Page 2,547«..1020..2,5462,5472,5482,549..2,5602,570..»

Conservative pundit Ann Coulter speaks at Glass Hall – Standard Online

Ann Coulter, conservative pundit, author and lawyer, was invited by MSU chapter Turning Point USA and Leadership Institute to give her speech, Liberals Gone Mad and Republicans Sleep.

Coulter spoke on crime, immigration and the danger of wokeness on Oct. 21 at Glass Hall. Students, staff and members of the community attended.

Posters of Coulters past quotes were displayed around campus and captioned, Your ideas are not welcome here. Certain posters featured Coulters quotes about her belief in taking the right to vote away from women.

A question from the audience gave Coulter a chance to elaborate and affirm her belief. She said, Wed just be so much better off if women didnt vote. She explained, I suspect it is because women see the government as their husbands. She said women vote for costly bills such as childcare and healthcare.

Turning Point USA is a student organization for conservative thinkers and challenges the liberal bias on college campuses. President Brett Dudenhoeffer said he was happy to have Coulter speak on campus.

Ian Tucker, a sophomore, said it was exciting and nice to have a conservative speaker on campus, especially since he is a political science major.

Subscribe to The Standard's free weekly newsletterhere.

Follow this link:
Conservative pundit Ann Coulter speaks at Glass Hall - Standard Online

Read More..

Book review: ‘Going There’ | Work | bgdailynews.com – Bowling Green Daily News

Going There by Katie Couric. Little, Brown. 510 pp. $30. Review provided by The Washington Post.

A crucial element of a successful morning show is the impression that the hosts sitting behind the desk really like the audience and one another. When that impression breaks down, when viewers detect tension or worse they often revolt, and ratings slide (see: Jane Pauley and Ann Curry).

No such indignity befell Katie Couric during her 15 years as the reigning queen of morning television at the Today show. Cheery, prepared and endlessly good-natured, Couric became Americas sweetheart.

But that was not the full picture. Couric warns in her new memoir, Going There, that as much as people thought they knew her, they saw only a neatly cropped version. Though she seemed so familiar, she writes that real life the complications and contradictions, the messy parts remains outside the frame.

Couric attempts to fill in those messy parts, to demystify herself and the world she inhabits. What readers learn is that behind that chipper veneer there was a sharper-edged, savvier figure quietly taking notes and judging everyone.

If she is attempting to prove that she is not as nice as her on-air persona, she succeeds.

Her descriptions can be unsparing. As a 22-year-old desk assistant, she spots the legendary White House correspondent Helen Thomas, whom she describes as looking like a harried housewife in a sea of men. CNN founder Ted Turner delivers slurred speeches and appears to be three sheets to the wind. It took prison time for Martha Stewart to develop a sense of humor. Prince Harry reeks of cigarettes, and alcohol seems to ooze from every pore.

If Courics memoir settles scores, it also forces her to reckon with her past self. Looking back at her old interviews, she finds that she has a lot of explaining to do. She cringes when she examines some of her choices, like when she repeatedly highlighted White crime victims rather than Black ones, or the cutthroat booking wars between dueling shows that racked up professional wins and losses as a result of so much violence and misery. She admits censoring part of Justice Ruth Bader Ginsburgs criticism of Colin Kaepernick because she was a big RBG fan and wanted to protect her from a blind spot.

She excavates skeletons, including those in her family tree, which is blighted with racists on one side and holds nearly hidden Judaism on the other. Her grandfather gifted her father with a first edition of The Clansman: An Historical Romance of the Ku Klux Klan, with a glowing inscription to never destroy the book. Her first husband, Jay Monahan, was a fan of the Confederacy and Civil War reenactments; Couric honored this with an Old South-themed 40th birthday party for him. He died two years later of colon cancer, a death she mourns to this day, even as her daughters continue to struggle with his legacy.

Couric, now at retirement age, feels like shes writing from a bygone era. She started her career in the time of The Mary Tyler Moore Show, transfixed by the ambitious, independent heroine setting out for a career in TV news. Her reaction: Gee ... I want to turn the world on with my smile too!

