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Technology News
“Impact printing” is a cement-free alternative to 3D-printed structures
Recently, construction company ICON announced that it is close to completing the world’s largest 3D-printed neighborhood in Georgetown, Texas. This isn’t the only 3D-printed housing project. Hundreds of 3D-printed homes are under construction in the US and Europe, and more such housing projects are in the pipeline.
There are many factors fueling the growth of 3D printing in the construction industry. It reduces the construction time; a home that could take months to build can be constructed within days or weeks with a 3D printer. Compared to traditional methods, 3D printing also reduces the amount of material that ends up as waste during construction. These advantages lead to reduced labor and material costs, making 3D printing an attractive choice for construction companies.
A team of researchers from the Swiss Federal Institute of Technology (ETH) Zurich, however, claims to have developed a robotic construction method that is even better than 3D printing. They call it impact printing, and instead of typical construction materials, it uses Earth-based materials such as sand, silt, clay, and gravel to make homes. According to the researchers, impact printing is less carbon-intensive and much more sustainable and affordable than 3D printing.
TSA silent on CrowdStrike’s claim Delta skipped required security update
Delta and CrowdStrike have locked legal horns, threatening to drag out the aftermath of the worst IT outage in history for months or possibly years.
Each refuses to be blamed for Delta's substantial losses following a global IT outage caused by CrowdStrike suddenly pushing a flawed security update despite Delta and many other customers turning off auto-updates.
CrowdStrike has since given customers more control over updates and made other commitments to ensure an outage of that scale will never happen again, but Delta isn't satisfied. The airline has accused CrowdStrike of willfully causing losses by knowingly deceiving customers by failing to disclose an unauthorized door into their operating systems that enabled the outage.
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How The New York Times is using generative AI as a reporting tool
The rise of powerful generative AI models in the last few years has led to plenty of stories of corporations trying to use AI to replace human jobs. But a recent New York Times story highlights the other side of that coin, where AI models simply become a powerful tool aiding in work that still requires humanity's unique skillset.
The NYT piece in question isn't directly about AI at all. As the headline "Inside the Movement Behind Trump’s Election Lies" suggests, the article actually reports in detail on how the ostensibly non-partisan Election Integrity Network "has closely coordinated with the Trump-controlled Republican National Committee." The piece cites and shares recordings of group members complaining of "the left" rigging elections, talking of efforts to "put Democrats on the defensive," and urging listeners to help with Republican turnout operations.
To report the piece, the Times says it sifted through "over 400 hours of conversations" from weekly meetings by the Election Integrity Network over the last three years, as well as "additional documents and training materials." Going through a trove of information that large is a daunting prospect, even for the team of four bylined reporters credited on the piece. That's why the Times says in a note accompanying the piece that it "used artificial intelligence to help identify particularly salient moments" from the videos to report on.
Election Fraud Conspiracy Theories Are Already Thriving Online
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Ban on Chinese tech so broad, US-made cars would be blocked, Polestar says
Today, Polestar electric vehicles gained access to the Tesla Supercharger network. That means US Polestar drivers have access to 17,800 more DC fast chargers than they did yesterday—once they get a NACS adapter, which can also be ordered today from their local Polestar service point. But right now, Polestar has bigger worries than expanding its charging options. Should proposed new rules banning Chinese connected-car software and hardware go into effect, they would effectively ban the automaker from the US market, the company says, including the EVs it builds in South Carolina.
The rule would ban Chinese connected-car software from US roads from model-year 2027 (midway through 2026) and Chinese connected car hardware from model-year 2030.
The ban on Chinese connected-car technology is the latest in a series of protectionist moves from the federal government and Congress. The revamped clean vehicle tax credit no longer applies to EVs made in China or with Chinese components in their battery packs, and the US Commerce Department has been pressuring Mexico to not offer generous incentives to Chinese automakers looking to set up shop nearby. Chinese-made EVs have also been subject to a 100 percent tariff since May.
