, and given that the Model Y L is already being produced in China, it seems like it would be a reasonable decision to build a similar line in Texas.
Listening to consumers means introducing either the Model Y L here, or bringing a new, modern design to the lineup in the form of a full-size SUV.
Elon Musk
Elon Musk reiterates Tesla Optimus’ most sci-fi potential yet
Musk shared his comments in a series of posts on social media platform X.
Elon Musk recently reiterated one of the most ambitious forecasts for Tesla’s humanoid robot, Optimus, stating it could become the first real-world example of a Von Neumann machine. He also noted once more that Optimus would be Tesla’s biggest product.
Musk shared his comments in a series of posts on social media platform X.
Optimus as a von Neumann machine
In response to a post on X that pondered on sci-fi timelines becoming real, Musk wrote that “Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet.” In a separate post, Musk wrote that Optimus will be Tesla’s “biggest product ever,” a phrase he has used in the past to describe the humanoid robot’s importance to the electric vehicle maker.
A Von Neumann machine is a class of theoretical self-replicating systems originally proposed in the mid-20th century by the mathematician John von Neumann. In his concept, von Neumann described machines that could travel to other worlds, use local materials to create copies of themselves, and carry out large-scale tasks without outside intervention.
Elon Musk’s broader plans
Considering Musk’s comments, it appears that Optimus would eventually be capable of performing complex work autonomously in environments beyond Earth. If Optimus could achieve such a feat, it could very well unlock humanity’s capability to explore locations beyond Earth. The idea of space exploration becomes more than feasible.
Elon Musk has discussed space-based AI compute, large-scale robotic production, and the role of SpaceX’s Starship in transporting hardware and materials to other planets. While Musk did not detail how Optimus would fit with SpaceX’s exploration activities, his Von Neumann machine comments suggest he is looking at Tesla’s robotics as part of a potential interplanetary ecosystem.