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Scientists Discover Way to Send Information into Black Holes Without Using Energy

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Revolutionizing Wearable Health Tech: The X-Sig Sensor that Fuses Multiple Physiological Signals

Monitoring health and disease in real-time is a cornerstone of modern medicine. For decades, healthcare professionals and researchers have relied on multiple devices to track various physiological signals, such as heart activity, muscle movement, and blood pressure. However, traditional wearable electronics often face significant limitations: separate sensors for each physiological signal lead to bulky designs, higher energy consumption, and increased data bandwidth requirements. Enter the X-Sig sensor, an innovative wearable technology developed by Yuxin Liu and their team, which promises to transform how we monitor health by combining multiple signals into a single, efficient platform. The Challenge with Conventional Wearables Current wearable devices typically require multiple independent sensors to measure different physiological modalities. For example, electrocardiography (ECG) sensors track heart activity, electromyography (EMG) sensors detect muscle activity, and force sensors...

This Technology Could Save Millions From Cyberattacks Protecting Against Unknown Digital Threats

In an age where manufacturing is becoming increasingly digital and interconnected, the risk of cyberattacks on factories and production lines is growing. From electronics and cars to spacecraft and biomedical devices, modern manufacturing is vulnerable to malicious actors who can compromise production quality, disrupt supply chains, and even threaten national security. Recognizing this risk, Rajiv Malhotra , associate professor of Mechanical and Aerospace Engineering at Rutgers University , and a team of students and researchers are pioneering a solution: using digital twins to enhance the resilience of manufacturing systems against cyberattacks. The Growing Threat of Cyberattacks in Manufacturing Modern manufacturing relies heavily on digital systems, connectivity, and automation. While these advancements have increased efficiency and precision, they have also introduced new vulnerabilities. Malware or cyberattacks targeting these systems can subtly alter the geometry of a part or in...

How Young Galaxies Grew Magnetic Fields Faster Than Expected?

Magnetic fields are invisible threads weaving through galaxies, shaping the behavior of stars, gas, and plasma. For decades, astronomers believed that forming these vast, ordered magnetic fields across thousands of light-years would take billions of years. Yet, recent observations of young galaxies tell a different story: they already host strong magnetic fields much earlier than theory predicts. How is this possible? A new study published in Physical Review Letters offers a fascinating explanation, suggesting that galaxy formation itself may accelerate magnetic field growth far faster than previously thought. The Cosmic Puzzle of Magnetic Fields Almost all visible matter in the universe exists in the form of plasma—a hot, ionized gas made up of charged particles. Plasma is highly responsive to magnetic and electric forces, and its motion can stir existing magnetic fields. Scientists have long used the dynamo theory to explain the origin of cosmic magnetic fields. According to this t...

Scientists Create First Artificial Neuron That Can Communicate With the Human Brain

In a breakthrough that could reshape the future of medicine and computing, researchers have developed the first artificial neuron capable of communicating using the same electrical language as living human cells. This achievement bridges a long-standing gap between electronics and biology, opening the door to smarter medical devices, advanced brain–machine interfaces, and energy-efficient computing systems. The study, led by Jun Yao at University of Massachusetts Amherst, demonstrates how artificial circuits can finally operate within the same voltage range as biological neurons—something scientists have been trying to achieve for decades. A Major Breakthrough in Artificial Neurons Artificial neurons are electronic systems designed to mimic how real neurons in the brain send signals. While previous versions could imitate some behaviors, they relied on much higher voltages, making direct communication with living cells nearly impossible. This new artificial neuron changes that. Inside ...

World’s Fastest Living Robot Built Using Self-Trained Muscles

In a breakthrough that could reshape the future of robotics, researchers at the National University of Singapore (NUS) have created a system where lab-grown muscle tissues train themselves—without any external stimulation. This innovation has led to the development of a record-breaking biohybrid robot that is faster, stronger, and more efficient than ever before. A New Way to Build Stronger Living Machines For years, scientists have been trying to build robots powered by living muscle cells instead of traditional motors. These “biohybrid robots” are soft, quiet, and energy-efficient, making them ideal for delicate tasks. However, one major challenge has held the field back: weak muscle strength. The NUS research team, led by Assistant Professor Tan Yu Jun, tackled this problem with a simple yet powerful idea—let the muscles train themselves. Instead of using external electrical stimulation or complex training systems, the researchers designed a platform where two muscle tissues are co...

Humanoid Robots Learn to Play Tennis Like Humans With New Innovative System

For decades, roboticists have faced a significant challenge: teaching humanoid robots to perform athletic sports skills with the same fluidity, precision, and speed as humans. Sports like tennis demand highly dynamic motion, rapid reactions, and accurate control—qualities that traditional robots struggle to achieve. While some progress has been made in areas like table tennis and football, robots have typically been limited in agility and realism, often relying on highly controlled environments or simplified tasks. Now, researchers in China have developed an innovative system that pushes humanoid robots closer to real-world athletic performance. This new approach, described in a recent preprint paper on arXiv, shows that robots can learn tennis skills effectively even from imperfect, fragmentary human motion data. This represents a shift from previous methods that tried to replicate full human motion, which often proved too complex or physically unfeasible for humanoid robots. The ...

How Dark Matter Affects Black Holes

Black holes are some of the most mysterious and fascinating objects in the universe. They are regions in space where gravity is so strong that nothing—not even light—can escape. For a long time, scientists studied black holes mainly to test Einstein’s theory of general relativity, which explains how gravity works. But now, black holes are also being used to learn about another cosmic mystery: dark matter . Dark matter is invisible and does not emit light, but it makes up about 27% of the universe. We cannot see it directly, yet its gravity affects stars, galaxies, and even black holes. Studying how dark matter interacts with black holes can help us understand this mysterious substance in a way that was never possible before. Why Black Holes Are Special Black holes are not just empty points in space. They bend spacetime around them, which affects how matter, light, and even time behave. This bending of spacetime creates unique phenomena such as the photon sphere , where light can orbit ...