Tag: technology

Have 46,000 Year Ago Nematodes in Suspended Animation Really Been Resuscitated?

For more than two decades scientists have been collecting frozen microbes from deep layers of the Siberian permafrost, to see if they can be thawed and brought back to life. In the most recent revival experiments, a team of genetic researchers from Russia and Germany first reawakened and then identified a previously undiscovered nematode species, which they claim is 46,000 years old. Assuming this is true, this is the most ancient type of microscopic lifeform to have even been recovered from the freeze-dried Siberian soil.

In an article about their research just published in  PLOS Genetics , the genetic researchers describe how they confirmed the existence of this new species of roundworm, which was unearthed near  Siberia’s Kolyma River and has now been named  Panagrolaimus kolymaensis  (or P. kolymaensis ). There are many  nematode species that belong to the  Panagrolaimus line, so this ancient species has living relatives.

Interestingly, P. kolymaensis  was not recognized as a new type of nematode when it was  first revived in 2018 . It was incorrectly identified as belonging to another previously identified species, which lived 42,000 years ago.

But in the latest study, anomalies were detected that threw the initial identification of this variety of microscopic roundworm into doubt. Further analysis revealed it was a different species altogether, and one that had lived in an earlier time period.

 “The radiocarbon dating is absolutely precise, and we now know that they really survived 46,000 years,” study co-author Teymuras Kurzchalia, a cell biologist affiliated with the the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, told  Scientific American.

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Computer chip with built-in human brain tissue gets military funding

Last year, Monash University scientists created the “DishBrain” – a semi-biological computer chip with some 800,000 human and mouse brain cells lab-grown into its electrodes. Demonstrating something like sentience, it learned to play Pong within five minutes.

The micro-electrode array at the heart of the DishBrain was capable both of reading activity in the brain cells, and stimulating them with electrical signals, so the research team set up a version of Pong where the brain cells were fed a moving electrical stimulus to represent which side of the “screen” the ball was on, and how far away from the paddle it was. They allowed the brain cells to act on the paddle, moving it left and right.

Then they set up a very basic-reward system, using the fact that small clusters of brain cells tend to try to minimize unpredictability in their environment. So if the paddle hit the ball, the cells would receive a nice, predictable stimulus. But if it missed, the cells would get four seconds of totally unpredictable stimulation.

It was the first time lab-grown brain cells had been used this way, being given not only a way to sense the world, but to act on it, and the results were impressive.

Impressive enough that the research – undertaken in partnership with Melbourne startup Cortical Labs – has now attracted a US$407,000 grant from Australia’s National Intelligence and Security Discovery Research Grants program.

These programmable chips, fusing biological computing with artificial intelligence, “in future may eventually surpass the performance of existing, purely silicon-based hardware,” says project lead, Associate Professor Adeel Razi.

“The outcomes of such research would have significant implications across multiple fields such as, but not limited to, planning, robotics, advanced automation, brain-machine interfaces, and drug discovery, giving Australia a significant strategic advantage,” he said.

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PhD Student Uses Deepfake to Pass Popular Voice Authentication and Spoof Detection System

University of Waterloo (UW) cybersecurity PhD student Andre Kassis published his findings after being granted access to an account protected with biometrics using deepfake AI-generated audio recordings.

A hacker can create a deepfake voice with five minutes of the target’s recorded voice, which can be taken from public posts on social media, the research shows. GitHub’s open source AI software can create deepfake audio that can surpass voice authentication.

He used the deepfake to expose a weakness in the Amazon Connect voice authentication system, a UW release reveals. Four-second attacks on Connect had a 10 percent success rate, and attacks closer to 30 seconds were successful 40 percent of the time.

In response, the company added biometric anti-spoofing software that could find digital markers on a voice recording, revealing if it was made by a machine or human. This worked until Kassis used free software to remove the digital markers from his deepfakes.

His method can bypass less sophisticated voice biometric authentication systems with a 99 percent success rate after six tries, according to the announcement.

