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May 8, 2024

Elon Musk Says Warren Buffett Should Buy Tesla Stock

Posted by in categories: Elon Musk, robotics/AI, transportation

Warren Buffett addressed Tesla’s Full Self-Driving over the weekend.

May 8, 2024

Researchers demonstrate a new mechanism of neural plasticity underlying learning and memory processes

Posted by in category: neuroscience

Neurons are important, but they are not everything. Indeed, it is “cartilage,” in the form of clusters of extracellular matrix molecules called chondroitin sulfates, located in the outside nerve cells, that plays a crucial role in the brain’s ability to acquire and store information.

May 8, 2024

Synaptic Plasticity: Multiple Forms, Functions, and Mechanisms

Posted by in category: futurism

Citri, A., Malenka, R. Synaptic Plasticity: Multiple Forms, Functions, and Mechanisms. Neuropsychopharmacol 33, 18–41 (2008). https://doi.org/10.1038/sj.npp.

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May 8, 2024

LLM, DL and generative AI to represent metaphysical hypotheses and theories

Posted by in category: robotics/AI

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May 8, 2024

Some problems of the very intuitive evolutionary emergentist paradigm trying to explain consciousness from neurons

Posted by in categories: computing, neuroscience

Some problems of the very intuitive evolutionary emergentist paradigm trying to explain consciousness from neurons, thanks to Andrés Gómez Emilsson and Chris Percy at Qualia Research Institute:

The “Slicing Problem” is a thought experiment that raises questions for substrate-neutral computational theories of consciousness, particularly, in functionalist approaches.

The thought experiment uses water-based logic gates to construct a computer in a way that permits cleanly slicing each gate and connection in half, creating two identical computers each instantiating the same computation. The slicing can be reversed and repeated via an on/off switch, without changing the amount of matter in the system.

May 8, 2024

Theory for Equivariant Quantum Neural Networks

Posted by in categories: quantum physics, robotics/AI

Popular Summary.

Most currently used quantum neural network architectures have little-to-no inductive biases, leading to trainability and generalization issues. Inspired by a similar problem, recent breakthroughs in classical machine learning address this crux by creating models encoding the symmetries of the learning task. This is materialized through the usage of equivariant neural networks whose action commutes with that of the symmetry.

In this work, we import these ideas to the quantum realm by presenting a general theoretical framework to understand, classify, design, and implement equivariant quantum neural networks. As a special implementation, we show how standard quantum convolutional neural networks (QCNN) can be generalized to group-equivariant QCNNs where both the convolutional and pooling layers are equivariant under the relevant symmetry group.

May 8, 2024

X-ray study offers first look at a quantum version of the liquid-crystal phase

Posted by in categories: biotech/medical, computing, quantum physics

Ever since superconductivity was discovered in the early 1900s, it has both captivated and mystified scientists. Superconductors conduct electricity with virtually zero resistance, allowing for highly efficient transmission of electrical currents. Among other uses, they create the strong magnetic fields we depend on for medical imaging with MRI machines.

The first known superconductor, mercury, only works when the temperature dips just below-450 F. Copper-containing materials called cuprates were found in the ’80s to become superconductors at warmer temperatures, though still inconveniently cold — closer to-200 F. Understanding how these so-called high-temperature superconductors work could eventually lead to ones that can operate in less frigid conditions.

One potential hallmark of high-temperature superconductors has remained purely theoretical, until now. A team of scientists, including several from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, has observed an elusive state of matter called quantum spin nematic. The study, which was published in the journal Nature (“Quantum spin nematic phase in a square-lattice iridate”), used the Advanced Photon Source (APS), a DOE Office of Science user facility at Argonne that also happens to use superconductors. The results lend insight on both high-temperature superconductivity and some of the physics involved in quantum computing.

May 8, 2024

Scientists decode why memories come back to dementia patients before death

Posted by in categories: biotech/medical, neuroscience

Dementia has become rampant among human beings who are pushed into a deep mental abyss, devoid of memories and remembrance.

It has been termed as “the long goodbye”. Even though the person remains alive, memories fade away slowly and irreversibly due to dementia.

Dementia eventually snatches away the ability of a person to communicate, eat and drink on their own, recognise family members and understand where they are.

May 8, 2024

Filamentation Observed in Wakefield Acceleration

Posted by in category: particle physics

A particle-beam-generating method—called wakefield acceleration—uses proton bunches, which can fragment into high-density filaments as a result of their interactions with plasma, new experiments show.

May 8, 2024

Advancing Atomic Clocks: Unlocking Precision With Quantum Superradiance

Posted by in categories: computing, mobile phones, particle physics, quantum physics, space

Superradiant atoms offer a groundbreaking method for measuring time with an unprecedented level of precision. In a recent study published by the scientific journal Nature Communications, researchers from the University of Copenhagen present a new method for measuring the time interval, seconds, that overcomes some of the limitations that even today’s most advanced atomic clocks encounter. This advancement could have broad implications in areas such as space exploration, volcanic monitoring, and GPS systems.

The second, which is the most precisely defined unit of measurement, is currently measured by atomic clocks in different places around the world that together tell us what time it is. Using radio waves, atomic clocks continuously send signals that synchronize our computers, phones, and watches.

Oscillations are the key to keeping time. In a grandfather clock, these oscillations are from a pendulum’s swinging from side to side every second, while in an atomic clock, it is a laser beam that corresponds to an energy transition in strontium and oscillates about a million billion times per second.

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