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A small team of astrophysicists affiliated with several institutions in China has found evidence that suggests if wormholes are real, they might magnify light by 100,000 times. In their paper published in the journal Physical Review Letters, the group describes the theories they have developed and possible uses for them.

Prior theoretical efforts have suggested that might exist in the , described as tunnels of a sort, connecting different parts of the universe. Some in the physics community have suggested that it may be possible to traverse such tunnels, allowing for faster-than-light travel across the universe. The researchers note that prior research has shown that black holes have such a strong gravitational pull that they are able to bend light, a phenomenon known as microlensing. They then wondered if wormholes, if they exist, also exhibit microlensing.

Proving that wormholes cause microlensing would, of course, involve first proving that wormholes exist. Still, the researchers suggest that and other theories could clarify whether the idea is even possible. In their work, they discovered that it was possible to calculate how an associated with a wormhole would warp the light passing by it. They also found theoretical evidence that wormhole would be similar to black hole lensing, which, they note, would make it difficult to tell the two apart.

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We’re used to thinking of space as continuous.

A stone can be anywhere in space. It can be here. Or it can be an inch to the left. Or it can be half an inch further to the left. Or it can be an infinitesimal fraction of an inch even further to the left. Space is infinitely divisible.

The graphs of Wolfram Physics, however, are discrete.

If, as Stephen Wolfram proposes, the universe is a graph, then you can’t be just anywhere in space. It makes sense to think about a node of the graph as a position in space. It makes no sense to think about anywhere in between the nodes as positions in space. This space is not infinitely divisible.

It’s as if a stone could be here in space, or here in space, but nowhere in between.

So which is it?

Seminar summary: https://foresight.org/summary/bioelectric-networks-taming-th…-medicine/
Program & apply to join: https://foresight.org/biotech-health-extension-program/

Foresight Biotech & Health Extension Meeting sponsored by 100 Plus Capital.

Michael Levin, Tufts Center for Regenerative and Developmental Biology.
Bioelectric Networks: Taming the Collective Intelligence of Cells for Regenerative Medicine.

Michael Levin, Distinguished Professor in the Biology department and Vannevar Bush Chair, serves as director of the Tufts Center for Regenerative and Developmental Biology. Recent honors include the Scientist of Vision award and the Distinguished Scholar Award. His group’s focus is on understanding the biophysical mechanisms that implement decision-making during complex pattern regulation, and harnessing endogenous bioelectric dynamics toward rational control of growth and form. The lab’s current main directions are:

• Understanding how somatic cells form bioelectrical networks for storing and recalling pattern memories that guide morphogenesis;
• Creating next-generation AI tools for helping scientists understand top-down control of pattern regulation (a new bioinformatics of shape); and.
• Using these insights to enable new capabilities in regenerative medicine and engineering.

Prior to college, Michael Levin worked as a software engineer and independent contractor in the field of scientific computing. He attended Tufts University, interested in artificial intelligence and unconventional computation. To explore the algorithms by which the biological world implemented complex adaptive behavior, he got dual B.S. degrees, in CS and in Biology and then received a PhD from Harvard University. He did post-doctoral training at Harvard Medical School (1996−2000), where he began to uncover a new bioelectric language by which cells coordinate their activity during embryogenesis. His independent laboratory (2000−2007 at Forsyth Institute, Harvard; 2008-present at Tufts University) develops new molecular-genetic and conceptual tools to probe large-scale information processing in regeneration, embryogenesis, and cancer suppression.