Lifeboat Foundation

Claim your SPECIAL OFFER for MagellanTV here: https://try.magellantv.com/arvinash Start your free trial TODAY so you can watch The Most Powerful Black Holes in the Universe” about the extremes of time and space, and the rest of MagellanTV’s science collection: https://www.magellantv.com/watch/the-most-powerful-black-hol…niverse-4k.

REFERENCES
The Tempest by Peter Cawdron: https://tinyurl.com/2ep4uzvs.
Inside Black Holes: https://youtu.be/iUr8Obv_DeA
How Black Holes form: https://youtu.be/7xCgnMqIgPI
How Stable orbits form around Black Holes: https://tinyurl.com/2klz9mfd.

Continue reading “Black Holes Are Even Weirder Than You Thought!” »

This is a recording of the SingularityNET Ecosystem leaders meeting, which was recorded on Monday, October 31st, 2022, including updates on projects progress, exciting news, and discussions around key initiatives.

SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.

Continue reading “Inside SingularityNET | October 2022” »

If it’s true that robots are taking our jobs, they should also be able to take out the trash and clean the bathroom for us.

How can we start with a mix of rocks, gases, and water and end up with life?Speaker: Dr. Zachary Adam, Kacar Research Group, Univ. of Wisconsin-Madison.

There is this picture—you may have seen it. It is black and white and has two silhouettes facing one another. Or maybe you see the black vase with a white background. But now, you likely see both.

It is an example of a visual illusion that reminds us to consider what we did not see at first glance, what we may not be able to see, or what our experience has taught us to know—there is always more to the picture or maybe even a different image to consider altogether. Researchers are finding the process in our brain that allows us to see these visual distinctions may not be happening the same way in the brains of children with autism spectrum disorder. They may be seeing these illusions differently.

“How our brain puts together pieces of an object or visual scene is important in helping us interact with our environments,” said Emily Knight, MD, Ph.D., assistant professor of Neuroscience and Pediatrics at the University of Rochester Medical Center, and first author on a study out today in the Journal of Neuroscience. “When we view an object or picture, our brains use processes that consider our experience and contextual information to help anticipate sensory inputs, address ambiguity, and fill in the missing information.”

Neuroscience research just got a little bit easier, thanks to the release of tens of thousands of images of fruit fly brain neurons generated by Janelia’s FlyLight Project Team.

Over eight years, the FlyLight Project Team and collaborators dissected, labeled, and imaged the neurons of more than 74,000 fruit fly brains, taken from more than 5,000 different genetically modified fly strains.

Now, these images are being made freely available, enabling scientists to quickly and easily find the neurons they need to test theories about how the nervous system works.

This sounds a lot like cryptomining but it also doesn’t. Cryptomining has nothing to do with machine learning algorithms and, unlike machine learning, cryptomining’s only value is producing a highly speculative digital commodity called a token that some people think is worth something and so are willing to spend real money on it.

This gave rise to a cryptobubble that drove a shortage of GPUs over the past two years when cryptominers bought up all the Nvidia Ampere graphics cards from 2020 through 2022, leaving gamers out in the cold. That bubble has now popped, and GPU stock has now stabilized.

But with the rise of ChatGPT, are we about to see a repeat of the past two years? It’s unlikely, but it’s also not out of the question either.

Everyone is now scrambling to integrate AI with as many facets of human life as possible. Neural nets and machine learning can offer greatly improved processing speeds, yet these aspects still rely on digital pathways that may never fully mimic the biological structure of the human brain. The next step in AI improvement would be to combine the best of both the digital world and the biological world. Some scientists are already experimenting with this possibility, as a new article published in the academic journal Frontiers of Science is deep diving into the realm of biocomputers and organoid intelligence (OI).

All AI applications today rely on computing power provided by powerful CPUs or GPUs. OI, on the other hand, is seeking to bring “unprecedented advances in computing speed, processing power, data efficiency and storage capabilities” by harnessing the complexity of lab-grown cell-cultures repurposed from adult skin cells that consist of 3D clusters of neurons and other brain cells.

NASA’s Mars Reconnaissance Orbiter photographed China’s Zhurong rover in the same location for five months, indicating the rover has not yet awoken from hibernation.