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TEXAS STATE POLICE PURCHASED ISRAELI PHONE-TRACKING SOFTWARE FOR “BORDER EMERGENCY”

THE TEXAS DEPARTMENT of Public Safety purchased access to powerful software capable of locating and following people through their phones as part of Republican Gov. Greg Abbott’s “border security disaster” efforts, according to documents reviewed by The Intercept.

In 2021, Abbott proclaimed that the “surge of individuals unlawfully crossing the Texas-Mexico border posed an ongoing and imminent threat of disaster” to the state and its residents. Among other effects, the disaster declaration opened a spigot of government money to a variety of private firms ostensibly paid to help patrol and blockade the state’s border with Mexico.

One of the private companies that got in on the cash disbursements was Cobwebs Technologies, a little-known Israeli surveillance contractor. Cobwebs’s marquee product, the surveillance platform Tangles, offers its users a bounty of different tools for tracking people as they navigate both the internet and the real world, synthesizing social media posts, app activity, facial recognition, and phone tracking.

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SCIENTISTS IMPLANT SUBJECTS WITH FAKE MEMORIES USING DEEPFAKES

Researchers have found that they can incept false memories by showing subjects deepfaked clips of movie remakes that were never actually produced.

As detailed in a recent paper published in the journal PLOS One, deepfaked clips of made-up movies were convincing enough to trick participants into believing they were real. Some went as far as to rank the fake movies, which included purported remakes of real movies like Will Smith starring in a rebooted “The Matrix,” to be better than the originals.

But the study did have an important caveat.

“However, deepfakes were no more effective than simple text descriptions at distorting memory,” the paper reads, suggesting that deepfakes aren’t entirely necessary to trick somebody into accepting a false memory.

“We shouldn’t jump to predictions of dystopian futures based on our fears around emerging technologies,” lead study author Gillian Murphy, a misinformation researcher at University College Cork in Ireland, told The Daily Beast. “Yes there are very real harms posed by deep fakes, but we should always gather evidence for those harms in the first instance, before rushing to solve problems we’ve just assumed might exist.”

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Scientists Receive Green Light to Merge Human Brain Cells with Computer Chips

Brain cells merging with computer chips could be the next evolution of artificial intelligence (AI). Scientists in Australia have been awarded funding to grow human brain cells and combine them with silicon chips.

A team led by researchers from Melbourne’s Monash University are receiving more than $405,000 as part of Australia’s National Intelligence and Security Discovery Research Grants Program. The new project, led by Associate Professor Adeel Razi, from the Turner Institute for Brain and Mental Health, in collaboration with Melbourne start-up Cortical Labs, will see scientists grow around 800,000 brain cells in a lab. They will then “teach” these cells to perform goal-directed tasks.

The project’s goal is to create what the team calls the DishBrain system, “to understand the various biological mechanisms that underlie lifelong continual learning.”

Last year, the brain cells made headlines around the globe after displaying their ability to perform simple tasks in a video game, like the tennis-style game, Pong. The team hopes these continual learning capabilities will transform machine learning — a branch of AI. The technology is becoming increasingly relevant in society, playing a role in everything from self-driving cars to intelligent wearable devices.

According to Associate Professor Razi, the research program’s work using lab-grown brain cells embedded onto silicon chips, “merges the fields of artificial intelligence and synthetic biology to create programmable biological computing platforms.”

“This new technology capability in future may eventually surpass the performance of existing, purely silicon-based hardware,” Razi says in a university release.

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Metals Really Can Heal Themselves Just Like The Cyborgs in “Terminator,” Scientists Reveal

According to new research, metals have the remarkable ability to heal themselves, just like the terrifying cyborg assassins in the “Terminator” movies. This discovery opens up possibilities for self-repairing engines, bridges, airplanes, and even rockets — which is especially promising for future manned missions to Mars.

