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Categories: Engineering: Robotics Research, Geoscience: Geomagnetic Storms
Published Forensic evidence can survive underwater for weeks



Forensic fibers can survive underwater for much longer than previously thought -- which could help criminal investigators uncover vital evidence. New research has found that fiber evidence can survive on fabrics underwater for several weeks.
Published New cyber algorithm shuts down malicious robotic attack



Researchers have designed an algorithm that can intercept a man-in-the-middle (MitM) cyberattack on an unmanned military robot and shut it down in seconds. The algorithm, tested in real time, achieved a 99% success rate.
Published Unifying matter, energy and consciousness



Understanding the interplay between consciousness, energy and matter could bring important insights to our fundamental understanding of reality.
Published Researchers identify largest ever solar storm in ancient 14,300-year-old tree rings



An international team of scientists have discovered a huge spike in radiocarbon levels 14,300 years ago by analyzing ancient tree-rings found in the French Alps. The radiocarbon spike was caused by a massive solar storm, the biggest ever identified. A similar solar storm today would be catastrophic for modern technological society – potentially wiping out telecommunications and satellite systems, causing massive electricity grid blackouts, and costing us billions. The academics are warning of the importance of understanding such storms to protect our global communications and energy infrastructure for the future.
Published Could future AI crave a favorite food?



Can artificial intelligence (AI) get hungry? Develop a taste for certain foods? Not yet, but a team of researchers is developing a novel electronic tongue that mimics how taste influences what we eat based on both needs and wants, providing a possible blueprint for AI that processes information more like a human being.
Published These robots helped explain how insects evolved two distinct strategies for flight



Robots helped achieve a major breakthrough in our understanding of how insect flight evolved. The study is a result of a six-year long collaboration between roboticists and biophysicists.
Published Insect cyborgs: Towards precision movement



Insect cyborgs may sound like something straight out of the movies, but hybrid insect computer robots, as they are scientifically called, could pioneer a new future for robotics. It involves using electrical stimuli to control an insect’s movement. Now, an international research group has conducted a study on the relationship between electrical stimulation in stick insects' leg muscles and the resulting torque (the twisting force that causes the leg to move).
Published Power of rhythm as a design element in evolution and robotics



As the internet quickly fills with viral videos of futuristic robots darting and racing around like the animals they’re built to mimic, researchers say that there’s an element of their movement’s programming that should not be overlooked: rhythm.
Published Instant evolution: AI designs new robot from scratch in seconds



Researchers developed the first AI to date that can intelligently design robots from scratch by compressing billions of years of evolution into mere seconds. It's not only fast but also runs on a lightweight computer and designs wholly novel structures from scratch — without human-labeled, bias-filled datasets.
Published Unleashing the power of AI to track animal behavior


Scientists have created a non-invasive movement tracking method called GlowTrack that uses fluorescent dye markers to train artificial intelligence to capture movement, from a single mouse digit to the human hand. GlowTrack has applications spanning biology, robotics, medicine, and beyond.
Published One-hour training is all you need to control a third robotic arm, study finds


A new study has found that people can learn to use supernumerary robotic arms as effectively as working with a partner in just one hour of training.
Published Efficient training for artificial intelligence


New physics-based self-learning machines could replace the current artificial neural networks and save energy.
Published Shape-changing smart speaker lets users mute different areas of a room


A team has developed a shape-changing smart speaker, which uses self-deploying microphones to divide rooms into speech zones and track the positions of individual speakers.
Published Scientists successfully maneuver robot through living lung tissue


Scientists have shown that their steerable lung robot can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.
Published Combustion powers bug-sized robots to leap, lift and race


Researchers combined soft microactuators with high-energy-density chemical fuel to create an insect-scale quadrupedal robot that is powered by combustion and can outrace, outlift, outflex and outleap its electric-driven competitors.
Published Groundbreaking soft valve technology enabling sensing and control integration in soft robots


A research team has developed groundbreaking 'soft valve' technology -- an all-in-one solution that integrates sensors and control valves while maintaining complete softness.
Published Battery-free robots use origami to change shape in mid-air


Researchers have developed small robotic devices that can change how they move through the air by 'snapping' into a folded position during their descent. Each device has an onboard battery-free actuator, a solar power-harvesting circuit and controller to trigger these shape changes in mid-air.
Published 'Brainless' robot can navigate complex obstacles


Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a 'brainless' soft robot that can navigate more complex and dynamic environments.
Published Researchers use AI to find new magnetic materials without critical elements


A team of scientists developed a new machine learning model for discovering critical-element-free permanent magnet materials based on the predicted Curie temperature of new material combinations.
Published An 'introspective' AI finds diversity improves performance



An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.