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Category: computing – Page 564

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.

Major Breakthrough As Quantum Computing in Silicon Hits 99% Accuracy

UNSW Sydney-led research paves the way for large silicon-based quantum processors for real-world manufacturing and application.

Australian researchers have proven that near error-free quantum computing is possible, paving the way to build silicon-based quantum devices compatible with current semiconductor manufacturing technology.

“Today’s publication in Nature shows our operations were 99 percent error-free,” says Professor Andrea Morello of UNSW, who led the work.

Quantum computing in silicon hits 99% accuracy

UNSW Sydney-led research paves the way for large silicon-based quantum processors for real-world manufacturing and application.

Australian researchers have proven that near error-free quantum computing is possible, paving the way to build silicon-based compatible with current semiconductor manufacturing technology.

“Today’s publication in Nature shows our operations were 99 percent error-free,” says Professor Andrea Morello of UNSW, who led the work.

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