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Category: computing – Page 53

Major achievement in quantum mechanics redefines quantum computing, encryption

To those unfamiliar with quantum mechanics, the achievement might seem minor. Yet in the world of quantum research, this moment is transformative. With the ability to create quantum entanglement between two light sources, a host of commercial technologies could soon become reality.

Control over multiple quantum light sources forms the bedrock of quantum networks. Entanglement —where two light sources are linked, no matter the distance—remains a pillar of quantum physics. Without it, building fast quantum computers and developing next-generation encryption would stay out of reach.

The findings, recently published in Science, spotlight just how far the field has come. Researchers at the Niels Bohr Institute underscored the breakthrough’s major impact on the future of quantum technologies.

Gravity is Result of Computational Process within Our Universe, Physicist Says

“My findings in this study fit with the thought that the Universe might work like a giant computer, or our reality is a simulated construct,” Dr. Vopson said.

“Just like computers try to save space and run more efficiently, the Universe might be doing the same.”

“It’s a new way to think about gravity — not just as a pull, but as something that happens when the Universe is trying to stay organized.”

Brain-computer interface restores natural speech after paralysis

The system was trained to decode words and turn them into speech in increments of 80 milliseconds (0.08 seconds). For comparison, people speak about three words per second, or around 130 words per minute. The system then delivered audible words using the woman’s voice, which was captured from a recording made before the stroke.

The system was able to decode the full vocabulary set at a rate of 47.5 words per minute. It could decode a simpler set of 50 words even more rapidly, at 90.9 words per minute. That’s much faster than an earlier device the researchers had developed, which decoded about 15 words per minute with a 50-word vocabulary. The new device had a more than 99% success rate in decoding and synthesizing speech in less than 80 milliseconds. It took less than a quarter of a second to translate speech-related brain activity into audible speech.

The researchers found that the system wasn’t limited to trained words or sentences. It could make out novel words and decode new sentences to produce fluent speech. The device could also produce speech indefinitely without interruption.

This Ancient Iron Oxide Is Secretly Powering the Next Computing Revolution

Researchers at EPFL have made a breakthrough by storing and manipulating digital data using charge-free spin waves, moving toward greener, faster computing. Their latest discovery reveals that hematite, a common iron oxide, behaves in a way never before seen in magnetic materials, supporting two

Gravity May Be a Clue That The Universe Is a Giant Computer

If we were living in a computer simulation, would we be able to tell we were living in a computer simulation? It’s a question that’s difficult to answer, but physicist Melvin Vopson of the University of Portsmouth in the UK believes that he may have found a clue.

According to his latest study, gravity could be a product of computational processes within the Universe, a by-product of the Universe’s attempt to keep information and matter neatly organized in space and time.

“My findings in this study fit with the thought that the Universe might work like a giant computer, or our reality is a simulated construct,” Vopson says.

Sci-Fi: Dreaming or Downloading?

🚀 THE FUTURE OF SCI-FI: UPLIFTING OR JUST UPLOADING? 🚀
Welcome back, gang! Egotastic FunTime is blasting into another galactic rant—this time asking the big question:
Has sci-fi lost its soul? 🌌

From Star Trek’s hopeful utopias to today’s server-farmed dystopias, we’re cracking open the hard drive of the future and asking if we’re still dreaming… or just buffering forever. 🤖✨

Why is modern sci-fi obsessed with uploading instead of uplifting?

Is humanity evolving or just ghosting itself with tech?

Where did the wonder go—and can we get it back?

Grab your neural nodes and sarcastic side-eyes, because we’re deep-diving into the state of sci-fi, tech anxiety, and how imagination might just save us yet.

Continue reading “Sci-Fi: Dreaming or Downloading?” | >

Computational mechanism underlying switching of motor actions

Author summary Humans exhibit a remarkable ability to regulate their actions in response to changing environmental demands. An essential aspect of action regulation is action inhibition that occurs when stopping unwanted or inappropriate actions. However, everyday life rarely calls for complete inhibition of responses without switching behavior to adapt to new situations. Despite extensive research to understand how the brain switches actions, the computations underlying the switching process and how it relates to the selecting and stopping processes remain elusive. Part of this challenge lies in the fact that these processes are rarely studied together, making it difficult to develop a unified theory that explains the computational aspects of the action regulation mechanism. The current study aims to delineate the computations underlying action regulation functions that involve inhibitory control, explore how these functions interrelate, and how they can be implemented within brain networks, opening new avenues for future neurophysiological investigations.

Computational analysis clarifies cancer risk for families with genetic variants

QIMR Berghofer-led research has shown that new advanced computational prediction tools can improve the accuracy of genetic testing for families affected by an inherited condition that significantly increases their risk of developing cancer, paving the way to better targeted care.

The findings have been published in the American Journal of Human Genetics alongside complementary studies by international collaborators, which together show how incorporating the new computational biology tools with existing modeling methods improved the predictive power of genetic test results.

Computational tools are used to predict if and how a genetic is likely to impact the function of the protein encoded by the gene.

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