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π17β‘14π₯11
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1π26π₯10β‘5π5π4
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π23π8π2
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π19π₯7β‘2π2
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π27π₯8β‘7π3
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π11π5β‘4π3
π§ Scientists Replaced Most of a Mouseβs Cortex With Human Brain Tissue
This sounds like science fiction, but the experiment is real.
Stanford researchers genetically engineered mice so that most of their cerebral cortex and hippocampus never developed. The adult animals were left with only about 2% of the normal amount of corresponding cortical tissue.
Then, shortly after birth, scientists implanted tiny human cortical organoids β brain-like structures grown from human stem cells β into the empty space.
Three months later, more than 90% of the cortical tissue by volume was human-derived.
And it did not simply sit there.
Human neurons became integrated into the mouse nervous system, developed organized electrical activity and sent long-range projections β some extending as far as the spinal cord. The mice retained broadly normal movement, although researchers found specific differences in coordination and spontaneous behavior.
Then came an unexpected discovery.
Inside the transplanted human tissue, researchers found cells resembling von Economo neurons β extremely rare, large neurons associated with brain regions involved in social awareness and decision-making. They occur in humans, great apes, elephants, dolphins and whales, but scientists had never previously succeeded in generating them in laboratory brain cultures.
The team also demonstrated why the model could matter medically. When the animals experienced several hours of reduced oxygen, the human cortical tissue was severely damaged while comparable mouse tissue was largely spared β potentially giving researchers a living model for studying why the developing human brain is particularly vulnerable to oxygen deprivation.
An important distinction: these are not mice with human intelligence or a human brain. The transplanted tissue remained developmentally immature, and the experiment provides no evidence of human-like cognition or consciousness. It is a new animal model for studying human neural development and disease.
But the boundary scientists have crossed is remarkable.
We can now grow substantial amounts of developing human neural tissue not just in a dish β
but inside a living brain, connected to a living nervous system.
Where should the ethical boundary for experiments like this be?
#Neuroscience #Brain #Organoids #StemCells #Biotechnology #Stanford #Science
https://www.nature.com/articles/s41586-026-11032-2
This sounds like science fiction, but the experiment is real.
Stanford researchers genetically engineered mice so that most of their cerebral cortex and hippocampus never developed. The adult animals were left with only about 2% of the normal amount of corresponding cortical tissue.
Then, shortly after birth, scientists implanted tiny human cortical organoids β brain-like structures grown from human stem cells β into the empty space.
Three months later, more than 90% of the cortical tissue by volume was human-derived.
And it did not simply sit there.
Human neurons became integrated into the mouse nervous system, developed organized electrical activity and sent long-range projections β some extending as far as the spinal cord. The mice retained broadly normal movement, although researchers found specific differences in coordination and spontaneous behavior.
Then came an unexpected discovery.
Inside the transplanted human tissue, researchers found cells resembling von Economo neurons β extremely rare, large neurons associated with brain regions involved in social awareness and decision-making. They occur in humans, great apes, elephants, dolphins and whales, but scientists had never previously succeeded in generating them in laboratory brain cultures.
The team also demonstrated why the model could matter medically. When the animals experienced several hours of reduced oxygen, the human cortical tissue was severely damaged while comparable mouse tissue was largely spared β potentially giving researchers a living model for studying why the developing human brain is particularly vulnerable to oxygen deprivation.
An important distinction: these are not mice with human intelligence or a human brain. The transplanted tissue remained developmentally immature, and the experiment provides no evidence of human-like cognition or consciousness. It is a new animal model for studying human neural development and disease.
But the boundary scientists have crossed is remarkable.
We can now grow substantial amounts of developing human neural tissue not just in a dish β
but inside a living brain, connected to a living nervous system.
Where should the ethical boundary for experiments like this be?
#Neuroscience #Brain #Organoids #StemCells #Biotechnology #Stanford #Science
https://www.nature.com/articles/s41586-026-11032-2
Nature
Developmental xenocortication using human-derived organoids in mice
Nature - Xenocortication with human neurons enables circuit- and behaviour-level analysis of neurodevelopment in mice.
π14π8π₯7
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βοΈ Scientists Found Quantum Entanglement Inside Higgs Boson Decays
Einstein famously disliked quantum entanglement enough to call it βspooky action at a distance.β
Now physicists have found strong evidence that the same bizarre quantum connection survives inside some of the most violent particle collisions humans can create.
Using the ATLAS Experiment detector at the Large Hadron Collider, researchers studied Higgs bosons decaying into pairs of Z bosons β massive particles that exist for only a tiny fraction of a second.
