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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 reveals it is using AI to make factories more sustainable: here’s how

Tesla is using AI in its Gigafactory Nevada factory to improve HVAC efficiency.

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Credit: Tesla

Tesla has revealed in its Extended Impact Report for 2024 that it is using Artificial Intelligence (AI) to enable its factories to be more sustainable. One example it used was its achievement of managing “the majority of the HVAC infrastructure at Gigafactory Nevada is now AI-controlled” last year.

In a commitment to becoming more efficient and making its production as eco-friendly as possible, Tesla has been working for years to find solutions to reduce energy consumption in its factories.

For example, in 2023, Tesla implemented optimization controls in the plastics and paint shops located at Gigafactory Texas, which increased the efficiency of natural gas consumption. Tesla plans to phase out natural gas use across its factories eventually, but for now, it prioritizes work to reduce emissions from that energy source specifically.

It also uses Hygrometric Control Logic for Air Handling Units at Giafactory Berlin, resulting in 17,000 MWh in energy savings each year. At Gigafactory Nevada, Tesla saves 9.5 GWh of energy through the use of N-Methylpyrrolidone refineries when extracting critical raw material.

Perhaps the most interesting way Tesla is conserving energy is through the use of AI at Gigafactory Nevada, as it describes its use of AI to reduce energy demand:

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“In 2023, AI Control for HVAC was expanded from Nevada and Texas to now include our Berlin-Brandenburg and Fremont factories. AI Control policy enables HVAC systems within each factory to work together to process sensor data, model factory dynamics, and apply control actions that safely minimize the energy required to support production. In 2024, this system achieved two milestones: the majority of HVAC infrastructure at Gigafactory Nevada is now AI-controlled, reducing fan and thermal energy demand; and the AI algorithm was extended to manage entire chiller plants, creating a closed-loop control system that optimizes both chilled water consumption and the energy required for its generation, all while maintaining factory conditions.”

Tesla utilizes AI Control “primarily on systems that heat or cool critical factory production spaces and equipment.” AI Control communicates with the preexisting standard control logic of each system, and any issues can be resolved by quickly reverting back to standard control. There were none in 2024.

Tesla says that it is utilizing AI to drive impact at its factories, and it has proven to be a valuable tool in reducing energy consumption at one of its facilities.

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Tesla analysts believe Musk and Trump feud will pass

Tesla CEO Elon Musk and U.S. President Donald Trump’s feud shall pass, several bulls say.

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The White House, Public domain, via Wikimedia Commons
President Donald J. Trump purchases a Tesla on the South Lawn, Tuesday, March 11, 2025. (Official White House Photo by Molly Riley)

Tesla analysts are breaking down the current feud between CEO Elon Musk and U.S. President Donald Trump, as the two continue to disagree on the “Big Beautiful Bill” and its impact on the country’s national debt.

Musk, who headed the Department of Government Efficiency (DOGE) under the Trump Administration, left his post in May. Soon thereafter, he and President Trump entered a very public and verbal disagreement, where things turned sour. They reconciled to an extent, and things seemed to be in the past.

However, the second disagreement between the two started on Monday, as Musk continued to push back on the “Big Beautiful Bill” that the Trump administration is attempting to sign into law. It would, by Musk’s estimation, increase spending and reverse the work DOGE did to trim the deficit.

President Trump has hinted that DOGE could be “the monster” that “eats Elon,” threatening to end the subsidies that SpaceX and Tesla receive. Musk has not been opposed to ending government subsidies for companies, including his own, as long as they are all abolished.

How Tesla could benefit from the ‘Big Beautiful Bill’ that axes EV subsidies

Despite this contentious back-and-forth between the two, analysts are sharing their opinions now, and a few of the more bullish Tesla observers are convinced that this feud will pass, Trump and Musk will resolve their differences as they have before, and things will return to normal.

ARK Invest’s Cathie Wood said this morning that the feud between Musk and Trump is another example of “this too shall pass:”

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Additionally, Wedbush’s Dan Ives, in a note to investors this morning, said that the situation “will settle:”

“We believe this situation will settle and at the end of the day Musk needs Trump and Trump needs Musk given the AI Arms Race going on between the US and China. The jabs between Musk and Trump will continue as the Budget rolls through Congress but Tesla investors want Musk to focus on driving Tesla and stop this political angle…which has turned into a life of its own in a roller coaster ride since the November elections.”

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Tesla shares are down about 5 percent at 3:10 p.m. on the East Coast.

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Tesla scrambles after Musk sidekick exit, CEO takes over sales

Tesla CEO Elon Musk is reportedly overseeing sales in North America and Europe, Bloomberg reports.

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Credit: Tesla

Tesla scrambled its executives around following the exit of CEO Elon Musk’s sidekick last week, Omead Afshar. Afshar was relieved of his duties as Head of Sales for both North America and Europe.

Bloomberg is reporting that Musk is now overseeing both regions for sales, according to sources familiar with the matter. Afshar left the company last week, likely due to slow sales in both markets, ending a seven-year term with the electric automaker.

Tesla’s Omead Afshar, known as Elon Musk’s right-hand man, leaves company: reports

Afshar was promoted to the role late last year as Musk was becoming more involved in the road to the White House with President Donald Trump.

Afshar, whose LinkedIn account stated he was working within the “Office of the CEO,” was known as Musk’s right-hand man for years.

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Additionally, Tom Zhu, currently the Senior Vice President of Automotive at Tesla, will oversee sales in Asia, according to the report.

It is a scramble by Tesla to get the company’s proven executives over the pain points the automaker has found halfway through the year. Sales are looking to be close to the 1.8 million vehicles the company delivered in both of the past two years.

Tesla is pivoting to pay more attention to the struggling automotive sales that it has felt over the past six months. Although it is still performing well and is the best-selling EV maker by a long way, it is struggling to find growth despite redesigning its vehicles and launching new tech and improvements within them.

The company is also looking to focus more on its deployment of autonomous tech, especially as it recently launched its Robotaxi platform in Austin just over a week ago.

Tesla officially launches Robotaxi service with no driver

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However, while this is the long-term catalyst for Tesla, sales still need some work, and it appears the company’s strategy is to put its biggest guns on its biggest problems.

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