Tag: technology

GLOWING PLANTS THAT TURN ENERGY INTO LIGHT ARE ABOUT TO BE COMMERCIALLY AVAILABLE FOR THE FIRST TIME

Tapping into the magic of bioluminescence, Light Bio is preparing to ship its first orders for glowing plants this spring. The company provides flora that converts energy into light, making their offerings the first commercially available plants that glow in the dark.

After scaling up production to meet excessive demands, Light Bio says it will finally begin shipping orders for their glowing “Firefly Petunia,” which was so named because its glowing leaves resemble fireflies, next month.

Some plant and animal species in nature convert chemical energy into visible light, causing them to glow. While the majority of these seemingly magical lifeforms are aquatic, some take the form of glowing plants. Among the most studied are bioluminescent mushrooms that glow in the dark.

Some laboratories have been able to combine the genes responsible for these glowing fungi into more aesthetically pleasing plants, including flowers. However, genetic engineering is complicated, and the most common process involves incorporating five different genes into the target plant to generate light. The science is also highly regulated, meaning glowing plants have thus far existed as a laboratory curiosity and nothing more.

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DOD developing ‘Gremlin’ capability to help personnel collect real-time UAP data

The Pentagon’s All-domain Anomaly Resolution Office is producing and refining a new deployable surveillance capability — the Gremlin System — to enable personnel to capture real-time data and more rapidly respond to unidentified anomalous phenomena (UAP) incidents as they occur, the acting chief of the office told DefenseScoop during a press briefing Wednesday.

Tim Phillips, AARO’s acting director on assignment from the Office of the Director of National Intelligence, shared the first public details about these in-the-works, sensor-equipped Gremlin “kits” during the Wednesday briefing, which was more broadly focused on the office’s release of the congressionally required “Volume I Report on the Historical Record of U.S. Government Involvement with UAP.” That report is attached below.

“We’re working with some of the government labs, such as the Department of Energy labs, and we have a great partner with Georgia Tech. And what we’re doing is developing a deployable, configurable sensor suite that we can put in Pelican cases. We’re going to be able to pull it to the field to do a long-term [collection]. Since the UAP target — that signature is not clearly defined — we really have to do hyperspectral surveillance to try to capture these incidents,” explained Phillips, who stepped into the AARO lead role when its inaugural director Sean Kirkpatrick departed last year.

The AARO team began developing the sensors and associated capabilities for Gremlin in October. 

The team is currently experimenting with Gremlin at “a very large range in Texas,” where officials have been testing the system against known drone-type targets, and some unknown targets as well, Phillips noted.

“It’s picking up a lot of bats and birds. We’re learning a lot about solar flaring. We’re really starting to understand what’s in orbit around our planet and how we can eliminate those as anomalous objects,” he said. 

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Anti-Misinformation AI Flagging Factual Stories As False.

Artificial intelligence hired by the Washington Secretary of State’s Office to monitor potential election ‘misinformation’ has flagged multiple factual stories from The Center Square regarding evidence of noncitizens illegally voting. Logically — a UK-based AI company — was contracted by the Washington Secretary of State last year to scan for “false content” on various social platforms, including X (formerly Twitter).

The state contract with Logically tasks them with using their AI tools to identify “harmful narratives” concerning Washington’s elections and generate reports for the Secretary of State’s review. Last summer, Logically generated several reports, which included stories published by The Center Square regarding Washington state’s election laws and an incident in which a foreign national avoided prosecution after illegally voting 28 times.

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Pentagon Using AI Program to Identify Targets in Middle East and Ukraine

A defense official said that US Central Command (CENTCOM) has deployed an AI program to help identify targets to bomb in Iraq, Syria, and Yemen. The US used the AI targeting system dubbed “Project Maven” to locate Russian targets that were destroyed by Ukrainian forces.  

A senior CENTCOM official speaking with Bloomberg said AI systems helped to identify alleged rocket launchers in Yemen. The outlet described the statement made by Schuyler Moore, CENTCOM chief technology officer, as the “strongest known confirmation that the US military is using the [AI] to identify enemy targets that were subsequently hit by weapons’ fire.”

“We’ve been using computer vision to identify where there might be threats,” Moore told Bloomberg. She went on to say that the program has accelerated due to the situation in Israel. “October 7th everything changed,” CENTCOM’s CTO explained.

“We immediately shifted into high gear and a much higher operational tempo than we had previously,” Moore added, saying US forces were able to make “a pretty seamless shift” to Maven after a year of digital exercises.

Chief Warrant Officer 4 Joey Temple explained the value of Maven is increasing the number of targets a soldier can sign off on. He estimates that the number of targets could be boosted from 30 to 80 per hour. 