And she did. Courics rise begins during her early years at ABC News, where she encountered media stars such as Sam Donaldson, Brit Hume and Carl Bernstein, who was the new Washington bureau chief seven years after breaking Watergate with Bob Woodward.

She moves to the nascent CNN, where, after an on-air appearance, the president of the network calls Courics boss to say he never wants to see you on air again. The lesson she took was not that she should find another profession but that she just needed to practice this one a bit more.

She moved to Atlanta to work as an associate producer but never gave up the dream of being on air. She visited a voice coach to learn how to speak with a deeper tenor.

An early hero is Pauley, a Today show co-host. Couric writes of attending an industry black-tie dinner where her knuckles thrillingly grazed Pauleys gown. Afterward, she and her colleague went home and French-braided their hair just like Pauleys.

But her real North Star is her father, who had to give up print journalism for a more lucrative profession in public relations to support the family. Couric writes lovingly about how she was always trying to impress him and to use her success as a way to make up for his forced departure from journalism.

Her ascent occurs against a backdrop of constant, casual sexism. She recounts the time as a young CNN staffer when Larry King came on to her The lunge. The tongue. The hands. She writes of a superior at CNN who said in front of a group that she was successful because of her determination, hard work, intelligence and breast size. (Couric wrote him a memo demanding an apology, which he grudgingly provided.)

Later, at NBC, after she rose to co-host the Today show alongside Matt Lauer, Couric writes that salacious tales about who was shagging whom were practically part of the news cycle. Women had to navigate: Some cheerfully deflected advances, defusing the moment with humor. Others willingly participated, having flings for the fun of it, a no-harm-no-foul mentality. Some leveraged the situation, accommodating a supervisors desires for the sake of their careers. Still others objected and risked being marginalized, demoted, even fired for some cooked-up reason.

Throughout, Couric balances her success as the upbeat gal on the morning show with her craving to be taken seriously. Her desire to impress her father and make her mark never escaped her and eventually led her to become the first female solo anchor of a nightly news broadcast, at CBS News.

There, she encountered what she describes as real, career-blunting sexism. She reserves particular ire for the now-disgraced Jeff Fager of 60 Minutes, with a receding hairline and puffy eyelids, whom she describes as cutting her out of big stories and undermining her at every turn.

By this point, Couric had long been uber-wealthy, her life buffered from reality by live-in help, cars and drivers, and fame. But her failure to hold on to her serious journalism job at CBS News left her dejected and defeated. She moved to a short-lived syndicated talk show, then to Yahoo and then later to the safety of her own production company.

Toward the end of the book, when Lauer was ousted from NBC and the Today show amid allegations of sexual harassment and assault, Couric professes confusion about the beloved co-host she knew and the sexual predator she was reading about. These pages are a navigational challenge for Couric, as she threads her way through reputational land mines that she barely escapes. But with Lauer protected all around by professional sycophants and facilitators, Couric was hardly the only one who didnt pick up on his transgressions. She produces real-time texts as evidence of their deteriorating rapport; eventually, she realized that their relationship was so broken by the scandal that theyd never speak again.

One cant help but feel that Couric got out of the highest-profile part of the business in the nick of time. When she interviewed Ann Coulter in 2002, she found her hate-based non-logic hard to respond to. How would Couric manage the moment we live in now, with near-constant attacks on the mainstream media?

She doesnt need to worry much about how she fits into the media landscape today. She and her husband are wealthy enough to have created Katie Couric Media, a company where she can practice journalism exactly how she wants, without having to rely on some network bozo to decide if shes still got it.

Couric has not written a capital-J journalism tome, self-righteously outlining the highest ideals of her profession. Rather, she pulls back the curtain on her life and times in the business, with much to celebrate and apologize for.

Most of the tabloid attention on the memoir focuses on the criticisms Couric doles out to fellow famous media and political types. Her cohort may be offended by the anecdotes she has shared.

But as she blows up the charade of her chipper morning-show self, she is getting the thing that matters most in media, regardless of age or experience: attention.

