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Category: computing – Page 379

Exactly like a quasicrystal, this arrangement is ordered without repetition. Similar to a quasicrystal, it’s a single-dimensional representation of a 2-dimensional pattern. As a consequence of the flattening of dimensions, the system is given two time symmetries instead of just one: the system is given another dimension of time that does not exist.

Nevertheless, quantum computers remain extremely complex experimental systems, so it is not yet known whether the benefits of the theory will hold true in actual qubits.

The experientialists tested the theory using Quantinuum’s quantum computer. Periodically and using Fibonacci sequences, laser light was pulsed at the computer’s qubits.

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Who’s doing what in next-gen chips, and when they expect to do it.

Chipmakers are gearing up for fundamental changes in architectures, materials, and basic structures like transistors and interconnects. The net result will be more process steps, increased complexity for each of those steps, and rising costs across the board.

At the leading-edge, finFETs will run out of steam somewhere after the 3nm (30 angstrom) node. The three foundries still working at those nodes — TSMC, Samsung, and Intel, as well as industry research house imec — are looking to some form of gate-all-around transistors as the next transistor structure in order to gain tighter control over gate leakage.

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In new research from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, scientists have achieved efficient quantum coupling between two distant magnetic devices, which can host a certain type of magnetic excitations called magnons. These excitations happen when an electric current generates a magnetic field. Coupling allows magnons to exchange energy and information. This kind of coupling may be useful for creating new quantum information technology devices.

“Remote coupling of magnons is the first step, or almost a prerequisite, for doing quantum work with magnetic systems,” said Argonne senior scientist Valentine Novosad, an author of the study. “We show the ability for these magnons to communicate instantly with each other at a distance.”

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Wearable sensors are ubiquitous thanks to wireless technology that enables a person’s glucose concentrations, blood pressure, heart rate, and activity levels to be transmitted seamlessly from sensor to smartphone for further analysis.

Most wireless sensors today communicate via embedded Bluetooth chips that are themselves powered by small batteries. But these conventional chips and power sources will likely be too bulky for next-generation sensors, which are taking on smaller, thinner, more flexible forms.

Now MIT engineers have devised a new kind of that communicates wirelessly without requiring onboard chips or batteries. Their design, detailed in the journal Science, opens a path toward chip-free wireless sensors.

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A team of Chinese scientists report on a new method for entangling photons that they say could make quantum networks and quantum computing more practical, according to the South China Post.

In a study published in Nature Photonics, the team from the University of Science and Technology of China said that the new way to produce entangled photons is extremely efficient. The work was led by Jian-Wei Pan, one of the world’s leading quantum researcher from the Hefei National Research Center for Physical Sciences at the Microscale, the University of Science and Technology of China and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China.

Entangled photons are needed for certain forms of quantum communication and computing. These technologies require the ability to efficiently produce large numbers of particles — in this case, photons — that can remain entangled even when separated by vast distances to process and protect information. Specifically, the technology could be used in quantum relays that are used in long-distance, attack-proof quantum communication, the newspaper reports.

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Discussion panel with:
- Swati Chavda, a science fiction writer and former brain surgeon.
- Ron S. Friedman, a science fiction writer and an Information Technologies Specialist.

August 13th 2022, When Words Collide festival.

#booktube #authortube #writingtube #braincomputerinterface #neuralink.

Relevant links:

Continue reading “Brain — Computer Interface. How this new technology will change the word” | >

If the combination of Covid-19 and remote work technologies like Zoom have undercut the role of cities in economic life, what might an even more robust technology like the metaverse do? Will it finally be the big upheaval that obliterates the role of cities and density? To paraphrase Airbnb CEO Brian Chesky: The place to be was Silicon Valley. It feels like now the place to be is the internet.

The simple answer is no, and for a basic reason. Wave after wave of technological innovation — the telegraph, the streetcar, the telephone, the car, the airplane, the internet, and more — have brought predictions of the demise of physical location and the death of cities.

Remote work has become commonplace since the beginning of the Covid-19 pandemic. But the focus on daily remote work arrangements may miss a larger opportunity that the pandemic has unearthed: the possibility of a substantially increased labor pool for digital economy work. To measure interest in digital economy jobs, defined as jobs within the business, finance, art, science, information technology, and architecture and engineering sectors, the authors conducted extensive analyses of job searches on the Bing search engine, which accounts for more than a quarter of all desktop searches in the U.S. They found that, not only did searches for digital economy jobs increase since the beginning of the pandemic, but those searches also became less geographically concentrated. The single biggest societal consequence of the dual trends of corporate acceptance of remote work and people’s increased interest in digital economy jobs is the potential geographic spread of opportunity.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.334003 data-title= Who Gets to Work in the Digital Economy? data-url=/2022/08/who-gets-to-work-in-the-digital-economy data-topic= Business and society data-authors= Scott Counts; Siddharth Suri; Alaysia Brown; Brian Xu; Sharat Raghavan data-content-type= Digital Article data-content-image=/resources/images/article_assets/2022/08/Aug22_04_509299271-383x215.jpg data-summary=

Continue reading “Who Gets to Work in the Digital Economy?” | >

Neuralink, a company co-founded by Elon Musk, has been working on an implantable brain-machine interface since 2016. While it previously demonstrated its progress by showing a Macaque monkey controlling the cursor.

It’s unclear what kind of deal Musk has offered — whether it’s a collaboration or a financial investment —since none of the players responded or confirmed the report with the news organization.

Elon Musk’s last update on Neuralink — his company that is working on technology that will connect the human brain directly to a computer — featured a pig with one of its chips implanted in its brain. Now Neuralink is demonstrating its progress by showing a Macaque with one of the Link chips playing Pong. At first using “Pager” is shown using a joystick, and then eventually, according to the narration, using only its mind via the wireless connection.

Today we are pleased to reveal the Link’s capability to enable a macaque monkey, named Pager, to move a cursor on a computer screen with neural activity using a 1,024 electrode fully-implanted neural recording and data transmission device, termed the N1 Link. We have implanted the Link in the hand and arm areas of the motor cortex, a part of the brain that is involved in planning and executing movements. We placed Links bilaterally: one in the left motor cortex (which controls movements of the right side of the body) and another in the right motor cortex (which controls the left side of the body).

Continue reading “Neuralink’s brain-computer interface demo shows a monkey playing Pong” | >