According to Bloomberg, he “describes the process of concurring with the algorithm’s conclusions in a rapid staccato: ‘Accept. Accept. Accept.’” Moore also expressed this view, stating, “The benefit that you get from algorithms is speed.”

While Moore touted the program’s deployment, it is unclear if it has had any positive impact on achieving US goals in Yemen. Washington has admitted that recent strikes on Houthi positions have failed to erode the group’s military capabilities.

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FOR HALF A CENTURY, OUR CALCULATIONS ON NUCLEAR EXPLOSIONS IN SPACE HAVE BEEN WRONG, LOS ALAMOS SCIENTIST REVEALS

On July 9, 1962, the largest in a series of tests involving nuclear explosions in space was conducted by the United States. Dubbed Starfish Prime, the test involved the launch of a W49 thermonuclear warhead developed at Los Alamos from Johnston Atoll in the Pacific Ocean.

The warhead detonated approximately 250 miles above the Earth, producing belts of radiation as high-energy electrons became trapped, amplifying the magnitude of the natural Van Allen radiation belt and increasing the potential adverse effects of the trapped radiation.

Now, a scientist at Los Alamos National Laboratory has found a novel means of offering better protection for space technologies: by fixing mistakes in mathematical calculations related to the effects of nuclear explosions in space that have gone undetected for close to half a century.

The errors relate to our understanding of the influence electromagnetic waves exert on the dispersal of electrons that become trapped in the planet’s magnetic fields when nuclear explosions in space occur.

According to Greg Cunningham, a space scientist with Los Alamos National Laboratory, the discovery and resolution of these longstanding errors in past mathematical calculations will offer scientists an opportunity to improve protections for space technologies, particularly involving models governing the effects of radiation resulting from the detonation of nuclear devices at high altitudes.

“This allows us to make better predictions of what that threat could be and the efficacy of radiation belt remediation strategies,” Cunningham said in a recent statement.

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600-MILLION-CAMERA ‘SKYNET’ BASIS FOR NEW LUNAR SPY SYSTEM AS CHINA PURSUES SURVEILLANCE STATE BEYOND EARTH

With the world’s largest mass surveillance network already under its belt, China is now looking to establish its omnipresence off-world, with plans to extend its sophisticated “Skynet” spy network to the Moon.

The China National Space Administration (CNSA), China’s equivalent to America’s NASA, in collaboration with the Chinese Academy of Sciences and the China Aerospace Science and Technology Corporation, recently disclosed their intentions to build a massive lunar surveillance network in the Chinese journal Acta Optica Sinica. 

According to Chinese media, the People’s Republic of China (PRC) aims to secure its planned lunar base with an omnipresent optical surveillance system, drawing directly from the extensive experience and technical prowess honed through Skynet, also known as Tianwang.

“The construction and operation of the optical surveillance system for the (International) Lunar Research Station can draw on the successful experience … of China’s Skynet project,” CNSA said in its report. 

Paradoxically named for the highly advanced artificial intelligence (AI) system that becomes self-aware and tries to exterminate humanity through an army of robots and machines in the Terminator movie franchise, “Skynet” refers to an interconnected facial recognition system operated by the Chinese government. 

The Chinese Communist Party’s (CCP) flagship newspaper, the Global Times, reports Skynet’s facial recognition software has a 99.8% accuracy rate and can scan the entire population of China, 1.4 billion people, in under a second. However, these claims cannot be independently verified. 

According to the PRC, the name “Skynet” originates from an ancient Chinese proverb describing the omnipresence of justice and not from the fictional AI killing machine. “There is forever a net in the sky, with [a] large mesh but letting nothing through,” the proverb reads. 

And in fairness, the U.S. National Security Agency (NSA) also has its own “SKYNET,” a classified program that uses machine learning to extract information on possible terror suspects using GSM cellular data. 

However, the term “Skynet” is often colloquially used to describe the smothering system of mass surveillance used by the Chinese government to monitor its citizens. 

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BBC Tries To Frame AI Parody Images as a “Disinformation” Scoop

The BBC used to produce some of the best comedy series – but now many of the “comedians” seem to have moved to the news division.

To make things more perplexing, they appear not to – or not want to – understand humor. Now they (pretend?) not to understand content produced by obviously parody accounts, and (pretend?) to be taking them seriously.

So now, critically minded observers are not laughing with the BBC, but at them, especially when the BBC comes out with a deceptive podcast episode (based on parody content, falsely framed as “serious news).

The target: the highly likely US presidential candidate Donald Trump.

It’s one thing to not like Trump – but is it worth, so to speak, “burning your own house down?” In this case, what remains of BBC’s once commanding credibility?