Reviewed by Sarah Ellison, who is a staff writer for The Washington Post.

More here:
Book review: 'Going There' | Work | bgdailynews.com - Bowling Green Daily News

Read More..

GitHub – deepmind/deepmind-research: This repository …

GitHub - deepmind/deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications Files Permalink Failed to load latest commit information.

Type

Name

Latest commit message

Commit time

This repository contains implementations and illustrative code to accompanyDeepMind publications. Along with publishing papers to accompany researchconducted at DeepMind, we release open-sourceenvironments,data sets,and code toenable the broader research community to engage with our work and build upon it,with the ultimate goal of accelerating scientific progress to benefit society.For example, you can build on our implementations of theDeep Q-Network orDifferential Neural Computer, or experimentin the same environments we use for our research, such asDeepMind Lab orStarCraft II.

If you enjoy building tools, environments, software libraries, and otherinfrastructure of the kind listed below, you can view open positions to work inrelated areas on our careers page.

For a full list of our publications, please seehttps://deepmind.com/research/publications/

This is not an official Google product.

This repository contains implementations and illustrative code to accompany DeepMind publications

Read this article:
GitHub - deepmind/deepmind-research: This repository ...

Read More..

Why DeepMind Acquired This Robotics Startup – Analytics India Magazine

Earlier this week, Alphabet-owned DeepMind acquired a physics simulation platform MuJoCo, which stands for Multi-Joint Dynamics with Contact.

After the acquisition, the DeepMind Robotics Simulation team, which had been using MuJoCo in the past, is planning to fully open-source the platform in 2022 and make it freely available for everyone to support research everywhere.

Check out the GitHub repository of MuJoCo here. This will be its future home for this platform. However, for now, you can download the latest version of MuJoCo 2.1.0 for free on its website.

MuJoCo was first developed by Emo Todorov for Roboti and was available as a commercial product from 2015 to 2021. After DeepMind acquired MuJoCo, it is making it freely available to everyone. However, the details of the financial transactions are yet to be disclosed.

Post-acquisition, Roboti will continue to support existing paid licenses until they expire. In addition, the legacy MuJoCo release (versions 2.0 and earlier) will remain available for download, with a free activation key file, valid until October 2031.

MuJoCo is a physics engine that aims to facilitate research and development in robotics, graphics, biomechanics, animation, and other domains requiring fast and accurate simulation. It is one of the first full-featured simulators designed from scratch for model-based optimisation, particularly through contacts.

The platform makes it possible to scale up computationally intensive techniques such as optimal control, physically consistent state estimation, system identification and automated mechanism design and apply them to complex dynamical systems in contact-rich behaviours. Plus, it has more traditional applications such as testing and validating control schemes before deployment on physical robots, interactive scientific visualisation, virtual environments, animation, and gaming.

DeepMind MuJoCo is not alone. Other simulator platforms include Facebooks Habitat 2.0 and AI2s ManipulaTHOR. However, what sets them apart is its contact model, which accurately and efficiently captures the salient features of contacting objects. Like other rigid-body simulators, it avoids the fine details of deformations at the contact site and often runs much faster than in real-time.

Unlike other simulators, MuJoCo resolves contact forces using the convex Gauss Principle, said the DeepMind Robotics Simulation team. The convexity ensures unique solutions and well-defined inverse dynamics. Plus, the model is flexible, providing multiple parameters which are tuned to approximate a wide range of contact phenomena.

Further, the DeepMind team said that their platform is based on real physics and takes no shortcuts. According to them, many simulations were initially designed for purposes like gaming and cinema; they sometimes take shortcuts that prioritise stability over accuracy. For example, they may ignore gyroscopic forces or directly modify velocities.

That, in the context of optimisation, can be particularly harmful. In contrast, MuJoCo is a second-order continuous-time simulator, implementing the full equations of motion. In other words, MuJoCo closely adheres to the equations that govern our world non-trivial physical phenomena like Newtons Cradle, and unintuitive ones like the Dzhanibekov effect, happens naturally.

