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If you don’t tidy up before dinner there’ll be no ice-cream for afters. And don’t even think about a bedtime story.

The G4 geomagnetic storm that brought auroras across the U.S. also generated electrical currents in rocks under the ground.

A Gen Xer in California has been struggling to find a job. He says he’s been ghosted by employers despite having years of work experience.

I finally got through this entire podcast, and I genuinely feel this is one of the most informative podcasts and also important podcasts for American healthcare.

The Joe Rogan Experience.

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Continue reading “Calley Means & Casey Means, MD” »

“Studying how known benchmarks like Uranus appear in distant imaging can help us have more robust expectations when preparing for these future missions,” said Samantha Hasler. “And that will be critical to our success.”

How can Uranus teach us about exoplanets? This is what a recent study presented at the 56th annual meeting of the American Astronomical Society (AAS) Division for Planetary Sciences (DPS) hopes to address as a team of researchers investigated how gas giants like Uranus can be used to better understand the characteristics of exoplanets. While exoplanets have been discovered using the direct imaging method, no exoplanet has been directly imaged itself. Therefore, this study holds the potential to use gas giant planets within our solar system as analogs for exoplanets throughout the cosmos.

For the study, the researchers analyzed data collected from NASA’s New Horizons spacecraft and the Hubble Space Telescope to study the atmosphere of Uranus in various wavelengths. Both telescopes exhibit different imaging properties, as Hubble is built to obtain up-close images from far away while New Horizons is built to obtain up-close images from close-up. As a result, the images from Hubble revealed far more detail while the images from New Horizons revealed Uranus as a small dot.

Continue reading “Beyond Our Solar System: How Uranus Prepares Us for Exoplanet Discovery” »

Evolutionary accounts of feelings, and in particular of negative affect and of pain, assume that creatures that feel and care about the outcomes of their behavior outperform those that do not in terms of their evolutionary fitness. Such accounts, however, can only work if feelings can be shown to contribute to fitness-influencing outcomes. However, simply assuming that a learner that feels and cares about outcomes is more strongly motivated than one that doesn’t is not enough — if only because motivation can be tied directly to outcomes through an appropriate reward function, without leaving any apparent role to feelings (as it is done in state-of-the-art engineered systems based on reinforcement learning). Here, we propose a possible mechanism whereby pain contributes to fitness: an actor-critic functional architecture for reinforcement learning, in which pain reflects the costs imposed on actors in their bidding for control, so as to promote honest signaling and ultimately help the system optimize learning and future behavior.

Been waiting for this to come out since discovering the Shawn ryan show…pretty excited to be finally getting around to it!

Shawn Ryan Show · Episode.

In a new animation, scientists map the planet’s plate tectonics over the last 40 percent of its history. It’s the longest such reconstruction yet.