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After amazing us with its incredible strength, flexibility and thermal conductivity, graphene has now chalked up another remarkable property with its magnetoresistance. Researchers in Singapore and the UK have shown that, in near-pristine monolayer graphene, the room-temperature magnetoresistance can be orders of magnitude higher than in any other material. It could therefore provide both a platform for exploring exotic physics and potentially a tool for improving electronic devices.

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Magnetoresistance is a change in electrical resistance on exposure to a magnetic field. In the classical regime, magnetoresistance arises because the magnetic field curves the trajectories of flowing charges by the Lorentz force. In traditional metals, in which conduction occurs almost solely through electron motion, magnetoresistance quickly saturates as the field increases because the deflection of the electrons creates a net potential difference across the material, which counteracts the Lorentz potential. The situation is different in semimetals such as bismuth and graphite, in which current is carried equally by electrons and positive holes. Opposite charges flowing in opposite directions end up being deflected the same way by the magnetic field, so no net potential difference is generated and the magnetoresistance can theoretically grow indefinitely.

Quantum teleportation is a technique allowing the transfer of quantum information between two distant quantum objects, a sender and a receiver, using a phenomenon called quantum entanglement as a resource.

The unique feature of this process is that the actual information is not transferred by sending quantum bits (qubits) through a connecting the two parties; instead, the information is destroyed at one location and appears at the other one without physically traveling between the two. This surprising property is enabled by , accompanied by the transmission of classical bits.

There is a deep interest in quantum teleportation nowadays within the field of quantum communications and quantum networks because it would allow the transfer of between network nodes over very long distances, using previously shared entanglement.

In a paper published in March, artificial intelligence (AI) scientists at Stanford University and Canada’s MILA institute for AI proposed a technology that could be far more efficient than GPT-4 — or anything like it — at gobbling vast amounts of data and transforming it into an answer.

Also: What is GPT-4? Here’s everything you need to know

Known as Hyena, the technology is able to achieve equivalent accuracy on benchmark tests, such as question answering, while using a fraction of the computing power. In some instances, the Hyena code is able to handle amounts of text that make GPT-style technology simply run out of memory and fail.

In this episode, my guest is Oded Rechavi, Ph.D., professor of neurobiology at Tel Aviv University and expert in how genes are inherited, how experiences shape genes and remarkably, how some memories of experiences can be passed via genes to offspring. We discuss his research challenging long-held tenets of genetic inheritance and the relevance of those findings to understanding key biological and psychological processes including metabolism, stress and trauma. He describes the history of the scientific exploration of the “heritability of acquired traits” and how epigenetics and RNA biology can account for some of the passage of certain experience-based memories. He discusses the importance of model organisms in scientific research and describes his work on how stressors and memories can be passed through small RNA molecules to multiple generations of offspring in ways that meaningfully affect their behavior. Nature vs. nurture is a commonly debated theme; Dr. Rechavi’s work represents a fundamental shift in our understanding of that debate, as well as genetic inheritance, brain function and evolution.

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Summary: Brain areas that control movement are plugged into networks that orchestrate thinking and planning, and control involuntary bodily functions. The findings provide a link between the body and the “mind” in the brain’s structure.

Source: WUSTL

Calm body, calm mind, say the practitioners of mindfulness. A new study by researchers at Washington University School of Medicine in St. Louis indicates that the idea that the body and mind are inextricably intertwined is more than just an abstraction.

Findings point to brain areas that integrate planning, purpose, physiology, behavior, and movement.

Calm body, calm mind, say the practitioners of mindfulness. A new study by researchers at Washington University School of Medicine in St. Louis indicates that the idea that the body and mind are inextricably intertwined is more than just an abstraction. The study shows that parts of the brain area that control movement are plugged into networks involved in thinking and planning, and in control of involuntary bodily functions such as blood pressure and heartbeat. The findings represent a literal linkage of body and mind in the very structure of the brain.

The research, published on April 19 in the journal Nature, could help explain some baffling phenomena, such as why anxiety makes some people want to pace back and forth; why stimulating the vagus nerve, which regulates internal organ functions such as digestion and heart rate, may alleviate depression; and why people who exercise regularly report a more positive outlook on life.

The MINERvA experiment at Fermilab, utilizing the NuMI beam, has made the first precise depiction of a proton using neutrinos instead of light as the imaging tool.

The building blocks of atomic nuclei, protons and neutrons, are comprised of quarks and gluons that interact strongly with each other. Due to the strength of these interactions, determining the structure of protons and neutrons through theoretical calculation is challenging.

Therefore, scientists must resort to experimental methods to determine their structure. Neutrino experiments utilize targets consisting of nuclei comprised of numerous protons and neutrons bound together, which makes it difficult to deduce information about the structure of protons from these measurements.