A Scientific Research Vault
Researchers at Technical University of Denmark have found an interesting connection between how humans learn and how computers learn. It talks about a special shape in math called convexity. This shape might help us understand how our brains and computer programs figure out ideas and understand things around us.
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Isaac Newton figured out how gravity behaves way back in the 1600s. He could describe what it did, how apples fall, how planets move, but he didn’t really know why it worked. Even he wasn’t totally satisfied with it. One of his ideas was that maybe invisible particles were pushing things together from all directions. That didn’t hold up, but the question remained, how does gravity actually happen?
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Imagine you’re standing on a road where cars drive in both directions. Generally, the speed limit is the same whether you’re heading north or south. That’s exactly how light usually works in most systems, the “speed limit” stays the same no matter which way it’s going. This is called reciprocal control, the system treats both directions equally.
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A team of biologists and robotic engineers recently used virtual reality (VR) to crack the code of how fish school, with the goal of teaching robots to swarm in the same way. Imagine you’re at a party where everyone’s dancing to the same rhythm, but there’s no DJ or leader telling people what to do. Everyone just knows how to stay in sync, avoid bumping into each other, and respond to changes in the crowd. That’s basically what schools of fish do, and it’s something that robots have struggled to…
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Drones that we see today are very well equipped with focusing systems that allow for high-resolution imaging, precise navigation, and advanced object tracking capabilities. However, when it comes to executing sharp turns, a key limitation of today’s drones, the tech is still in its early stages of development.
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Northwestern engineers have come up with something pretty wild, a pacemaker so small it can fit inside the tip of a syringe. Not only that, but it’s wireless, dissolves inside the body after doing its job, and can be injected without surgery.
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Whenever I find myself really fascinated by biomimicry, I often discover new things inspired by it. This time, it’s a robotic hand that takes ideas from how ants work. Imagine you’re picking up a slippery soda can with a simple two-finger robot gripper. No suction cups, no fancy sensors, just friction. Sounds tricky, right? That’s exactly the kind of challenge researchers tackled by taking inspiration from “ants”.
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Quantum criticality in metals is an exciting area of study where physics explores mysterious concepts. A new study in Nature Communications looks at a unique way to understand entanglement at a specific point called the Kondo destruction quantum critical point (QCP). Instead of using standard methods, the researchers focus on concepts like mutual information and quantum Fisher information (QFI) to explore how quantum connections change as they get closer to this transition.
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Quantum computing is one of the most promising technological frontiers, but it comes with a major challenge, which is, maintaining the extreme cold temperatures that is required for qubits to function. Today’s quantum computers rely on dilution refrigerators, complex and highly specialized cooling systems that keep qubits operating near absolute zero. However, these systems are expensive, tough to maintain and don’t scale easily.
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Two-dimensional (2D) semiconductors hold enormous potential to transform the future of electronics. However, their full potential is hindered by a major challenge: interface defects that form between the semiconductors and insulating layers, which degrade overall performance.
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Globally, electronics engineers are busy developing devices that are flexible, adaptable, and built for high performance. These devices are designed for real-world applications, including – robotics, healthcare and wearable technology. Similar efforts are underway in developing smart textiles as well. Interestingly, these fabrics can detect environmental changes or perform specific functions.
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A self-driving car approaches a street with a parked car and a cyclist waiting to cross. The car detects the cyclist moving but has difficulty judging the distance and speed of both the stationary parked car and the slow-moving cyclist, leading it to miscalculate the necessary response and causing a collision. This is similar to how some insects see the world: their eyes are good at noticing movement and seeing a lot at once, but they struggle to tell how far away things are. However, this is not the case…
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We are constantly surrounded by electronics. From LEDs to batteries, these electronics have become part of our lives. And so, more advanced and intricate components are needed to make them more efficient and reliable. However, as these components become increasingly sophisticated, getting reliable temperature measurements of specific elements inside an object can be a challenge.
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Of all the things in movie, Dune, I particularly got fascinated with the idea how the people used those suits to recycle sweat and urine into drinkable water. It got me thinking: why can’t we make this tech a reality? Well, it turns out researchers at Cornell University are on it! They’ve developed a prototype for a new urine collection and filtration system for spacesuits. Isn’t that awesome?
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Super-thin and flexible electronics are here to stay. This tech will not only create but it will also revolutionize the use of gadgets. Since, it leads to unlimited possibilities for innovative and practical applications. Some of the them include but not limited to – wearable tech, portability, healthcare applications, space probes etc.
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