And yet the situation is actually no laughing matter, in terms of free speech and free press. Unsatisfied with turning out questionable, in terms of bias, and just clickbaity content these last years, the BBC News would clearly like to establish itself as an arbiter of truth for other media to follow. Absurd, or what?

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US Deploys Anti-Drone Laser Systems in the Middle East to Field Test Prototypes

The Department of Defense has deployed four laser systems designed to intercept drones and rockets in the Middle East. The Pentagon has been developing a laser-style interceptor to reduce the cost of shooting down UAVs and rockets. 

Army Vice Chief of Staff Gen. James Mingus announced the new deployment of Directed Energy Maneuver Short Range Air Defense (DE M-SHORAD) prototypes to the Middle East. The Army developed the weapons system in coordination with RTX, formerly Raytheon. The former employer of Defense Secretary Lloyd Austin, RTX, has received over $100 million to develop the platform. 

DE M-SHORAD, according to RTX, is a 50-kilowatt vehicle-mounted laser designed to intercept drones, missiles, and rockets at short range. RTX and the Pentagon believe laser systems will be a cheaper alternative for downing cheap drones and rockets. 

The four interceptors deployed to the Middle East are mounted on Stryker armored vehicles. The 2024 Pentagon funding bill authorized nearly $700 million in spending on the development and procurement of DE M-SHORAD systems. 

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Drastic and Irreversible Climate Geoengineering Worries Scientists

The Earth is too hot and only getting hotter, according to governments and global bodies such as the United Nations; and the efforts to reduce carbon dioxide aren’t having enough of an effect.

“The world is passing through the 1.5°C ceiling and is headed much higher unless steps are taken to affect Earth’s energy imbalance,” James Hansen, previous director of the NASA Goddard Institute for Space Studies, said in January.

Thus, to buy more time, on Feb. 28, scientists from NASA and the National Oceanic and Atmospheric Administration (NOAA) released a report detailing a solution called “intentional stratospheric dehydration,” or in layman’s terms, flying planeloads of ice to 58,000 feet and spraying ice particles into the upper atmosphere.

“It’s a very small effect,” said lead author Joshua Schwarz, a research physicist at NOAA’s chemical sciences laboratory. “Pure water vapor doesn’t readily form ice crystals. It helps to have a seed, a dust particle, for example, for ice to form around.”

The researchers report that by dispersing small particles, or what it calls ice nuclei, into areas of the atmosphere that are both “very cold and super-saturated with water vapor,” water vapor in the atmosphere will “freeze-dry” and rain out of the atmosphere as ice crystals, cooling the planet.

The proposal is known as geoengineering—and NASA and NOAA’s joint plan is far from the only idea that’s jumped from the pages of science fiction, à la the 2013 Hollywood film “Snowpiercer,” to mainstream science.

István Szapudi, an astronomer at the University of Hawaii Institute for Astronomy, has turned to essentially geoengineering a giant parasol, or what he calls, a “tethered solar shield” to shield the Earth from a portion of the sun’s energy.

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Meta’s AI Watermarking Plan is Flimsy, At Best

In the past few months, we’ve seen a deepfake robocall of Joe Biden encouraging New Hampshire voters to “save your vote for the November election” and a fake endorsement of Donald Trump from Taylor Swift. It’s clear that 2024 will mark the first “AI election” in United States history.

With many advocates calling for safeguards against AI’s potential harms to our democracy, Meta (the parent company of Facebook and Instagram) proudly announced last month that it will label AI-generated content that was created using the most popular generative AI tools. The company said it’s “building industry-leading tools that can identify invisible markers at scale—specifically, the ‘AI generated’ information in the C2PA and IPTC technical standards.”

Unfortunately, social media companies will not solve the problem of deepfakes on social media this year with this approach. Indeed, this new effort will do very little to tackle the problem of AI-generated material polluting the election environment.

The most obvious weakness is that Meta’s system will only work if the bad actors creating deepfakes use tools that already put watermarks—that is, hidden or visible information about the origin of digital content—into their images. Unsecured “open-source” generative AI tools mostly don’t produce watermarks at all. (We use the term unsecured and put “open-source” in quotes to denote that many such tools don’t meet traditional definitions of open-source software, but still pose a threat because their underlying code or model weights have been made publicly available.) If new versions of these unsecured tools are released that do contain watermarks, the old tools will still be available and able to produce watermark-free content, including personalized and highly persuasive disinformation and nonconsensual deepfake pornography.

We are also concerned that bad actors can easily circumvent Meta’s labeling regimen even if they are using the AI tools that Meta says will be covered, which include products from Google, OpenAI, Microsoft, Adobe, Midjourney, and Shutterstock. Given that it takes about two seconds to remove a watermark from an image produced using the current C2PA watermarking standard that these companies have implemented, Meta’s promise to label AI-generated images falls flat.

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