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Category: computing

How Nanowires Work

In the next section, we’ll look at the ways scientists can grow nanowires from the bottom up.

Looking at the Nanoscale.

A nanoscientist’s microscope isn’t the same kind that you’ll find in a high school chemistry lab. When you get down to the atomic scale, you’re dealing with sizes that are actually smaller than the wavelength of visible light. Instead, a nanoscientist could use a scanning tunneling microscope or an atomic force microscope. Scanning tunneling microscopes use a weak electric current to probe the scanned material. Atomic force microscopes scan surfaces with an incredibly fine tip. Both microscopes send data to a computer, which assembles the information and projects it graphically onto a monitor.

After Neuralink, Max Hodak is building something even wilder

Developing an advanced Brain-Computer Interface (BCI) is only the beginning.

“In order to prove a theory of consciousness is right, you have to see it for yourself,” Hodak explains. “That will require these big brain-computer interfaces.”

Hodak thinks that once humans understand how billions of neurons bind together to create a unified experience — what neuroscientists call “the binding problem” — we can start doing truly wild things.

I almost hesitate to say some of those wild things include multiple brains working to form one consciousness. “You could really, in a very fundamental sense, talk about redrawing the border around a brain, possibly to include four hemispheres, or a device, or a whole group of people,” he says.

Focus on Your Algorithm—NVIDIA CUDA Tile Handles the Hardware

With its largest advancement since the NVIDIA CUDA platform was invented in 2006, CUDA 13.1 is launching NVIDIA CUDA Tile. This exciting innovation introduces a virtual instruction set for tile-based parallel programming, focusing on the ability to write algorithms at a higher level and abstract away the details of specialized hardware, such as tensor cores.

CUDA exposes a single-instruction, multiple-thread (SIMT) hardware and programming model for developers. This requires (and enables) you to exhibit fine-grained control over how your code is executed with maximum flexibility and specificity. However, it can also require considerable effort to write code that performs well, especially across multiple GPU architectures.

There are many libraries to help developers extract performance, such as NVIDIA CUDA-X and NVIDIA CUTLASS. CUDA Tile introduces a new way to program GPUs at a higher level than SIMT.

New haptic display technology creates 3D graphics you can see and feel

Researchers at UC Santa Barbara have invented a display technology for on-screen graphics that are both visible and haptic, meaning that they can be felt via touch.

The screens are patterned with tiny pixels that expand outward, yielding bumps when illuminated, enabling the display of dynamic graphical animations that can be seen with the eyes and felt with the hand. This technology could one day enable high-definition visual-haptic touch screens for automobiles, mobile computing or intelligent architectural walls.

Max Linnander, a Ph.D. candidate in the RE Touch Lab of mechanical engineering professor Yon Visell, led the research, which appears in the journal Science Robotics.

Quantum Computer Recycles Its Atomic Qubits

Trapped neutral atoms are an attractive platform for quantum computing, as large arrays of atomic qubits can be arranged and manipulated to perform gate operations. However, the loss of useable atoms—either from escape or from disturbance—can be a limitation for long computations with repeated measurements. Researchers at Atom Computing, a company in California, have devised a “reset or reload” protocol that mitigates atom losses [1]. The method was successfully employed during a computation consisting of 41 cycles of qubit measurements.

All current quantum computers require error correction, which involves measuring certain qubits at intermediate steps of a computation. Reusing these qubits would avoid needing a prohibitively high overhead in qubit numbers, says team member Matthew Norcia. But in the case of atoms, the process of resetting measured qubits risks disturbing unmeasured ones.

To overcome this challenge, the researchers have developed a way to shield unmeasured atoms from the resetting process. They use targeted laser beams to immunize the unmeasured atoms against excitation by shifting their resonances. They then turn on a second set of lasers that cool the measured atoms and reinitialize them, enabling them to join the unmeasured atoms in the next computational step.

Shaping quantum light unlocks new possibilities for future technologies

Researchers from the School of Physics at Wits University, working with collaborators from the Universitat Autònoma de Barcelona, have demonstrated how quantum light can be engineered in space and time to create high-dimensional and multidimensional quantum states. Their work highlights how structured photons—light whose spatial, temporal or spectral properties are deliberately shaped—offer new pathways for high-capacity quantum communication and advanced quantum technologies.

Published as a review article in Nature Photonics, the study surveys rapid progress in techniques capable of creating, manipulating and detecting quantum structured light. These include on-chip integrated photonics, nonlinear optics, and multiplane light conversion, which now form a modern and increasingly powerful toolkit. Together, these advances are bringing structured quantum states closer to real-world applications in imaging, sensing, and quantum networks.

New state of quantum matter could power future space tech

A UC Irvine team uncovered a never-before-seen quantum phase formed when electrons and holes pair up and spin in unison, creating a glowing, liquid-like state of matter. By blasting a custom-made material with enormous magnetic fields, the researchers triggered this exotic transformation—one that could enable radiation-proof, self-charging computers ideal for deep-space travel.

Comprehensive map reveals neuronal dendrites in the mouse brain in greater detail

Understanding the shape or morphology of neurons and mapping the tree-like branches via which they receive signals from other cells (i.e., dendrites) is a long-standing objective of neuroscience research. Ultimately, this can help to shed light on how information flows through the brain and pin-point differences associated with specific neurological or psychiatric disorders.

The X. William Yang Lab at the Jane and Terry Semel Institute and the Department of Psychiatry and Biobehavioral Sciences at University of California, Los Angeles (UCLA) have devised new sophisticated methods to map neuronal dendrites in the mouse brain, which combine large-scale data collection with genetic labeling techniques and computational tools.

Their research approach, outlined in a paper published in Nature Neuroscience, allowed them to create a comprehensive map of two genetic types of neurons in the mouse brain, known as D1-and D2-type striatal medium spiny neurons (MSNs).

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