SEALSQ partners with Quantix Edge Security on €19.6M government-backed quantum chip facility in Murcia, Spain. Project starts H1 2026, includes QS7001 chip launch in November 2025.
Category: computing – Page 30
Compact camera uses 25 color channels for high-speed, high-definition hyperspectral video
A traditional digital camera splits an image into three channels—red, green and blue—mirroring how the human eye perceives color. But those are just three discrete points along a continuous spectrum of wavelengths. Specialized “spectral” cameras go further by sequentially capturing dozens, or even hundreds, of these divisions across the spectrum.
This process is slow, however, meaning that hyperspectral cameras can only take still images, or videos with very low frame rates, or frames per second (fps). But what if a high-fps video camera could capture dozens of wavelengths at once, revealing details invisible to the naked eye?
Now, researchers at the University of Utah’s John and Marcia Price College of Engineering have developed a new way of taking a high-definition snapshot that encodes spectral data into images, much like a traditional camera encodes color. Instead of a filter that divides light into three color channels, their specialized filter divides it into 25. Each pixel stores compressed spectral information along with its spatial information, which computer algorithms can later reconstruct into a “cube” of 25 separate images—each representing a distinct slice of the visible spectrum.
Atomic neighborhoods in semiconductors provide new avenue for designing microelectronics
Inside the microchips powering the device you’re reading this on, the atoms have a hidden order all their own. A team led by Lawrence Berkeley National Laboratory (Berkeley Lab) and George Washington University has confirmed that atoms in semiconductors will arrange themselves in distinctive localized patterns that change the material’s electronic behavior.
The research, published in Science, may provide a foundation for designing specialized semiconductors for quantum-computing and optoelectronic devices for defense technologies.
On the atomic scale, semiconductors are crystals made of different elements arranged in repeating lattice structures. Many semiconductors are made primarily of one element with a few others added to the mix in small quantities. There aren’t enough of these trace additives to cause a repeating pattern throughout the material, but how these atoms are arranged next to their immediate neighbors has long been a mystery.
Chip-scale cold atom experiments could unleash the power of quantum science in the field
Cold atom experiments are among the most powerful and precise ways of investigating and measuring the universe and exploring the quantum world. By trapping atoms and exploiting their quantum properties, scientists can discover new states of matter, sense even the faintest of signals, take ultra-precise measurements of time and gravity, and conduct quantum sensing and computing experiments.
Quantum random number generator combines small size and high speed
Researchers have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum random number generators closer to being built directly into everyday devices, where they could strengthen security without sacrificing speed.
Preserving particle physics data ensures future discoveries from collider experiments
A lot of the science from our accelerators is published long after collisions end, so storing experimental data for future physicists is crucial.
About a billion pairs of particles collide every second within the Large Hadron Collider (LHC). With them, a petabyte of collision data floods the detectors and pours through highly selective filters, known as trigger systems. Less than 0.001% of the data survives the process and reaches the CERN Data Center, to be copied onto long-term tape.
This archive now represents the largest scientific data set ever assembled. Yet, there may be more science in it than we can extract today, which makes data preservation essential for future physicists.
The System That Could Replace Binary And Change Computers FOREVER
Ternary computing uses-1, 0, and 1 instead of just 0 and 1, and for a brief moment in the 1950s, it looked like it could redefine how we build computers. A Soviet team even built a working ternary machine called Setun. So why did the world choose binary? And could ternary still make a comeback?
Sources, transcript and more available on codeolences.com.
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A new look at how the brain works reveals that wiring isn’t everything
How a brain’s anatomical structure relates to its function is one of the most important questions in neuroscience. It explores how physical components, such as neurons and their connections, give rise to complex behaviors and thoughts. A recent study of the brain of the tiny worm C. elegans provides a surprising answer: Structure alone doesn’t explain how the brain works.
C. elegans is often used in neuroscience research because, unlike the incredibly complex human brain, which has billions of connections, the worm has a very simple nervous system with only 302 neurons. A complete, detailed map of every single one of its connections, or brain wiring diagram (connectome), was mapped several years ago, making it ideal for study.
In this research, scientists compared the worm’s physical wiring in the brain to its signaling network, how the signals travel from one neuron to another. First, they used an electron microscope to get a detailed map of the physical connections between its nerve cells. Then, they activated individual neurons with light to create a signaling network and used a technique called calcium imaging to observe which other neurons responded to this stimulation. Finally, they used computer programs to compare the physical wiring map and the signal flow map, identifying any differences and areas of overlap.