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Archive for the ‘mapping’ category: Page 31

Aug 23, 2022

Bionic underwater vehicle inspired by fish with enlarged pectoral fins

Posted by in categories: cyborgs, mapping, robotics/AI, transhumanism, transportation

Underwater robots are being widely used as tools in a variety of marine tasks. The RobDact is one such bionic underwater vehicle, inspired by a fish called Dactylopteridae known for its enlarged pectoral fins. A research team has combined computational fluid dynamics and a force measurement experiment to study the RobDact, creating an accurate hydrodynamic model of the RobDact that allows them to better control the vehicle.

The team published their findings in Cyborg and Bionic Systems on May 31, 2022.

Underwater robots are now used for many marine tasks, including in the fishery industry, underwater exploration, and mapping. Most of the traditional underwater robots are driven by a propeller, which is effective for cruising in at a stable speed. However, underwater robots often need to be able to move or hover at low speeds in turbulent waters, while performing a specific task. It is difficult for the propeller to move the robot in these conditions. Another factor when an is moving at low speeds in unstable flowing waters is the propeller’s “twitching” movement. This twitching generates unpredictable fluid pulses that reduce the robot’s efficiency.

Aug 16, 2022

Uncovering nature’s patterns at the atomic scale in living color

Posted by in categories: information science, mapping, robotics/AI

Color coding makes aerial maps much more easily understood. Through color, we can tell at a glance where there is a road, forest, desert, city, river or lake.

Working with several universities, the U.S. Department of Energy’s (DOE) Argonne National Laboratory has devised a method for creating color-coded graphs of large volumes of data from X-ray analysis. This new tool uses computational data sorting to find clusters related to physical properties, such as an atomic distortion in a . It should greatly accelerate future research on structural changes on the atomic scale induced by varying temperature.

The research team published their findings in the Proceedings of the National Academy of Sciences in an article titled “Harnessing interpretable and unsupervised to address big data from modern X-ray diffraction.”

Aug 16, 2022

Powerful Radio Pulses Originating Deep in the Cosmos Probe Hidden Matter Around Galaxies

Posted by in categories: mapping, space

Powerful cosmic radio pulses originating deep in the universe can be used to study hidden pools of gas cocooning nearby galaxies, according to a new study that was published last month in the journal Nature Astronomy.

So-called fast radio bursts, or FRBs, are pulses of radio waves that typically originate millions to billions of light-years away. (Radio waves are electromagnetic radiation like the light we see with our eyes but have longer wavelengths and lower frequencies). The first FRB was discovered in 2007, and since then, hundreds more have been detected. In 2020, Caltech’s STARE2 instrument (Survey for Transient Astronomical Radio Emission 2) and Canada’s CHIME (Canadian Hydrogen Intensity Mapping Experiment) detected a massive FRB that went off in our own Milky Way galaxy. Those earlier findings helped confirm the theory that the energetic events most likely originate from dead, magnetized stars called magnetars.

As more and more FRBs roll in, scientists are now investigating how they can be used to study the gas that lies between us and the bursts. Specifically, they would like to use the FRBs to probe halos of diffuse gas that surround galaxies. As the radio pulses travel toward Earth, the gas enveloping the galaxies is expected to slow the waves down and disperse the radio frequencies. In the new study, the research team looked at a sample of 474 distant FRBs detected by CHIME, which has discovered the most FRBs to date. They showed that the subset of two dozen FRBs that passed through galactic halos were indeed slowed down more than non-intersecting FRBs.

Aug 14, 2022

Visual-Inertial Multi-Instance Dynamic SLAM with Object-level Relocalisation

Posted by in categories: electronics, mapping

Simultaneous Localisation and Mapping (SLAM) is a task of simultaneously estimating the sensor pose as well as the surrounding scene geometry. However, most existing SLAM systems are designed for the static world, which is unrealistic.

A recent paper on arXiv.org proposes a robust object-level dynamic SLAM system.

Aug 7, 2022

New mapping method could aid exploration of moon, Mars and beyond

Posted by in categories: mapping, mathematics, space

Researchers find mathematical trick to combining planetary surface data.


Researchers have discovered a method for making high-resolution maps of planetary surfaces like the moon’s by combining available imagery and topography data.