In groundbreaking experiments, scientists were astonished to witness microscopic cracks disappear, offering hope for machines that can mend themselves on the spot.

“This was absolutely stunning to watch first-hand. What we have confirmed is that metals have their own intrinsic, natural ability to heal themselves, at least in the case of fatigue damage at the nanoscale,” says lead author Dr. Brad Boyce from Sandia National Laboratories in Albuquerque, in a media release.

Fatigue damage, resulting from repeated stress or motion, leads to the formation of tiny cracks in materials over time. These cracks grow and propagate until the entire device fails. This issue is of particular concern in spacecraft design, as a round trip to Mars takes at least 21 months.

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The Future Of AI Is War… And Human Extinction As Collateral Damage

A world in which machines governed by artificial intelligence (AI) systematically replace human beings in most business, industrial, and professional functions is horrifying to imagine. After all, as prominent computer scientists have been warning us, AI-governed systems are prone to critical errors and inexplicable “hallucinations,” resulting in potentially catastrophic outcomes.

But there’s an even more dangerous scenario imaginable from the proliferation of super-intelligent machines: the possibility that those nonhuman entities could end up fighting one another, obliterating all human life in the process.

The notion that super-intelligent computers might run amok and slaughter humans has, of course, long been a staple of popular culture. In the prophetic 1983 film “WarGames,” a supercomputer known as WOPR (for War Operation Plan Response and, not surprisingly, pronounced “whopper”) nearly provokes a catastrophic nuclear war between the United States and the Soviet Union before being disabled by a teenage hacker (played by Matthew Broderick). The “Terminator” movie franchise, beginning with the original 1984 film, similarly envisioned a self-aware supercomputer called “Skynet” that, like WOPR, was designed to control U.S. nuclear weapons but chooses instead to wipe out humanity, viewing us as a threat to its existence.

Though once confined to the realm of science fiction, the concept of supercomputers killing humans has now become a distinct possibility in the very real world of the near future. In addition to developing a wide variety of “autonomous,” or robotic combat devices, the major military powers are also rushing to create automated battlefield decision-making systems, or what might be called “robot generals.” In wars in the not-too-distant future, such AI-powered systems could be deployed to deliver combat orders to American soldiers, dictating where, when, and how they kill enemy troops or take fire from their opponents. In some scenarios, robot decision-makers could even end up exercising control over America’s atomic weapons, potentially allowing them to ignite a nuclear war resulting in humanity’s demise.

Now, take a breath for a moment. The installation of an AI-powered command-and-control (C2) system like this may seem a distant possibility. Nevertheless, the U.S. Department of Defense is working hard to develop the required hardware and software in a systematic, increasingly rapid fashion. In its budget submission for 2023, for example, the Air Force requested $231 million to develop the Advanced Battlefield Management System (ABMS), a complex network of sensors and AI-enabled computers designed to collect and interpret data on enemy operations and provide pilots and ground forces with a menu of optimal attack options. As the technology advances, the system will be capable of sending “fire” instructions directly to “shooters,” largely bypassing human control.

“A machine-to-machine data exchange tool that provides options for deterrence, or for on-ramp [a military show-of-force] or early engagement,” was how Will Roper, assistant secretary of the Air Force for acquisition, technology, and logistics, described the ABMS system in a 2020 interview. Suggesting that “we do need to change the name” as the system evolves, Roper added, “I think Skynet is out, as much as I would love doing that as a sci-fi thing. I just don’t think we can go there.”

And while he can’t go there, that’s just where the rest of us may, indeed, be going.

Mind you, that’s only the start. In fact, the Air Force’s ABMS is intended to constitute the nucleus of a larger constellation of sensors and computers that will connect all U.S. combat forces, the Joint All-Domain Command-and-Control System (JADC2, pronounced “Jad-C-two”). “JADC2 intends to enable commanders to make better decisions by collecting data from numerous sensors, processing the data using artificial intelligence algorithms to identify targets, then recommending the optimal weapon… to engage the target,” the Congressional Research Service reported in 2022.

