Tag: technology

US calls on Taiwan to stop supplying AI chips to China

Washington has officially demanded that Taiwan Semiconductor Manufacturing Co (TSMC), one of the world’s largest semiconductor manufacturing companies, stop supplying China with chips used in Artificial Intelligence (AI), Reuters reported on November 10. However, Washington’s pressure on China’s semiconductor industry also includes Taiwan once Donald Trump comes to power next year.

TSMC is one of the largest chip producers and cooperates with several technology companies, such as Nvidia and AMD, and specialises in integrated circuit, also known as a microchip, a small device made up of several interconnected electronic components that are etched onto a small piece of semiconductor material.

Taiwan produces about 90% of the world’s most advanced semiconductors, mostly by TSMC, and ensuring these chips do not reach China is a priority for Washington, an effort that will only intensify when Trump becomes president.

“The US ordered Taiwan Semiconductor Manufacturing Co to halt shipments of advanced chips to Chinese customers that are often used in artificial intelligence applications,” Reuters reported, citing sources familiar with the subject.

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Massive Chinese Anti-Drone High-Power Microwave Weapon Emerges

Ahuge truck-mounted system is one of at least three large mobile ground-based high-power microwave directed energy weapons, primarily intended to down drones, at this year’s Zhuhai Airshow. This underscores a global explosion of demand for counter-drone capabilities, as well as China’s steady progress in the development, fielding, and exporting of microwave and laser directed energy weapons.

Officially known as the China International Aviation & Aerospace Exhibition, the Zhuhai Airshow also provides an opportunity for Chinese and foreign companies to showcase ground-based and maritime offerings. Pictures and videos of various aircraft and other systems have been steadily emerging ahead of the event’s formal opening next week.

The imagery that has appeared online already amid the Zhuhai preparations includes a promotional video from state-run firms China South Industries Group Corporation (CSGC) and Norinco that features footage of two high-power microwave directed energy weapons, as well as other air defense systems.

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Witnesses Say the Israeli Army Is Using Facial Recognition Technology in Its Assault on North Gaza

Ishaaq al-Daour, 32, was sheltering with his family at the UN-run Abu Hussein School in Jabalia refugee camp when the Israeli army stormed the shelter on October 20, forcing over 700 hundred people out of the school and leading them into a large ditch that had been dug in advance by the military.

“They made all of the men go down into the ditch first,” al-Daour told Mondoweiss from the Remal neighborhood in Gaza City. “Then they ordered us to climb out of the ditch one by one and stood each of us in front of a camera that had been installed nearby.”

The army made the men stand in front of the “camera” for at least three minutes per person, al-Daour said, long enough for the cameras to scan their faces and reveal personal data seemingly already stored in the Israeli military’s system. After the scans, al-Daour said the soldiers would reveal information about each individual, including their “name, age, work, family members and names, place of residence, and even their personal activities.”

“When they suspected someone, they took him away [to an unknown location” al-Daour said. As for those who had relatives who belonged to Palestinian resistance movements or who personally belonged to resistance factions, al-Daour speculated that “their fate was immediate death,” citing stories he had heard from others in Gaza, whose friends and relatives were taken at checkpoints and had not been seen again, or who returned to Gaza in body bags. 

Al-Daour is one of the thousands of people who were expelled from the Jabalia refugee camp in northern Gaza and ordered to move south at gunpoint by the Israeli army. The forced exodus of thousands out of Jabalia is part of an Israeli offensive on northern Gaza that started on October 5. Its objective is to implement a proposal put forward by a group of senior Israeli generals that aims to empty northern Gaza of its inhabitants through starvation and bombardment, the so-called “Generals’ Plan.”

Survivors from Jabalia like al-Daour report that the Israeli army is using facial recognition technology to screen residents in the ongoing assault, often identifying people from long distances and picking them out from a crowd. 

Witnesses say that the Israeli army has set up security checkpoints throughout northern Gaza where the facial recognition technology is being deployed. The military is also reportedly using this technology when it storms shelters for the displaced. Witnesses report that in these cases Israeli forces will corral people in enclosed places, usually ditches dug by military bulldozers, and process them individually.

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Are Intelligence Agencies Planning to Make Voters Obsolete?

Here’s something for you to contemplate as you consider concerns about election integrity: Do the algorithms that Andrew Paquette, Ph.D., has found surreptitiously embedded in current state board of election voter rolls suggest intelligence agents have decided to bypass voters to vote election simulations?

As documented on GodsFiveStones.com, Paquette has found secret algorithms in the board of election voter registration databases in New York, New Jersey, Ohio, Wisconsin, Pennsylvania, Hawaii, and Texas, with ongoing examinations underway in Arizona and Georgia.