Mapping the complex and diverse surface of a world like the moon in detailed resolution is challenging because laser altimeters, which measure changes in altitudes, operate at much lower resolution than cameras. And although photographs offer a sense of surface features, it’s difficult to translate images into specific heights and depths.

Aug 4, 2022

Underwater Robots Get a Boost in Mapping the Ocean

Posted by in categories: mapping, robotics/AI

A model for autonomous underwater robots could help them navigate previously-unexplored waters.

Aug 3, 2022

Visualising sigma orbitals opens path to new understanding of surface chemistry

Posted by in categories: chemistry, mapping

Photoemisssion orbital tomography extended beyond pi orbitals.


Figure

Experimentally-generated map of copper surface using photoemission orbital tomography (top left) and the projected densities of states of σ and π orbitals (top right). The bianthracene investigated in the study (bottom left) and maps of its σ orbitals (bottom middle, right)

Continue reading “Visualising sigma orbitals opens path to new understanding of surface chemistry” »

Jul 30, 2022

A ‘consciousness conductor’ synchronizes and connects mouse brain areas

Posted by in categories: bioengineering, genetics, mapping, neuroscience

For scientists searching for the brain’s ‘control room, an area called the claustrum has emerged as a compelling candidate. This little-studied deep brain structure is thought to be the place where multiple senses are brought together, attention is controlled, and consciousness arises. Observations in mice now support the role of the claustrum as a hub for coordinating activity across the brain. New research from the RIKEN Center for Brain Science (CBS) shows that slow-wave brain activity, a characteristic of sleep and resting states, is controlled by the claustrum. The synchronization of silent and active states across large parts of the brain by these slow waves could contribute to consciousness.

A serendipitous discovery actually led Yoshihiro Yoshihara, team leader at CBS, to investigate the claustrum. His lab normally studies the sense of smell and the detection of pheromones, but they chanced upon a genetically engineered mouse strain with a specific population of brain cells that was present only in the claustrum. These neurons could be turned on using optogenetic technology or selectively silenced through , thus enabling the study of what turned out to be a vast, claustrum-controlled network. The study by Yoshihara and colleagues was published in Nature Neuroscience on May 11.

They started out by mapping the claustrum’s inputs and outputs and found that many higher-order brain areas send connections to the claustrum, such as those involved in sensation and motor control. Outgoing connections from the claustrum were broadly distributed across the brain, reaching numerous brain areas such as prefrontal, orbital, cingulate, motor, insular, and entorhinal cortices. “The claustrum is at the center of a widespread brain network, covering areas that are involved in cognitive processing,” says co-first author Kimiya Narikiyo. “It essentially reaches all higher brain areas and all types of neurons, making it a potential orchestrator of brain-wide activity.”

Jul 30, 2022

Networks in the brain: mapping the connectome

Posted by in categories: mapping, neuroscience

Facebook.


Part of the cognitive neuroscience bitesize series. This is a follow-up of ‘basics of fMRI’ that considers exciting developments in mapping the human connect…

Jul 29, 2022

A hyperparameter optimization library for reproducible research

Posted by in categories: mapping, robotics/AI

The table also shows the average normalized rank of transfer learning approaches. Hyperparameter transfer learning uses evaluation data from past HPO tasks in order to warmstart the current HPO task, which can result in significant speed-ups in practice.

Syne Tune supports transfer-learning-based HPO via an abstraction that maps a scheduler and transfer learning data to a warmstarted instance of the former. We consider the bounding-box and quantile-based ASHA, respectively referred to as ASHA-BB and ASHA-CTS. We also consider a zero-shot approach (ZS), which greedily selects hyperparameter configurations that complement previously considered ones, based on historical performances; and RUSH, which warmstarts ASHA with the best configurations found for previous tasks. As expected, we find that transfer learning approaches accelerate HPO.

Our experiments show that Syne Tune makes research on automated machine learning more efficient, reliable, and trustworthy. By making simulation on tabulated benchmarks a first-class citizen, it makes hyperparameter optimization accessible to researchers without massive computation budgets. By supporting advanced use cases, such as hyperparameter transfer learning, it allows better problem solving in practice.

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