Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 3954

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.

Continue reading “Is space continuous or discrete?” | >

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:

Continue reading “Bioelectric Networks: Taming the Collective Intelligence of Cells for Regenerative Medicine” | >

A team of researchers have come up with a machine learning-assisted way to detect the position of shapes including the poses of humans to an astonishing degree — using only WiFi signals.

In a yet-to-be-peer-reviewed paper, first spotted by Vice, researchers at Carnegie Mellon University came up with a deep learning method of mapping the position of multiple human subjects by analyzing the phase and amplitude of WiFi signals, and processing them using computer vision algorithms.

“The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input,” the team concluded in their paper.

Read more | >

Age catches up with us all eventually, but in some people the right genes can make that chase into our twilight years a relatively leisurely one.

A few years ago Italian researchers discovered something special about people who live well into their 90s and beyond: they commonly have a version of a gene called BPIFB4 that protects against cardiovascular damage and keeps the heart in good shape for a longer period of time.

By introducing the mutated gene into older mice, the scientists have now seen how the variant rewinds markers of biological heart aging by the equivalent of more than 10 human years.

Read more | >