The algorithms appear designed to hide critical voter attribute information, allowing the people who developed the scheme to create and hide “non-existent voters” capable of being assigned legitimate state voter IDs. Once created, the algorithms can vote certifiable mail-in ballots for enough “non-existent voters” to steal an election from an opponent who won through legitimate votes.

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Meta Brings Back Face Scanning

After three years, Meta’s apps will once again include facial recognition (this is currently in the testing phase). The giant is “selling” the move to its users as a way to fight scammers and make account recovery easier.

The feature was abandoned because of widespread criticism of this tech, but Facebook and Instagram users can now expect to have it back on their apps.

The first scenario involves deploying facial recognition to remove what is known as celeb-bait ads, which use photos of public figures to get users to visit scam websites.

Meta said that if it suspects this is happening, faces in the ad will be compared to the public figure’s Facebook and Instagram profile photos using facial recognition.

For now, the feature is applied to a group of celebrities and public figures, on an “opt-out” basis. The company also revealed that since it is happening in real-time, the process is “faster and more accurate” than when done manually.

And now, onto “ordinary people.” The second test involves getting the apps’ users to take video selfies and upload them to Meta. Once again, facial recognition will be used to match these to people’s profile photos, this time in order to speed up the account recovery process.

Meta is clearly counting on the “convenience factor” to persuade users that subjecting themselves to facial recognition carried out by a tech juggernaut is a good idea.

Another promise is that the process will help when accounts are believed to be compromised by hackers logging in with stolen credentials.

The inevitable question is, what happens to this sensitive personal biometric data, especially once in the hands of Meta? The company said it will not use it for any other purposes, that it will be encrypted, and “immediately” deleted once a comparison has been made.

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US authorizes CIA mercenaries to run biometric concentration camps in Gaza Strip

The Biden administration has approved the deployment of 1,000 CIA-trained private mercenaries as part of a joint U.S.-Israeli plan to turn Gaza’s apocalyptic rubblescape into a high-tech dystopia.

Starting with Al-Atatra, a village in the northwestern Gaza Strip, the plan calls to build what the Israeli daily Ynet calls “humanitarian bubbles” – turning the remains of villages and neighborhoods into tiny concentration camps cut off from their environs and surrounded and controlled by mercenaries.

This comes as Israel carries out daily massacres and ethnic cleansing in northern Gaza, enacting the proposal known as The Generals’ Plan, originally crafted by former national security chief Giora Eiland to turn Gaza into “a place where no human being can exist.”

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Smart TVs a ‘Vast System of Digital Surveillance’ That Targets Everyone, Especially Kids

The streaming television industry has morphed into a vast data-driven viewer surveillance apparatus, transforming people’s TVs into tools for monitoring, tracking and targeting, according to a new report from the nonprofit Center for Digital Democracy.

The 48-page report, “How TV Watches Us: Commercial Surveillance in the Streaming Era,” charts the evolution from broadcast, cable and satellite television to connected TV (CTV), a term that encompasses the wide range of content delivered through the internet to smart TVs.

CTV includes popular apps like YouTube TV, Free Advertiser-Supported TV (FAST) channels, and streaming services like Disney +, Netflix and Amazon Prime. It also includes Roku, smart TVs and smart TV devices themselves.

The report documents how CTV, whose surge in viewership is largely driven by young audiences, harvests user data through a “sophisticated and expansive commercial surveillance system” that privacy advocates argue undermines existing consumer protections.

“CTV has become a privacy nightmare for viewers,” said Jeff Chester, report co-author and executive director of the Center for Digital Democracy, in a press release. “It is now a core asset for the vast system of digital surveillance that shapes most of our online experiences … as it gathers and uses sensitive data about health, children, race and political interests.”

Over the past five years, CTV corporations have teamed up with data brokers like Experian and TransUnion to create new data-mining tools that capture and aggregate everything an individual user does on their smart TV. This information can be integrated with data captured from other devices and real-world activities.

Existing privacy policies don’t explain or protect people from these new forms of data capture, the Center for Digital Democracy said — so viewers should disregard any promises companies make about not collecting or sharing user information.

These new data-capture practices form the foundation for a system with “unprecedented capabilities for surveillance and manipulation,” the report warns. “As a consequence, buying a smart TV set in today’s connected television marketplace is akin to bringing a digital Trojan Horse into one’s home.”

The Center for Digital Democracy submitted the report, along with letters to the Federal Trade Commission, the Federal Communications Commission, the California attorney general and the California Privacy Protection Agency, calling for an investigation into the industry.

