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Blog – Page 1712

Talk about the call coming from inside the house!

In an interview with The Financial Times, Google DeepMind CEO Demis Hassibis likened the frothiness shrouding the AI gold rush to that of the crypto industry’s high-dollar funding race, saying that the many billions being funneled into AI companies and projects brings a “bunch of hype and maybe some grifting and some other things that you see in other hyped-up areas, crypto or whatever.”

“Some of that has now spilled over into AI,” the CEO added, “which I think is a bit unfortunate.”

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A Boston Dynamic’s SPOT robotic dog has officially become the first of its kind to become a police dog hero. The robodog in question, a Massachusetts State Police SPOT unit, was shot in the line of duty.

According to the police department, the robodog’s actions may have saved human lives. Called “Roscoe,” the robot dog was involved in a police action to deal with a person barricaded in their home.

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Dark matter is one of science’s greatest mysteries. It doesn’t absorb, reflect or emit light, so we can’t see it. But its presence is implied by the gravitational effects it appears to have on galaxies.

Although dark matter makes up about 85% of the cosmos, scientists know very little about its fundamental nature.

Theories abound, and research by Clemson University postdoctoral fellow Alex McDaniel provides some of the most stringent constraints on the nature of dark matter yet. His research also reveals a small hint of a signal that if real, could be confirmed sometime in the next decade or so.

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Ching-Yao Tang and Ke-Jung Chen used the powerful supercomputer at Berkeley National Lab to create the world’s first high-resolution 3D hydrodynamics simulations of turbulent star-forming clouds for the first stars. Their results indicate that supersonic turbulence effectively fragments the star-forming clouds into several clumps, each with dense cores ranging from 22 to 175 solar masses, destined to form the first stars of masses of about 8 to 58 solar masses that agree well with the observation.

Furthermore, if the turbulence is weak or unresolved in the simulations, the researchers can reproduce similar results from previous simulations. This result first highlights the importance of turbulence in the first star formation and offers a promising pathway to decrease the theoretical mass scale of the . It successfully reconciles the mass discrepancy between simulations and observations, providing a strong theoretical foundation for the first star formation.

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A team of researchers from China, who are originally engaged in hypersonic missile development, have developed a mechanical sensor that can boost the safety on the country’s high-speed rail network.

As per an article in the South China Morning Post, the scientists have proposed using a high-sensitivity technology to paint a complete picture of every turn of the train’s wheels.

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