The question was simple:
Are the quantum states of those two particles independent β or entangled?
The Z bosons disappear far too quickly to measure directly. Instead, researchers reconstructed their spin states from the directions of the electrons and muons produced when they decayed.
The resulting correlations strongly favored quantum entanglement. A statistical analysis rejected a separable, non-entangled description at 4.7 sigma β strong evidence, although just below particle physicsβ conventional 5-sigma discovery threshold.
There is another unusual detail.
A Z boson has three possible spin projections. So instead of the familiar two-state qubits used in quantum computing, the entangled Z bosons behave mathematically as qutrits β three-state quantum systems.
Entanglement itself is not new. Scientists have demonstrated it spectacularly with photons, atoms and other systems.
What is new is where it survived.
These Z bosons were created in proton collisions at energies of 13 and 13.6 TeV. They are enormously heavier and vastly shorter-lived than the particles used in traditional entanglement experiments. The result provides the first measurements of entanglement between pairs of Z bosons and strong evidence for entanglement between massive vector bosons at the electroweak scale.
Quantum mechanics, in other words, does not become less weird when you turn the energy up.
It just gets a much bigger laboratory.
#QuantumPhysics #HiggsBoson #CERN #LHC #QuantumEntanglement #Physics #Science
https://journals.aps.org/prl/abstract/10.1103/y1nh-1b82
Einstein famously disliked quantum entanglement enough to call it βspooky action at a distance.β
Now physicists have found strong evidence that the same bizarre quantum connection survives inside some of the most violent particle collisions humans can create.
Using the ATLAS Experiment detector at the Large Hadron Collider, researchers studied Higgs bosons decaying into pairs of Z bosons β massive particles that exist for only a tiny fraction of a second.
The question was simple:
Are the quantum states of those two particles independent β or entangled?
The Z bosons disappear far too quickly to measure directly. Instead, researchers reconstructed their spin states from the directions of the electrons and muons produced when they decayed.
The resulting correlations strongly favored quantum entanglement. A statistical analysis rejected a separable, non-entangled description at 4.7 sigma β strong evidence, although just below particle physicsβ conventional 5-sigma discovery threshold.
There is another unusual detail.
A Z boson has three possible spin projections. So instead of the familiar two-state qubits used in quantum computing, the entangled Z bosons behave mathematically as qutrits β three-state quantum systems.
Entanglement itself is not new. Scientists have demonstrated it spectacularly with photons, atoms and other systems.
What is new is where it survived.
These Z bosons were created in proton collisions at energies of 13 and 13.6 TeV. They are enormously heavier and vastly shorter-lived than the particles used in traditional entanglement experiments. The result provides the first measurements of entanglement between pairs of Z bosons and strong evidence for entanglement between massive vector bosons at the electroweak scale.
Quantum mechanics, in other words, does not become less weird when you turn the energy up.
It just gets a much bigger laboratory.
#QuantumPhysics #HiggsBoson #CERN #LHC #QuantumEntanglement #Physics #Science
https://journals.aps.org/prl/abstract/10.1103/y1nh-1b82
Physical Review Letters
Measurements of $Z$-Boson Pair Entanglement in Decays of Higgs Bosons at the ATLAS Experiment
First measurements of quantum entanglement between two massive vector bosons at the electroweak scale link quantum information concepts with precision measurements.
π14π₯12π4π1
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In principle, once cameras everywhere capture enough high-resolution, overlapping views, ordinary photographs may start to feel obsolete.
Instead of saving a single flat image, those recordings could be used to reconstruct a navigable 3D representation of a scene β estimating the position, shape, depth, texture, and appearance of objects from multiple camera angles.
You could then return to a particular moment, move the virtual camera to almost any viewpoint, and generate a new image from that angle. Parts of the scene that were never directly visible to any camera wouldnβt be true recordings β AI would have to infer and reconstruct them from the surrounding visual information.
Author: joergkahlhoefer
#gaussian #splat #3D
Instead of saving a single flat image, those recordings could be used to reconstruct a navigable 3D representation of a scene β estimating the position, shape, depth, texture, and appearance of objects from multiple camera angles.
You could then return to a particular moment, move the virtual camera to almost any viewpoint, and generate a new image from that angle. Parts of the scene that were never directly visible to any camera wouldnβt be true recordings β AI would have to infer and reconstruct them from the surrounding visual information.
Author: joergkahlhoefer
#gaussian #splat #3D
π27π2π₯1π1
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π24π₯15π2π2β‘1
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