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Maps Show ‘Multiple Incursions’ of Mystery Drones near US Military Sites

The U.S. military observed drones making “multiple incursions” late last year over or near sensitive military sights, including an air force base, with national and local officials still unable to produce an explanation for violations of heavily monitored airspace.

The Wall Street Journal reported earlier this month that mysterious uncrewed aerial vehicles (UAVs) had been spotted around the Langley Air Force Base in Hampton, Virginia, shortly after sunset during a period of more than two weeks.

One senior official based at Langley told The Journal that multiple drones headed across Chesapeake Bay and further south toward the city of Norfolk. They reportedly traveled across the main base for the Navy’s lauded SEAL Team Six and Naval Station Norfolk, the world’s largest naval port.

The Langley base first saw the drones on the evening of December 6, and then “experienced multiple incursions throughout the month of December,” a spokesperson said in a statement.

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AI scans RNA ‘dark matter’ and uncovers 70,000 new viruses

Researchers have used artificial intelligence (AI) to uncover 70,500 viruses previously unknown to science1, many of them weird and nothing like known species. The RNA viruses were identified using metagenomics, in which scientists sample all the genomes present in the environment without having to culture individual viruses. The method shows the potential of AI to explore the ‘dark matter’ of the RNA virus universe.

Viruses are ubiquitous microorganisms that infect animals, plants and even bacteria, yet only a small fraction have been identified and described. There is “essentially a bottomless pit” of viruses to discover, says Artem Babaian, a computational virologist at the University of Toronto in Canada. Some of these viruses could cause diseases in people, which means that characterizing them could help to explain mystery illnesses, he says.

Previous studies have used machine learning to find new viruses in sequencing data. The latest study, published in Cell this week, takes that work a step further and uses it to look at predicted protein structures1.

The AI model incorporates a protein-prediction tool, called ESMFold, that was developed by researchers at Meta (formerly Facebook, headquartered in Menlo Park, California). A similar AI system, AlphaFold, was developed by researchers at Google DeepMind in London, who won the Nobel Prize in Chemistry this week.

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The Pentagon Wants to Use AI to Create Deepfake Internet Users

The United States’ secretive Special Operations Command is looking for companies to help create deepfake internet users so convincing that neither humans nor computers will be able to detect they are fake, according to a procurement document reviewed by The Intercept.

The plan, mentioned in a new 76-page wish list by the Department of Defense’s Joint Special Operations Command, or JSOC, outlines advanced technologies desired for country’s most elite, clandestine military efforts. “Special Operations Forces (SOF) are interested in technologies that can generate convincing online personas for use on social media platforms, social networking sites, and other online content,” the entry reads.

The document specifies that JSOC wants the ability to create online user profiles that “appear to be a unique individual that is recognizable as human but does not exist in the real world,” with each featuring “multiple expressions” and “Government Identification quality photos.”

In addition to still images of faked people, the document notes that “the solution should include facial & background imagery, facial & background video, and audio layers,” and JSOC hopes to be able to generate “selfie video” from these fabricated humans. These videos will feature more than fake people: Each deepfake selfie will come with a matching faked background, “to create a virtual environment undetectable by social media algorithms.”

The Pentagon has already been caught using phony social media users to further its interests in recent years. In 2022, Meta and Twitter removed a propaganda network using faked accounts operated by U.S. Central Command, including some with profile pictures generated with methods similar to those outlined by JSOC. A 2024 Reuters investigation revealed a Special Operations Command campaign using fake social media users aimed at undermining foreign confidence in China’s Covid vaccine.

Last year, Special Operations Command, or SOCOM, expressed interest in using video “deepfakes,” a general term for synthesized audiovisual data meant to be indistinguishable from a genuine recording, for “influence operations, digital deception, communication disruption, and disinformation campaigns.” Such imagery is generated using a variety of machine learning techniques, generally using software that has been “trained” to recognize and recreate human features by analyzing a massive database of faces and bodies. This year’s SOCOM wish list specifies an interest in software similar to StyleGAN, a tool released by Nvidia in 2019 that powered the globally popular website “This Person Does Not Exist.” Within a year of StyleGAN’s launch, Facebook said it had taken down a network of accounts that used the technology to create false profile pictures. Since then, academic and private sector researchers have been engaged in a race between new ways to create undetectable deepfakes, and new ways to detect them. Many government services now require so-called liveness detection to thwart deepfaked identity photos, asking human applicants to upload a selfie video to demonstrate they are a real person — an obstacle that SOCOM may be interested in thwarting.

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