Lifeboat Foundation: Safeguarding Humanity
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A joint team of researchers led by scientists at King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has reported the fastest quantum random number generator (QRNG) to date based on international benchmarks. The QRNG, which passed the required randomness tests of the National Institute of Standards and Technology, could produce random numbers at a rate nearly a thousand times faster than other QRNG.

“This is a significant leap for any industry that depends on strong data security,” said KAUST Professor Boon Ooi, who led the study, which is published in Optics Express. KAUST Professor Osman Bakr also contributed to the study.

Random number generators are critical for industries that depend on security, such as health, finance, and defense. But the random number generators currently used are vulnerable because of an intrinsic flaw in their design.

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Tête de Moine, a semi-hard Swiss cheese that often finds its way onto charcuterie boards and salads, not only brings a rich, nutty and creamy flavor, but also adds a dramatic flare to the presentation. Instead of slicing, this cheese is shaved into delicate rosettes using a tool called a Girolle whose rotating blade gently scrapes thin layers of cheese into ruffled curls. These pretty cheese flowers are known to enhance the flavor and texture due to their high surface-to-volume ratio.

The unusual way Tête de Moine forms wrinkles when shaved, piqued the interest of a team of physicists who, in a study published in Physical Review Letters, set out to investigate the physical mechanisms behind these intricate shapes.

Similar morphogenetic patterns can be observed in the frilly edges of leaves, fungi, corals, or even torn , but the mechanisms that explain the similar shapes in these materials fail to account for the distinctive physical properties of .

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Quarks unexpectedly breaking symmetry in a recent experiment may transform our fundamental understanding of matter and the forces that hold it together. Mississippi State University Professor of Physics Dipangkar Dutta is leading a groundbreaking experiment that is reshaping our understanding of

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The world is ending and only the whales know. At least, that’s one explanation. Humpback whales are normally pretty solitary—scientists used to call groups of 10 to 20 “large.” Now they’re congregating in groups of 20 to 200 off the coast of South Africa. Something is definitely going on here, but so far experts are stumped.

In fact, Humpback whales aren’t supposed to be hanging out in that region in the first place. Humpbacks migrate up to tropical waters to breed, but they typically feed down south in the icy waters of Antarctica this time of year. Yet scientific expeditions keep seeing these super-pods (not to be confused with super PACs, which are equally giant but much more dangerous), which were finally compiled and published at the beginning of March in the journal PLOSone. The researchers have a few ideas about why the humpbacks are organizing, but no clear answers yet. So far the consensus seems to be: this is pretty freakin’ weird.

Most of the whales seem to be young, begging the question of whether the western coast of South Africa is like the humpback version of the local mall for tween whales. They’re just looking for a fishy Orange Julius, or perhaps a krill-based Panda Express to hang out at on a Saturday afternoon. Because it’s not like 200 whales—each weighing about 65,000 pounds —can feed just anywhere.

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Persons with Parkinson’s disease increasingly lose their mobility over time and are eventually unable to walk. Hope for these patients rests on deep brain stimulation, also known as a brain pacemaker.

In a current study, researchers at Ruhr University Bochum and Philipps-Universität Marburg, Germany, investigated whether and how stimulation of a certain region of the brain can have a positive impact on ambulatory ability and provide patients with a higher quality of life. To do this, the researchers used a technique in which the are activated and deactivated via light. Their report is published in the journal Scientific Reports.

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Researchers led by Maike Sander, Scientific Director of the Max Delbrück Center, have developed a vascularized organoid model of hormone secreting cells in the pancreas. The advance, published in “Developmental Cell,” promises to improve diabetes research and cell-based therapies.

An international team of researchers led by Max Delbrück Center Scientific Director Professor Maike Sander has for the first time developed an organoid model of human pluripotent stem cell-derived pancreatic islets (SC-islets) with integrated vasculature. Islets are cell clusters in the pancreas that house several different types of hormone-secreting cells, including insulin-producing beta cells. Researchers in the Sander lab at the University of California, San Diego, found that SC-islet organoids with blood vessels contained greater numbers of mature beta cells and secreted more insulin than their non-vascularized counterparts. The vascularized organoids more closely mimicked islet cells found in the body. The study was published in “Developmental Cell.”

“Our results highlight the importance of a vascular network in supporting pancreatic islet cell function,” says Sander. “This model brings us closer to replicating the natural environment of the pancreas, which is essential for studying diabetes and developing new treatments.”

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Google DeepMind has developed a groundbreaking AI that can solve complex real-world problems like delivery planning and route optimization without needing exact answers or perfect data. By integrating a method called MCMC layers into neural networks, the system learns to make smart, flexible decisions in real time—even under tough constraints. This new approach outperforms older models and could transform industries like logistics, healthcare scheduling, and city traffic management.

🤖 What’s Inside:
DeepMind’s New AI That Solves Real-World Problems Without Exact Data.
https://arxiv.org/abs/2505.14240
How MCMC Layers Make Neural Networks Smarter at Planning.
AI vs Classical Methods in Solving NP-Hard Logistics Tasks.

🎥 What You’ll See:
Why traditional AI fails at scheduling and delivery planning.
How Google’s new AI tackles chaotic, constraint-heavy problems in milliseconds.
The secret behind MCMC layers and simulated annealing in neural networks.
Real-world results that could reshape logistics, healthcare, and urban planning.

📊 Why It Matters:
This isn’t about smarter chatbots—it’s about AI solving the hardest real-life decisions with speed and flexibility. From dynamic routing to hospital schedules, DeepMind’s breakthrough shows AI can finally plan like a pro—even with messy, incomplete data.

#ai #deepmind #google

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As you glide through the neon-lit streets high above the city, this ambient music will help you find tranquility and peace. Whether you’re looking for relaxation stress relief, focus music for studying, or sleep music to unwind at night, this atmospheric soundtrack will transport you into a cyberpunk dreamscape.

Perfect for working, studying, or simply relaxing after a long day, the calming ambient music and distant city noises create a stress-free environment that helps you unwind and reconnect with your thoughts.

✨ Allow the futuristic sounds and gentle dark ambient vibes to provide relaxation stress relief, and guide you into a peaceful state for deep focus or restful sleep. ✨

💜 Don’t forget to like, subscribe, and hit the bell for more cyberpunk & space ambiance! 🎧

🎼 Music by Gwen Rice.

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The mechanically activated cation channels PIEZO1 and PIEZO2 are crucial for mechanotransduction processes in mammals. This Review discusses the structural design and gating dynamics of PIEZO channels that enable their high mechanosensitivity, and highlights their physiological and pathological relevance.

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