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An international team of researchers has observed part of the formation of a dwarf galaxy, helping to explain how they evolve from a dwarf state to maturity. In their paper published in the journal Nature, the group describes finding evidence of maturation in such galaxies.

Prior research has shown that there are dwarf galaxies in the universe. Such galaxies are typically made up of just a few billion stars, as compared to mature galaxies such as the Milky Way, which have 200 to 400 billion stars. Prior research has also suggested that some dwarf galaxies might evolve to become more mature galaxies, but how that might happen has not been clear. In this new effort, the researchers focused the AstroSat space-based telescope on several blue compact dwarf galaxies, which are calculated to be approximately 1.5 to 3.9 billion light-years from Earth. The team then used the ultraviolet imaging telescope aboard AstroSat, which is India’s first multi-wavelength space telescope, to look for evidence of star formation activity.

Prior efforts to observe in dwarf galaxies have been hindered by their low luminosities, and the low mass of the objects they contain. These problems have been overcome with AstroSat due to the high resolving power of its and because of its ability to capture multiple wavelengths of light at the same time, and also because it was fitted with UV deep field imaging technology.

From top-left to bottom right: Joel Reed, Tom Ryden, Andra Keay, Jeff Burnstein, Matt Johnson-Roberson and Ritch Ramey joined Congressman Mike Doyle for a robotics roundtable discussion. | Source: Carnegie Mellon University.

Carnegie Mellon University held a robotics caucus virtual roundtable last week with leaders from the U.S. robotics industry. The roundtable discussed the future of the industry and how the U.S. can keep up with the pace of the global industry.

The following speakers took part in the roundtable:

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A US Robotics company is adding new artificial intelligence anomaly detection capabilities to its autonomous Scout System drone. A leading US provider of private wireless data, drone and automated data has announced that the new containment capabilities will enable oil and gas customers to minimize environmental risks, clean-up costs, fines, and litigation expenses.

Suasnews.com reports that the loss of containment analytics feature will accelerate early detection and location of crude oil leaks before they become critical to customers by providing frequent, autonomous inspections of oil and gas pumpjacks, heater treaters, tanks, pipes, pumps, and more via the autonomous Scout System. Autonomous drones have become a crucial component to ensuring safety and conducting regular inspections within the oil and gas industry.

Possibilities Are Endless — iHLS.


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A new type of technology has recently been developed. AI technology that mimics the human eye. Researchers at the University of Central Florida have created a device for AI that replicates the retina of the eye. This new discovery can lead to AI that can immediately identify objects, such as automated descriptions of photos captured with a camera or a phone. This technology can potentially be used in autonomous robots and self-driving cars as well.

Scidaily.com reports that this technology performs better than the eye in terms of the range of wavelengths it can perceive, from ultraviolet to visible light and on to the infrared spectrum. The technology expands upon previous work by the research team that created brain-like devices that can enable AI to work in remote regions and space.

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You are on the PRO Robots channel and today we present you with some high-tech news. The first robot with self-awareness, a new breakthrough in the creation of general artificial intelligence, evolving robots, a Japanese home for a space colony, an unexpected turn in the fate of XPENG Robotics and other news from the world of high technology in one issue! Let’s roll!

0:00 In this video.
0:24 The first robot with self-awareness.
1:18 The first orbital flight of a prototype Starship.
1:56 PLATO algorithm.
3:00 New robot learning system.
3:53 Electronic skin for robots.
4:30 XPENG Robotics four-legged robot.
5:09 Artificial gravity architecture.
6:06 Project LINA — Lunar Outpost.
7:06 Electronic glove with suction cups.
7:52 Suspended system in a thermovacuum chamber.
8:28 Network of underground tunnels for unmanned cargo delivery.
9:29 Mass layoffs at Pudu Robotics.
10:12 Virtual organisms.
10:49 Engineers taught robotic arms to react unpredictably to dancers’ movements and music.
11:13 Quokka Robotics Cafe.
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You are on PRO Robots Channel, and today we present you with high-tech news. An exhibition of robot chefs in Japan and novelties from the robot exhibition Automate 2022 in the USA, new unusual robots for space, the unexpected discovery of a robot that visited the asteroid Bennu, and the first Italian humanoid robot. All the most interesting technology news in one issue!

#prorobots #robots #robot #futuretechnologies #robotics.

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✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
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Scientists at the Lawrence Livermore National Laboratory (LLNL) Energetic Materials Center and Purdue University Materials Engineering Department have used simulations performed on the LLNL supercomputer Quartz to uncover a general mechanism that accelerates chemistry in detonating explosives critical to managing the nation’s nuclear stockpile. Their research is featured in the July 15 issue of the Journal of Physical Chemistry Letters.

Insensitive high explosives based on TATB (1,3,5-triamino-2,4,6-trinitrobenzene) offer enhanced safety properties over more conventional explosives, but physical explanations for these safety characteristics are not clear. Explosive initiation is understood to arise from hotspots that are formed when a shockwave interacts with microstructural defects such as pores. Ultrafast compression of pores leads to an intense localized spike in temperature, which accelerates chemical reactions needed to initiate burning and ultimately . Engineering models for insensitive high explosives—used to assess safety and performance—are based on the hotspot concept but have difficulty in describing a wide range of conditions, indicating missing physics in those models.

Using large-scale atomically resolved reactive molecular dynamics supercomputer simulations, the team aimed to directly compute how hotspots form and grow to better understand what causes them to react.