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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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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.

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Credit: Tesla/YouTube

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. 

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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. 

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Tesla China January wholesale sales rise 9% year-on-year

Tesla reported January wholesale sales of 69,129 China-made vehicles, as per data released by the China Passenger Car Association.

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Credit: Tesla China

Tesla China reported January wholesale sales of 69,129 Giga Shanghai-made vehicles, as per data released by the China Passenger Car Association (CPCA). The figure includes both domestic sales and exports from Gigafactory Shanghai.

The total represented a 9.32% increase from January last year but a 28.86% decline from December’s 97,171 units.

China EV market trends

The CPCA estimated that China’s passenger new energy vehicle wholesale volume reached about 900,000 units in January, up 1% year-on-year but down 42% from December. Demand has been pressured by the start-of-year slow season, a 5% additional purchase tax cost, and uncertainty around the transition of vehicle trade-in subsidies, as noted in a report from CNEV Post.

Market leader BYD sold 210,051 NEVs in January, down 30.11% year-on-year and 50.04% month-on-month, as per data released on February 1. Tesla China’s year-over-year growth then is quite interesting, as the company’s vehicles seem to be selling very well despite headwinds in the market. 

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Tesla China’s strategies

To counter weaker seasonal demand, Tesla China launched a low-interest financing program on January 6, offering up to seven-year terms on select produced vehicles. The move marked the first time an automaker offered financing of that length in the Chinese market.

Several rivals, including Xiaomi, Li Auto, XPeng, and NIO, later introduced similar incentives. Tesla China then further increased promotions on January 26 by reinstating insurance subsidies for the Model 3 sedan. The CPCA is expected to release Tesla’s China retail sales and export breakdown later this month.

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Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works

For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.

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Credit: Michał Gapiński/YouTube

Tesla’s Apple CarPlay ambitions appeared to be dead in the water after a large amount of speculation late last year that the company would add the user interface seemed to cool down after several weeks of reports.

However, it appears that CarPlay might make its way to Tesla vehicles after all, as a recent report seems to indicate that it is still being worked on by software teams for the company.

The real question is whether it is truly needed or if it is just a want by so many owners that Tesla is listening and deciding to proceed with its development.

Back in NovemberBloomberg reported that Tesla was in the process of testing Apple CarPlay within its vehicles, which was a major development considering the company had resisted adopting UIs outside of its own for many years.

Nearly one-third of car buyers considered the lack of CarPlay as a deal-breaker when buying their cars, a study from McKinsey & Co. outlined. This could be a driving decision in Tesla’s inability to abandon the development of CarPlay in its vehicles, especially as it lost a major advantage that appealed to consumers last year: the $7,500 EV tax credit.

Tesla owners propose interesting theory about Apple CarPlay and EV tax credit

Although we saw little to no movement on it since the November speculation, Tesla is now reportedly in the process of still developing the user interface. Mark Gurman, a Bloomberg writer with a weekly newsletter, stated that CarPlay is “still in the works” at Tesla and that more concrete information will be available “soon” regarding its development.

While Tesla already has a very capable and widely accepted user interface, CarPlay would still be an advantage, considering many people have used it in their vehicles for years. Just like smartphones, many people get comfortable with an operating system or style and are resistant to using a new one. This could be a big reason for Tesla attempting to get it in their own cars.

Tesla gets updated “Apple CarPlay” hack that can work on new models

For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.

It holds one distinct advantage over Tesla’s UI in my opinion, and that’s the ability to read and respond to text messages, which is something that is available within a Tesla, but is not as user-friendly.

With that being said, I would still give CarPlay a shot in my Tesla. I didn’t particularly enjoy it in my Bronco Sport, but that was because Ford’s software was a bit laggy with it. If it were as smooth as Tesla’s UI, which I think it would be, it could be a really great addition to the vehicle.

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