The team also said that the MuJoCo core engine is written in pure C, making it easily portable to various architectures. In addition to this, the platform also provides fast and convenient computations of commonly used quantities, like kinematic Jacobians and inertia matrices.

MuJoCo offers powerful scene descriptions. It uses cascading defaults avoiding multiple repeated values and contains elements for real-world robotic components like tendons, actuators, equality constraints, motion-capture markers, and sensors. Soon, it plans to include standardising MJCF as an open format to extend its usefulness beyond the MuJoCo ecosystem.

Besides this, MuJoCo includes two powerful features that support musculoskeletal models of humans and animals. It captures the complexity of biological muscles, including activation states and force-length-velocity curves.

DeepMind has been heavily investing in robotics research. Recently, it introduced RGB-Stacking, a new benchmark for vision-based robotic manipulation.

The recent acquisition comes at a time when there is a dearth of data in robotics research. This is one of the reasons why DeepMinds arch-rival OpenAI went on to shut down its robotics arm indefinitely. But, this is not stopping DeepMind, as its teams are trying to get around this paucity of data with a technique called sim-to-real, in a big way.

Now, with the acquisition of MuJoCo, open-sourcing the library seems like a smooth move for the company, and surely going to benefit the robotics ecosystem as a whole.

See the rest here:
Why DeepMind Acquired This Robotics Startup - Analytics India Magazine

Read More..

Deeper Is Not Necessarily Better: Princeton U & Intel’s 12-Layer Parallel Networks Achieve Performance Competitive With SOTA Deep Networks -…

While it is generally accepted that network depth is responsible for the high performance of todays deep learning (DL) models, adding depth also brings downsides such as increased latency and computational burdens, which can bottleneck progress in DL. Is it possible to achieve similarly high performance without deep networks?

In the new paper Non-deep Networks, a research team from Princeton University and Intel Labs argues that it is, proposing ParNet (Parallel Networks), a novel non-deep architecture that achieves performance competitive with its state-of-the-art deep counterparts.

The team summarizes their studys contributions as:

The main design feature of ParNet is its use of parallel subnetworks or substructures (referred to as streams in the paper) that process features at different resolutions. The features from different streams are fused at a later stage in the network used for downstream tasks. This approach enables ParNet to function effectively with a network depth of only 12 layers, orders of magnitude lower than ResNet models, for example, which in extreme cases can include up to 1000 layers.

A key ParNet component is its RepVGG-SSE, a modified Rep-VGG block with a purpose-built Skip-Squeeze-Excitation module. ParNet also contains a downsampling block that reduces resolution and increases width to enable multi-scale processing, and a fusion block that combines information from multiple resolutions.

In their empirical study, the team compared the proposed ParNet with state-of-the-art deep neural networks baselines such as ResNet110 and DenseNet on large-scale visual recognition benchmarks that included ImageNet, CIFAR and MS-COCO.

The results show that a ParNet with a depth of just 12 layers was able to achieve top-1 accuracies of over 80 percent on ImageNet, 96 percent on CIFAR10, and 81 percent on CIFAR100. The team also demonstrated a detection network with a 12 layer backbone that achieved an average precision of 48 percent on the MS-COCO large-scale object detection, segmentation and captioning dataset.

Overall, the study provides the first empirical proof that non-deep networks can perform competitively with their deep counterparts on large-scale visual recognition benchmarks. The team hopes their work can contribute to the development of neural networks that are a better fit for future multi-chip processors.

The code is available on the projects GitHub. The paper Non-deep Networks is on arXiv.

Author: Hecate He |Editor: Michael Sarazen

We know you dont want to miss any news or research breakthroughs.Subscribe to our popular newsletterSynced Global AI Weeklyto get weekly AI updates.

Like Loading...

Go here to read the rest:
Deeper Is Not Necessarily Better: Princeton U & Intel's 12-Layer Parallel Networks Achieve Performance Competitive With SOTA Deep Networks -...

Read More..

How AI is reinventing what computers are – MIT Technology Review

Fall 2021: the season of pumpkins, pecan pies, and peachy new phones. Every year, right on cue, Apple, Samsung, Google, and others drop their latest releases. These fixtures in the consumer tech calendar no longer inspire the surprise and wonder of those heady early days. But behind all the marketing glitz, theres something remarkable going on.

