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Archive for the ‘computing’ category: Page 33

Apr 23, 2024

Revolutionizing Brain Health: Rice University Unveils Tiny, Implantable Brain Stimulator

Posted by in categories: biotech/medical, computing, health, neuroscience

Rice University engineers have developed the smallest implantable brain stimulator demonstrated in a human patient. Thanks to pioneering magnetoelectric power transfer technology, the pea-sized device developed in the Rice lab of Jacob Robinson in collaboration with Motif Neurotech and clinicians Dr. Sameer Sheth and Dr. Sunil Sheth can be powered wirelessly via an external transmitter and used to stimulate the brain through the dura ⎯ the protective membrane attached to the bottom of the skull.

The device, known as the Digitally programmable Over-brain Therapeutic (DOT), could revolutionize treatment for drug-resistant depression and other psychiatric or neurological disorders by providing a therapeutic alternative that offers greater patient autonomy and accessibility than current neurostimulation-based therapies and is less invasive than other brain-computer interfaces (BCIs).

Apr 23, 2024

Witnessing the Birth of Skyrmions

Posted by in categories: computing, particle physics, quantum physics

Using thin layers of chiral nematic liquid crystals, researchers have observed the formation dynamics of skyrmions.

A skyrmion is a topologically stable, vortex-like field configuration that cannot be smoothly morphed to a uniform state [1]. First proposed by physicist Tony Skyrme in 1961 as a model of the nucleon [2], the concept has since been studied in condensed-matter physics and adjacent fields [3]. In particular, skyrmions have cropped up in studies of magnetism [4], Bose-Einstein condensates [5], quantum Hall systems [6], liquid crystals [7], and in other contexts (see, for example, Viewpoint: Water Can Host Topological Waves and Synopsis: Skyrmions Made from Sound Waves). Skyrmions exhibit fascinating properties such as small size, stability, and controllability, which give them great potential for applications in spintronics, data storage, and quantum computing.

Apr 22, 2024

Quantum computers take major step forward thanks to simplified laser beam trick

Posted by in categories: computing, quantum physics

I found this on NewsBreak: Quantum computers take major step forward thanks to simplified laser beam trick.

Apr 22, 2024

Steering toward quantum simulation at scale

Posted by in categories: computing, quantum physics

I found this on NewsBreak: Steering toward quantum simulation at scale.


Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at the Department of Energy’s Oak Ridge National Laboratory.

Apr 22, 2024

Meet QDEL, the backlight-less display tech that could replace OLED in premium TVs

Posted by in categories: computing, quantum physics

Quantum dots are already moving in the premium display category, particularly through QD-OLED TVs and monitors. The next step could be QDEL, short for “quantum dot electroluminescent,” also known as NanoLED, screens. Not to be confused with the QLED (quantum light emitting diode) tech already available in TVs, QDEL displays don’t have a backlight. Instead, the quantum dots are the light source. The expected result is displays with wider color spaces than today’s QD-OLEDs (quantum dot OLEDs) that are also brighter, more affordable, and resistant to burn-in.

It seems like QDEL is being eyed as one of the most potentially influential developments for consumer displays over the next two years.

If you’re into high-end display tech, QDEL should be on your radar.

Apr 21, 2024

Intel completes assembly of first commercial High-NA EUV chipmaking tool — addresses cost concerns, preps for 14A process development in 2025

Posted by in category: computing

Transistor shrinking intensifies.

Apr 21, 2024

Turbocharged Skyrmions: Accelerating Toward the Future of Computing

Posted by in categories: computing, materials

Scientists discovered that skyrmions, potential future bits for computer memory, can now move at speeds up to 900 m/s, a significant increase facilitated by the use of antiferromagnetic materials.

An international research team led by scientists from the CNRS[1] has discovered that the magnetic nanobubbles[2] known as skyrmions can be moved by electrical currents, attaining record speeds up to 900 m/s.

Anticipated as future bits in computer memory, these nanobubbles offer enhanced avenues for information processing in electronic devices. Their tiny size[3] provides great computing and information storage capacity, as well as low energy consumption.

Apr 21, 2024

Crucial Connection Completed: Laying the Foundation for the Quantum Internet

Posted by in categories: computing, finance, internet, quantum physics

Researchers have produced, stored, and retrieved quantum information for the first time, a critical step in quantum networking.

The ability to share quantum information is crucial for developing quantum networks for distributed computing and secure communication. Quantum computing will be useful for solving some important types of problems, such as optimizing financial risk, decrypting data, designing molecules, and studying the properties of materials.

“Interfacing two key devices together is a crucial step forward in allowing quantum networking, and we are really excited to be the first team to have been able to demonstrate this.” —

Apr 20, 2024

Why it’s so hard for China’s chip industry to become self-sufficient

Posted by in categories: computing, materials

Chip companies from the US and China are developing new materials to reduce reliance on a Japanese monopoly. It won’t be easy.

Apr 20, 2024

Intel’s Hala Point, the world’s largest neuromorphic computer, has 1.15 billion neurons

Posted by in categories: computing, physics

Three years after introducing its second-generation “neuromorphic” computer chip, Intel on Wednesday announced the company has assembled 1,152 of the parts into a single, parallel-processing system called Hala Point, in partnership with the US Department of Energy’s Sandia National Laboratories.

The Hala Point system’s 1,152 Loihi 2 chips enable a total of 1.15 billion artificial neurons, Intel said, “and 128 billion synapses distributed over 140,544 neuromorphic processing cores.” That is an increase from the previous Intel multi-chip Loihi system, debuted in 2020, called Pohoiki Springs, which used just 768 Loihi 1 chips.

Sandia Labs intends to use the system for what it calls “brain-scale computing research,” to solve problems in areas of device physics, computer architecture, computer science, and informatics.

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