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Category: computing – Page 540

Quantum Physicists Find Paradoxical Material a Mashup of Three Different Phases at Once — “This Is Uncharted Territory”

‘Geometric frustration’ can cause the electrons in materials with atoms arranged in a triangular pattern to organize in three competing ways simultaneously, reveals a new computational study led by researchers at the Flatiron Institute.

Materials that look like mosaics of triangular tiles at the atomic level sometimes have paradoxical properties, and quantum physicists have finally found out why.

Using a combination of cutting-edge computational techniques, the scientists found that under special conditions, these triangular-patterned materials can end up in a mashup of three different phases at the same time. The competing phases overlap, with each wrestling for dominance. As a result, the material counterintuitively becomes more ordered when heated up, the scientists reported in Physical Review X.

Human Brain Signals Recorded in Record-Breaking Resolution

High-resolution recordings of electrical signals from the surface of the brain could improve surgeons’ ability to remove brain tumors and treat epilepsy, and could open up new possibilities for medium-and longer-term brain-computer interfaces.

A team of engineers, surgeons, and medical researchers has published data from both humans and rats demonstrating that a new array of brain sensors can record electrical signals directly from the surface of the human brain in record-breaking detail. The new brain sensors feature densely packed grids of either 1,024 or 2,048 embedded electrocorticography (ECoG) sensors. The paper was published by the journal Science Translational Medicine on January 19, 2022.

These thin, pliable grids of ECoG sensors, if approved for clinical use, would offer surgeons brain-signal information directly from the surface of the brain’s cortex in 100 times higher resolution than what is available today. Access to this highly detailed perspective on which specific areas of the tissue at the brain’s surface, or cerebral cortex, are active, and when, could provide better guidance for planning surgeries to remove brain tumors and surgically treat drug-resistant epilepsy.

Control Lights With Your Mind With Neurosity Crown BCI And Unity!

In today’s video I show you how the Neurosity Crown works by making a prototype to control lights which is initiated by thinking about movement of my left arm.

This Brain Computer Interface video will cover these areas:
👉 Neurosity console overview.
👉 Neurosity console left arm thoughts training with Kinesis.
👉 Extending Unity Notion SDK to subscribe to Kinesis updates and therefore get the data into Unity for further usage.
👉 Simple LightController in Unity to turn on and off lights controlled by a Philips Hue Hub.

🔥 If you want to see more BCI prototype videos be sure to share your interest in the comments.

📌 Unity Notion SDK:
https://github.com/ryanturney/notion-unity.

📌 Get The Neurosity Crown Hardware from: (Affiliate link) 👉 https://shareasale.com/r.cfm?b=1871556&u=3082665&m=116947

📌 Neurosity Developer Documentation:

Continue reading “Control Lights With Your Mind With Neurosity Crown BCI And Unity!” | >

Are researchers one step closer to developing the theory of impulse circuits?

Computers play an important role in many aspects of life today. Digital computers are the most widely used, while quantum computers are well known. However, the least known computers are the so-called Stochastic Pulse Computers. Their work is based on highly parallel logical operations between trains of electrical pulses, where the pulses occur at random times, as in neurons, the nerve cells in the brains of humans and mammals.

Elon Musk’s Neuralink Took One Step Closer to Implanting Chips Into Human Brains

Elon Musk’s Neuralink, the company that purports to implant computer chips in human brains, just took a critical step toward actually following through.

The brain implant firm is officially hiring a clinical trial director, which means Musk’s futuristic firm is finally ready, at least on its own terms, to give next-gen brain-computer interfaces (BCIs) a try.

Of course, it’s hard to imagine being the one for whom the buck stops should anything go monstrously wrong during trials. But on the other hand, if it works, this could be the beginning of a new age of sense re-immersion for countless victims of neurological disorders, brain damage, paralysis, and more.

Intel to Invest at Least $20 Billion in New Chip Factories in Ohio

Intel has selected Ohio for a new chip manufacturing complex that would cost at least $20 billion, ramping up an effort to increase U.S. production of computer chips as users grapple with a lingering shortage of the vital components.

Intel said Friday that the new site near Columbus would initially have two chip factories and would directly employ 3,000 people, while creating additional jobs in construction and at nearby businesses.

Patrick Gelsinger, who became Intel’s chief executive last year, has rapidly increased the company’s investments in manufacturing to help reduce U.S. reliance on foreign chip makers while lobbying Congress to pass incentives aimed at increasing domestic chip production. He has said that Intel might invest as much as $100 billion over a decade in its next U.S. manufacturing campus, linking the scope and speed of that expansion to expected federal grants if Congress approves a spending package known as the CHIPS Act.

Atom Computing Raises $60M Series B to Build Second-Generation Quantum Computing Systems

BERKELEY, Calif. 0, Jan. 20, 2022 — Atom Computing, the creators of the first quantum computer made of nuclear-spin qubits from optically-trapped neutral atoms, today announced closure of a $60M Series B round. Third Point Ventures led the round, followed by Primer Movers Lab and insiders including Innovation Endeavors, Venrock and Prelude Ventures. Following the completion of their first 100-qubit quantum computing system with world-record 40 second coherence times, Atom Computing will use this new investment to build their second-generation quantum computing systems and commercialize the technology.

“Atom Computing designed and built our first-generation machine, Phoenix 0, in less than two years and our team was the fastest to deliver a 100-qubit system,” said Rob Hays 0, CEO and President, Atom Computing. “We gained valuable learnings from the system and have proven the technology. The investment announced today accelerates the commercialization opportunities and we look forward to bringing this to market.”

With this new level of investment, the company will turn its focus to developing much larger systems that are required to run commercial use-cases with paradigm-shifting compute performance.

Intel has placed an order for the next-gen High-NA EUV tools to fabricate 1.8nm chips

ASML President and CTO Martin van den Brink said:

“Intel’s vision and early commitment to ASML’s High-NA EUV technology is proof of its relentless pursuit of Moore’s Law. Compared to the current EUV systems, our innovative extended EUV roadmap delivers continued lithographic improvements at reduced complexity, cost, cycle time and energy that the chip industry needs to drive affordable scaling well into the next decade.”

Intel plans to start high-volume manufacturing (HVM) in 2025, which is also when the company will be using its 18A (1.8nm) fabrication technology. To do so, Intel has been experimenting for quite a while when it first obtained ASML’s Twinscan EXE:5000, which was the industry’s first EUV scanner with a 0.55 numerical aperture. Today, the company ordered ASML’s next-generation High-NA tool, the Twinscan EXE:5200.

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