Lifeboat Foundation: Safeguarding Humanity
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Hydrogen is increasingly gaining attention as a promising energy source for a cleaner, more sustainable future. Using hydrogen to meet the energy demands for large-scale applications such as utility infrastructure will require transporting large volumes via existing pipelines designed for natural gas.

But there’s a catch. Hydrogen can weaken the that these pipelines are made of. When hydrogen atoms enter the steel, they diffuse into its microstructure and can cause the metal to become brittle, making it more susceptible to cracking. Hydrogen can be introduced into the steel during manufacturing, or while the pipeline is in service transporting oil and gas.

To better understand this problem, researcher Tonye Jack used the Canadian Light Source (CLS) at the University of Saskatchewan (USask) to capture a 3D view of the cracks formed in steels. Researchers have previously relied on two-dimensional imaging techniques, which don’t provide the same rich detail made possible with synchrotron radiation.

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Chibueze Amanchukwu wants to fix batteries that haven’t been built yet. Demand for batteries is on the rise for EVs and the grid-level energy storage needed to transition Earth off fossil fuels. But more batteries will mean more of a dangerous suite of materials used to build them: PFAS, also known as “forever chemicals.”

“To address our needs as a society for electric vehicles and energy storage, we are coming up with more ,” said Amanchukwu, Neubauer Family Assistant Professor of Molecular Engineering in the UChicago Pritzker School of Molecular Engineering (UChicago PME). “You can see the dilemma.”

PFAS are a family of thousands of chemicals found in batteries but also everything from fast food wrappers and shampoo to firefighting foam and yoga pants. They keep scrambled eggs from sticking to pans and rain from soaking into jackets and paint, but the same water resistance that makes them useful also make them difficult to remove when they get into the water supply. This earned them the nickname “forever chemicals.”

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Large Language Models (LLMs) have rapidly become an integral part of our digital landscape, powering everything from chatbots to code generators. However, as these AI systems increasingly rely on proprietary, cloud-hosted models, concerns over user privacy and data security have escalated. How can we harness the power of AI without exposing sensitive data?

A recent study, “Entropy-Guided Attention for Private LLMs,” by Nandan Kumar Jha, a Ph.D. candidate at the NYU Center for Cybersecurity (CCS), and Brandon Reagen, Assistant Professor in the Department of Electrical and Computer Engineering and a member of CCS, introduces a novel approach to making AI more secure.

The paper was presented at the AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI 25) in early March and is available on the arXiv preprint server.

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Most computers run on microchips, but what if we’ve been overlooking a simpler, more elegant computational tool all this time? In fact, what if we were the computational tool?

As crazy as it sounds, a future in which humans are the ones doing the computing may be closer than we think. In an article published in IEEE Access, Yo Kobayashi from the Graduate School of Engineering Science at the University of Osaka demonstrates that living tissue can be used to process information and solve complex equations, exactly as a computer does.

This achievement is an example of the power of the computational framework known as , in which data are input into a complex “reservoir” that has the ability to encode rich patterns. A computational model then learns to convert these patterns into meaningful outputs via a neural network.

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More than seven years ago, cybersecurity researchers were thoroughly rattled by the discovery of Meltdown and Spectre, two major security vulnerabilities uncovered in the microprocessors found in virtually every computer on the planet.

Perhaps the scariest thing about these vulnerabilities is that they didn’t stem from typical software bugs or physical CPU problems, but from the actual processor architecture. These attacks changed our understanding of what can be trusted in a system, forcing to fundamentally reexamine where they put resources.

These attacks emerged from an optimization technique called “speculative execution” that essentially gives the processor the ability to execute multiple instructions while it waits for memory, before discarding the instructions that aren’t needed.

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A joint research team has successfully developed a next-generation soft robot based on liquid. The research was published in Science Advances.

Biological cells possess the ability to deform, freely divide, fuse, and capture foreign substances. Research efforts have long been dedicated to replicating these unique capabilities in artificial systems. However, traditional solid-based robots have faced limitations in effectively mimicking the flexibility and functionality of living cells.

To overcome these challenges, the joint research team successfully developed a particle-armored liquid robot, encased in unusually dense hydrophobic (water-repelling) particles.

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Scientists from TU Delft and EPFL have created a quadruped robot capable of running like a dog without the need for motors. This achievement, a product of combining innovative mechanics with data-driven technology, was published in Nature Machine Intelligence and could pave the way for energy-efficient robotics.

“Commercial quadruped robots are becoming more common, but their energy inefficiency limits their operating time,” explains Cosimo Della Santina, assistant professor at TU Delft. “Our goal was to address this issue by optimizing the robot’s mechanics by mimicking the efficiency of biological systems.”

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A new study published in Frontiers in Computer Science investigated if placing smartphones just out of our reach while we’re at work influenced device use for activities not related to work.

“The study shows that putting the smartphone away may not be sufficient to reduce disruption and procrastination, or increase focus,” said the paper’s author Dr. Maxi Heitmayer, a researcher at the London School of Economics. “The problem is not rooted within the device itself, but in the habits and routines that we have developed with our devices.”

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In a potential step toward sending small spacecraft to the stars, researchers have developed an ultra-thin, ultra-reflective membrane designed to ride a column of laser light to incredible speeds.

Since its launch in 1977, NASA’s Voyager 1 spacecraft has traveled over 15 billion miles into deep space. That’s a long way—but it’s not even 1% of the distance to Alpha Centauri, the nearest star to the sun. If humans are going to send ships to the stars, space travel will have to get a lot faster.

One promising way to pick up that kind of speed is a “”—a thin, reflective membrane that can be pushed by light much the same way that wind pushes a sailboat. Lightsails have the potential to reduce flight time to nearby stars from several thousand years using current propulsion systems to perhaps just a decade or two.

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