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Categories: Engineering: Robotics Research, Geoscience: Earthquakes

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Artificial intelligence (AI) is hot right now. Also hot: the data centers that power the technology. And keeping those centers cool requires a tremendous amount of energy. The problem is only going to grow as high-powered AI-based computers and devices become commonplace. That's why researchers are devising a new type of cooling system that promises to dramatically reduce energy demands.

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The praying mantis is one of the few insects with compound eyes and the ability to perceive 3D space. Engineers are replicating their visual systems to make machines see better.

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Engineers have shown that something as simple as the flow of air through open-cell foam can be used to perform digital computation, analog sensing and combined digital-analog control in soft textile-based wearable systems.

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The way oil drops break up at the water's surface means some oil may not get cleaned up after a spill.

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Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.

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Scientists have developed a tiny 'claw machine' that is able to pick up and drop a marble-sized ball in response to exposure to chemical vapors. The findings point to a technique that can enable soft actuators--the parts of a machine that make it move--to perform multiple tasks without the need for additional costly materials. While existing soft actuators can be 'one-trick ponies' restricted to one type of movement, this novel composite film contorts itself in different ways depending on the vapor that it is exposed to.

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Engineers have trained a humanoid robot to perform a variety of expressive movements, from simple dance routines to gestures like waving, high-fiving and hugging, all while maintaining a steady gait on diverse terrains. This work marks a step towards building robots that perform more complex and human-like motions.

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Engineers have developed a new soft, flexible device that makes robots move by expanding and contracting -- just like a human muscle. To demonstrate their new device, called an actuator, the researchers used it to create a cylindrical, worm-like soft robot and an artificial bicep. In experiments, the cylindrical soft robot navigated the tight, hairpin curves of a narrow pipe-like environment, and the bicep was able to lift a 500-gram weight 5,000 times in a row without failing.

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Everyday clothing may soon be able to capture and record body movements according to new research.

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With a new surgical intervention and neuroprosthetic interface, researchers restored a natural walking gait in people with amputations below the knee. Seven patients were able to walk faster, avoid obstacles, and climb stairs more naturally than people with a traditional amputation.

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Computer scientists have invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time.

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Researchers have developed nanorobots that kill cancer cells in mice. The robot's weapon is hidden in a nanostructure and is exposed only in the tumour microenvironment, sparing healthy cells.

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A research team has developed an optimal artificial intelligence model to predict the yield strength of various metals, effectively addressing traditional cost and time limitations.

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Researchers have developed a tiny robot replicating the aerial dance of falling maple seeds. In the future, this robot could be used for real-time environmental monitoring or delivery of small samples even in inaccessible terrain such as deserts, mountains or cliffs, or the open sea. This technology could be a game changer for fields such as search-and-rescue, endangered species studies, or infrastructure monitoring.

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Scientists predict from geochemical data that Iceland is entering a new volcanic era that will last for decades, possibly centuries. Under an hour's drive from the country's capital city, the ongoing eruptions pose considerable risks for economic disruption, and they leave evacuated communities uncertain of a possible return.

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Researchers have found a way to bind engineered skin tissue to the complex forms of humanoid robots. This brings with it potential benefits to robotic platforms such as increased mobility, self-healing abilities, embedded sensing capabilities and an increasingly lifelike appearance. Taking inspiration from human skin ligaments, the team included special perforations in a robot face, which helped a layer of skin take hold.

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Meet CARMEN, short for Cognitively Assistive Robot for Motivation and Neurorehabilitation -- a small, tabletop robot designed to help people with mild cognitive impairment (MCI) learn skills to improve memory, attention, and executive functioning at home.

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A major earthquake 2,500 years ago caused one of the largest rivers on Earth to abruptly change course, according to a new study. The previously undocumented quake rerouted the main channel of the Ganges River in what is now densely populated Bangladesh, which remains vulnerable to big quakes.

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Brain-computer interfaces or BCIs hold immense potential for individuals with a wide range of neurological conditions, but the road to implementation is long and nuanced for both the invasive and noninvasive versions of the technology. Scientists have now successfully integrated a novel focused ultrasound stimulation to realize bidirectional BCI that both encodes and decodes brain waves using machine learning in a study with 25 human subjects. This work opens up a new avenue to significantly enhance not only the signal quality, but also, overall nonivasive BCI performance by stimulating targeted neural circuits.

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A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.