Apple’s first Mac mini redesign in 14 years looks like a big aluminum Apple TV
Apple's week of Mac announcements continues today, and as expected, we're getting a substantial new update to the Mac mini. Apple's least-expensive Mac, the mini, is being updated with new M4 processors, plus a smaller design that looks like a cross between an Apple TV box and a Mac Studio—this is the mini's first major design change since the original aluminum version was released in 2010. The mini is also Apple's first device to ship with the M4 Pro processor, a beefed-up version of the M4 with more CPU and GPU cores, and it's also the Mac mini's first update since the M2 models came out in early 2023.
The cheapest Mac mini will still run you $599, which includes 16GB of RAM and 256GB of storage; as with yesterday's iMac update, this is the first time since 2012 that Apple has boosted the amount of RAM in an entry-level Mac. It's a welcome upgrade for every new Mac in the lineup that's getting it, but the $200 that Apple previously charged for the 16GB upgrade makes an even bigger difference to someone shopping for a $599 system than it does for someone who can afford a $999 or $1,299 computer.
The M4 Pro Mac mini starts at $1,399, a $100 increase from the M2 Pro version. Both models go up for preorder today and will begin arriving on November 8.
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A candy engineer explains the science behind the Snickers bar
It’s Halloween. You’ve just finished trick-or-treating and it’s time to assess the haul. You likely have a favorite, whether it’s chocolate bars, peanut butter cups, those gummy clusters with Nerds on them, or something else.
For some people, including me, one piece stands out—the Snickers bar, especially if it’s full-size. The combination of nougat, caramel, and peanuts coated in milk chocolate makes Snickers a popular candy treat.
As a food engineer studying candy and ice cream at the University of Wisconsin-Madison, I now look at candy in a whole different way than I did as a kid. Back then, it was all about shoveling it in as fast as I could.
How can you write data to DNA without changing the base sequence?
Zettabytes—that’s 1021 bytes—of data are currently generated every year. All of those cat videos have to be stored somewhere, and DNA is a great storage medium; it has amazing data density and is stable over millennia.
To date, people have encoded information into DNA the same way nature has, by linking the four nucleotide bases comprising DNA—A, T, C, and G—into a particular genetic sequence. Making these sequences is time-consuming and expensive, though, and the longer your sequence, the higher chance there is that errors will creep in.
But DNA has an added layer of information encoded on top of the nucleotide sequence, known as epigenetics. These are chemical modifications to the nucleotides, specifically altering a C when it comes before a G. In cells, these modifications function kind of like stage directions; they can tell the cell when to use a particular DNA sequence without altering the “text” of the sequence itself. A new paper in Nature describes using epigenetics to store information in DNA without needing to synthesize new DNA sequences every time.
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Ars Live: What else can GLP-1 drugs do? Join us today for a discussion.
News and talk of GLP-1 drugs are everywhere these days—from their smash success in treating Type 2 diabetes and obesity to their astronomical pricing, drug shortages, compounding disputes, and what sometimes seems like an ever-growing list of other conditions the drugs could potentially treat. There are new headlines every day.
Although the drugs have abruptly stolen the spotlight in recent years, researchers have been toiling away at developing and understanding them for decades, stretching back to the 1970s. Despite all the time and effort, the drugs still hold mysteries and unknowns. For instance, researchers thought for years that they worked directly in the gut to decrease blood sugar levels and make people feel full. After all, the drugs mimic an incretin hormone, glucagon-like peptide-1, that does exactly that. But, instead, studies have since found that they work in the brain.
In fact, the molecular receptors for GLP-1 are sprinkled in many places around the body. They're found in the central nervous system, the heart, blood vessels, liver, and kidney. Their presence in the brain even plays a role in inflammation. As such, research on GLP-1 continues to flourish as scientists work to understand the role it could play in treating a range of other chronic conditions.