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After several decades of hope, hype and false starts, it appears that artificial intelligence (AI) has finally gone from throwing off sparks to catching fire. Tools like DALL-E and ChatGPT have seized the spotlight and the public imagination, and this latest wave of AI appears poised to be a game-changer across multiple industries.

But what kind of impact will AI have on the 3D engineering space? Will designers and engineers see significant changes in their world and their daily workflows, and if so, what will those changes look like?

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A pair of anthropologists at Tulane University has solved the mystery of the Mayan 819-day count, a type of ancient Mesoamerican calendar system. In their paper published in the journal Ancient Mesoamerica, John Linden and Victoria Bricker suggest that the calendar might be representing a much longer timescale than others had considered.

In studying ancient Maya inscriptions, prior researchers had come across mention of a system they referred to as the 819-day count, which appeared to be in reference to a of some sort. But the had not left behind any other sort of definition or text describing how it might fit in with their regular calendar system. Prior researchers had found some evidence suggesting that it might be tied to the synodic period, the cyclic period that describes when a given planet will appear at a given point in the sky. They noted that for Mercury, the synod period is 117 days, which, when multiplied by seven, equals 819. Unfortunately, the same formulation did not work with the other , leaving the 819-day count a mystery—until now.

When the researchers struck upon the idea of extending the amount of time that the 819-day count might be used for representing the synodic period for all of the known planets over many years, they found things lined up perfectly. They found, for example, that multiplying 819 by 20 equals 16,380 (approximately 45 years). And 13 cycles of Saturn’s 378-day synodic period adds up to 4,914 days, which is the same as six times 819.

Using an advanced method, researchers have discovered seven elements, including the rare substance terbium, which has never before been found in any exoplanet’s atmosphere.

Last week.

On the heels of the previous discovery, scientists have detected another element, Terbium, in an exoplanet’s atmosphere for the first time. Known as KELT-9, the exoplanet is said to be the galaxy’s hottest, orbiting its distant star about 670 light years from Earth.

An astrophysicist and a neurosurgeon walked into a room.

It may sound like the start of a horrible joke, but what a group of Italian academics came up with is a truly galaxy brain take: the structures of the observable universe, they claim, are startlingly similar to the neural networks of the human brain.

In a recent research published in the journal Frontiers in Physics, University of Bologna astronomer Franco Vazza and University of Verona neurosurgeon Alberto Feletti reveal the unexpected similarities between the cosmic network of galaxies and the complex web of neurons in the human brain. According to the researchers, despite being nearly 27 orders of magnitude distant in scale, the human brain and the makeup of the cosmic web exhibit similar levels of complexity and self-organization.

A new planet outside the solar system was discovered using Artificial Intelligence (AI) technology, in what can be called as a major success achieved by AI, which has been making headlines these days.

The technology was put into use by the astronomers to discover the new planet, which gave a major boost to machine learning.

Researchers, working at the University of Georgia, said that the discovery of a previously unknown planet which was present outside our solar system took place using the technology.