Lifeboat Foundation

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Vlog 765 | #vanlife at xPoint, South Dakota, USA | State 27/50 | Filmed April 8 2021.

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To efficiently navigate their surrounding environments and complete missions, unmanned aerial systems (UASs) should be able to detect multiple objects in their surroundings and track their movements over time. So far, however, enabling multi-object tracking in unmanned aerial vehicles has proved to be fairly challenging.

To efficiently navigate their surrounding environments and complete missions, unmanned aerial systems (UASs) should be able to detect multiple objects in their surroundings and track their movements over time. So far, however, enabling multi-object tracking in unmanned aerial vehicles has proved to be fairly challenging.

Researchers at Lockheed Martin AI Center have recently developed a new deep learning technique that could allow UASs to track multiple objects in their surroundings. Their technique, presented in a paper pre-published on arXiv, could aid the development of better performing and more responsive autonomous flying systems.

“We present a robust object tracking architecture aimed to accommodate for the noise in real-time situations,” the researchers wrote in their paper. “We propose a kinematic prediction model, called deep extended Kalman filter (DeepEKF), in which a sequence-to-sequence architecture is used to predict entity trajectories in latent space.”

Founders tend to think responsible AI practices are challenging to implement and may slow the progress of their business. They often jump to mature examples like Salesforce’s Office of Ethical and Humane Use and think that the only way to avoid creating a harmful product is building a big team. The truth is much simpler.

I set out to learn how founders were thinking about responsible AI practices on the ground by speaking with a handful of successful early-stage founders and found many of them were implementing responsible AI practices.

Only they didn’t call it that. They just call it “good business.”

For example, the end could come as “heat death” (a reverse of the Big Bang known as the Big Crunch) or The Big Rip (when dark energy becomes so powerful it tears everything we know to pieces). But another possibility that has gained traction is the Cosmic Death Bubble.

The details of this death by bubble are pretty complicated, but it’s based on the idea that the universe is metastable, which means it’s not in its lowest or most stable energy state. While we’re okay for now, there’s the (remote) possibility that the universe could drop into a lower energy state, which would set off a giant light-speed bubble that destroys everything it touches.

Now, as Erik Vance at LiveScience reports, researchers have calculated how long before this Cosmic Death Bubble comes for us, if it happens at all.

Facebook’s latest long-term research project, Ego4D, focuses on developing AI with an ‘egocentric,’ first-person perspective.

Origin’s two flights, however, didn’t go nearly as far, reaching the only outer limits of the Earth’s atmosphere and nowhere near orbit.

Earlier today, the company sent “Star Trek” actor William Shatner to the far reaches of our planet’s atmosphere as part of the company’s latest launch.

“So none of this, going up for three minutes and coming back down,” Kaku remarked. “No, we’re talking about the Moon now.”

Even robots from down under are going to the moon.

Australia is kicking off its first-ever mission to the moon, investing $50 million to build an operational lunar rover as a part of NASA’s Artemis project, according to a recent post on the nation’s website.

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