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Neuronal factors determining high intelligence

Many attempts have been made to correlate degrees of both animal and human intelligence with brain properties. With respect to mammals, a much-discussed trait concerns absolute and relative brain size, either uncorrected or corrected for body size. However, the correlation of both with degrees of intelligence yields large inconsistencies, because although they are regarded as the most intelligent mammals, monkeys and apes, including humans, have neither the absolutely nor the relatively largest brains. The best fit between brain traits and degrees of intelligence among mammals is reached by a combination of the number of cortical neurons, neuron packing density, interneuronal distance and axonal conduction velocity—factors that determine general information processing capacity (IPC), as reflected by general intelligence.

Anthrobots: Scientists build tiny biological robots from human tracheal cells

Researchers at Tufts University and Harvard University’s Wyss Institute have created tiny biological robots that they call Anthrobots from human tracheal cells that can move across a surface and have been found to encourage the growth of neurons across a region of damage in a lab dish.

The multicellular robots, ranging in size from the width of a human hair to the point of a sharpened pencil, were made to self-assemble and shown to have a remarkable healing effect on other . The discovery is a starting point for the researchers’ vision to use patient-derived biobots as new therapeutic tools for regeneration, healing, and treatment of disease.

The work follows from earlier research in the laboratories of Michael Levin, Vannevar Bush Professor of Biology at Tufts University School of Arts & Sciences, and Josh Bongard at the University of Vermont in which they created multicellular biological robots from frog embryo cells called Xenobots, capable of navigating passageways, collecting material, recording information, healing themselves from injury, and even replicating for a few cycles on their own.

What If You Traveled Through a Black Hole?

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Dark, mysterious and consuming everything around them, black holes will rip apart anything that passes their event horizons. But could there be more? What would happen if you fell into one of those monstrosities? How could you possibly travel through the black hole itself? And if you emerged on the other side, where would you end up?

Transcript and sources: https://whatifshow.com/travelling-through-a-black-hole/

00:00 What If You Traveled Through a Black Hole?
00:47 What’s a black hole?
02:04 Crossing a charged black hole.
02:49 A mind blowing experience.
04:35 Reaching the inner horizon.
05:35 Witnessing the history of the universe.
07:24 Following different laws of physics.

Questions or concerns? Contact us at https://underknown.com/contact/

Get our 100 best episodes in one mind-blowing book: http://bit.ly/ytc-the-what-if-100-book.

Continue reading “What If You Traveled Through a Black Hole?” | >

These Tiny, Wound-Healing Robots Start Life As Just 1 Human Cell

Regenerative medicine might just have had a new tool added to its arsenal: Scientists have created tiny biological robots out of living human cells. Though they may be small, the self-assembling bots are mighty, with a study demonstrating their potential for healing and treating disease.

The team had already proven their biological robotics chops back in 2020 with the creation of Xenobots, made from frog embryonic cells. They even managed to design Xenobots so that they could reproduce in a way that no living animal or plant does, something that had never been seen before.

The researchers weren’t sure whether the incredible capabilities of the Xenobots were in some way down to their amphibious origins, so they wanted to find out if biobots could also be created from the cells of other organisms. And why not begin with humans?

Advancing Power Resilience: UC Santa Cruz’s AI Innovation in Microgrid Technology

A recent study published in IEEE Transactions on Control of Network Systems discusses how artificial intelligence (AI) can be used to control microgrids in the event of a long-term power outage caused by natural disasters or human error. This study was conducted by a team of researchers at UC Santa Cruz and holds the potential to improve power restoration techniques, which are traditionally controlled by local utility companies. One benefit of microgrids is they can function to power a small area, such as a town, until the primary utility source comes back online.

“Nowadays, microgrids are really the thing that both people in industry and in academia are focusing on for the future power distribution systems,” said Dr. Yu Zhang, who is an assistant professor of electrical and computer engineering at UC Santa Cruz and co-author on the study.

For the study, the researchers used an AI-based approach to develop a novel method where microgrids could draw power from renewable energy sources while being disconnected from the primary utility source, known as “islanding mode”, but can also function while being connected to the source, as well. This new method, which they refer to as constrained policy optimization (CPO), uses a machine learning algorithm that learns from outside input, such as real-time changes in environmental or power conditions, and makes the best-informed decisions on what to do next.