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The Military Dangers of AI Are Not Hallucinations

A world in which machines governed by artificial intelligence (AI) systematically replace human beings in most business, industrial, and professional functions is horrifying to imagine. After all, as prominent computer scientists have been warning us, AI-governed systems are prone to critical errors and inexplicable “hallucinations,” resulting in potentially catastrophic outcomes. But there’s an even more dangerous scenario imaginable from the proliferation of super-intelligent machines: the possibility that those nonhuman entities could end up fighting one another, obliterating all human life in the process.

The notion that super-intelligent computers might run amok and slaughter humans has, of course, long been a staple of popular culture. In the prophetic 1983 film WarGames, a supercomputer known as WOPR (for War Operation Plan Response and, not surprisingly, pronounced “whopper”) nearly provokes a catastrophic nuclear war between the United States and the Soviet Union before being disabled by a teenage hacker (played by Matthew Broderick). The Terminator movie franchise, beginning with the original 1984 film, similarly envisioned a self-aware supercomputer called “Skynet” that, like WOPR, was designed to control U.S. nuclear weapons but chooses instead to wipe out humanity, viewing us as a threat to its existence.

Though once confined to the realm of science fiction, the concept of supercomputers killing humans has now become a distinct possibility in the very real world of the near future. In addition to developing a wide variety of “autonomous,” or robotic combat devices, the major military powers are also rushing to create automated battlefield decision-making systems, or what might be called “robot generals.” In wars in the not-too-distant future, such AI-powered systems could be deployed to deliver combat orders to American soldiers, dictating where, when, and how they kill enemy troops or take fire from their opponents. In some scenarios, robot decision-makers could even end up exercising control over America’s atomic weapons, potentially allowing them to ignite a nuclear war resulting in humanity’s demise.

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U.S. Committee Examines Role of AI in Warfare

Richard Moore, chief of the United Kingdom’s Secret Intelligence Service (SIS), claimed in a rare public speech on Wednesday that “artificial intelligence [AI] will change the world of espionage, but it won’t replace the need for human spies,” while admitting that British spies are already using AI to disrupt the supply of weapons to Russia.  

According to AP News, in his speech Moore painted AI as a “potential asset and major threat” and called China the “single most important strategic focus” for SIS, commonly known as MI6. He added, “We will increasingly be tasked with obtaining intelligence on how hostile states are using AI in damaging, reckless and unethical ways.” 

Moore shared that “’the unique characteristics of human agents in the right places will become still more significant,’ highlighting spies’ ability to ‘influence decisions inside a government or terrorist group.’” 

While speaking to an audience at the British ambassador’s residence in Prague, Moore urged Russians who oppose the invasion of Ukraine to spy for Britain. “I invite them to do what others have already done this past 18 months and join hands with us,” he said, assuring prospective defectors that “their secrets will always be safe with us” and that “our door is always open.”  

While the MI6 chief spent more time talking about the Russia-Ukraine conflict, it was his comments on the West potentially “falling behind rivals in the AI race” that stood out. Moore declared that, “Together with our allies, [SIS] intends to win the race to master the ethical and safe use of AI.”  

Being quite aware of AI and how it is being used by hostile states, the House Armed Services Subcommittee on Cyber, Information Technologies, and Innovation heard testimony from AI experts at Tuesday’s hearing, “Man and Machine: Artificial Intelligence on the Battlefield.” 

The subcommittee’s goal was to discuss “the barriers that prevent the Department of Defense [DOD] from adopting and deploying artificial intelligence (AI) effectively and safely, the Department’s role in AI adoption, and the risks to the Department from adversarial AI.” 

Alexandr Wang, founder and CEO of Scale AI, testified that during an investor trip to China, he witnessed first-hand the “progress that China was making toward developing computer vision technology and other forms of AI.” Wang was troubled at the time, “because this technology was also being used for domestic repression, such as persecuting the Uyghur population.” 

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