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The machine generates nearly identical works of art with small discrepancies that make them unique.

Robots or automated systems that are built and programmed to generate different types of artistic creations are referred to as art robots. These robots, which come in a variety of shapes and have different capacities, create artwork using a combination of hardware and software.

Among these machines are certain art robots that are engineered expressly to produce visual art, including drawings and paintings. These robots have the ability to use ink or paint to create an image on a canvas, applying the substances with such tools as pens and paint brushes.

Developed by a spinoff from ETH Zurich, the Ascento Guard is the newest kid on the block for autonomous security robots. It also happens to be very cute.

A Swiss startup called Ascento has recently unveiled its novel and adorable new security robot called the Ascento Guard. An autonomous outdoor security robot’s standout features are its wheeled “legs” and cartoon-esque, almost anthropomorphic “face.”


ETH Zurich/ YouTube.

Dark energy is believed to have a negative impact on big structures, limiting the formation of such particles.

Contrary to earlier understandings based on Einstein’s theory of general relativity, research from the University of Michigan has now found that the pace of growth of these substantial structures is slower than expected.


Large cosmic structures are predicted to expand at a certain rate as the universe expands, with galaxy clusters and other dense areas expanding faster than empty space.

A look into the anatomy of these structures shows that our cosmos is woven with galaxies like a vast cosmic spider web. They are not distributed randomly. Instead, they assemble in groups. In reality, the early universe’s cosmic web began as small aggregates of matter that later developed into individual galaxies, galactic clusters, and filaments.

Scientists develop an approach which uses WiFi signals to trace still objects.

WiFi can read through the walls. A team of researchers has developed a new method that can replicate the image of a still object from behind a wall using WiFi. Does this mean we can spy on our neighbors next door? Quite unlikely.

Sensing moving things using WiFi signals has shown promise; there’s a challenge in doing the same for non-moving objects because they lack motion, enabling calls to track them, explain the researchers in the press release.

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.

To do this, the vehicle might use a powerful computer vision model to categorize every pixel in a high-resolution image of this scene, so it doesn’t lose sight of objects that might be obscured in a lower-quality image. But this task, known as semantic segmentation, is complex and requires a huge amount of computation when the image has high resolution.

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a more efficient computer vision model that vastly reduces the computational complexity of this task. Their model can perform semantic segmentation accurately in real-time on a device with limited hardware resources, such as the on-board computers that enable an to make split-second decisions.