Googles latest offering, the Pixel 6, is the first phone to have a separate chip dedicated to AI that sits alongside its standard processor. And the chip that runs the iPhone has for the last couple of years contained what Apple calls a neural engine, also dedicated to AI. Both chips are better suited to the types of computations involved in training and running machine-learning models on our devices, such as the AI that powers your camera. Almost without our noticing, AI has become part of our day-to-day lives. And its changing how we think about computing.

What does that mean? Well, computers havent changed much in 40 or 50 years. Theyre smaller and faster, but theyre still boxes with processors that run instructions from humans. AI changes that on at least three fronts: how computers are made, how theyre programmed, and how theyre used. Ultimately, it will change what they are for.

The core of computing is changing from number-crunching to decision-making, says Pradeep Dubey, director of the parallel computing lab at Intel. Or, as MIT CSAIL director Daniela Rus puts it, AI is freeing computers from their boxes.

The first change concerns how computersand the chips that control themare made. Traditional computing gains came as machines got faster at carrying out one calculation after another. For decades the world benefited from chip speed-ups that came with metronomic regularity as chipmakers kept up with Moores Law.

But the deep-learning models that make current AI applications work require a different approach: they need vast numbers of less precise calculations to be carried out all at the same time. That means a new type of chip is required: one that can move data around as quickly as possible, making sure its available when and where its needed. When deep learning exploded onto the scene a decade or so ago, there were already specialty computer chips available that were pretty good at this: graphics processing units, or GPUs, which were designed to display an entire screenful of pixels dozens of times a second.

Anything can become a computer. Indeed, most household objects, from toothbrushes to light switches to doorbells, already come in a smart version.

Now chipmakers like Intel and Arm and Nvidia, which supplied many of the first GPUs, are pivoting to make hardware tailored specifically for AI. Google and Facebook are also forcing their way into this industry for the first time, in a race to find an AI edge through hardware.

For example, the chip inside the Pixel 6 is a new mobile version of Googles tensor processing unit, or TPU. Unlike traditional chips, which are geared toward ultrafast, precise calculations, TPUs are designed for the high-volume but low-precision calculations required by neural networks. Google has used these chips in-house since 2015: they process peoples photos and natural-language search queries. Googles sister company DeepMind uses them to train its AIs.

In the last couple of years, Google has made TPUs available to other companies, and these chipsas well as similar ones being developed by othersare becoming the default inside the worlds data centers.

AI is even helping to design its own computing infrastructure. In 2020, Google used a reinforcement-learning algorithma type of AI that learns how to solve a task through trial and errorto design the layout of a new TPU. The AI eventually came up with strange new designs that no human would think ofbut they worked. This kind of AI could one day develop better, more efficient chips.

The second change concerns how computers are told what to do. For the past 40 years we have been programming computers; for the next 40 we will be training them, says Chris Bishop, head of Microsoft Research in the UK.

Traditionally, to get a computer to do something like recognize speech or identify objects in an image, programmers first had to come up with rules for the computer.

With machine learning, programmers no longer write rules. Instead, they create a neural network that learns those rules for itself. Its a fundamentally different way of thinking.

Read the rest here:
How AI is reinventing what computers are - MIT Technology Review

Read More..

Incorporating This Into Your Daily Routine Can Bolster Your Brain Health & Mood – mindbodygreen.com

Spirituality and the brain: Whats the connection? Well admit, the neuroscience has been a bit limited (even though research has gotten closer to mapping the specific brain circuit responsible for spirituality), but Lisa Miller, Ph.D., an award-winning researcher in spirituality and psychology and the author of The Awakened Brain, is on the case.

Specifically, she combed through MRI scans of participants who have struggled with feelings of sadness (blues) to assess whether a sense of spirituality had any effect on their mental well-beingand, frankly, the results are astounding. People who [had] a spiritual response to suffering showed entirely different brains, she says on this episode of the mindbodygreen podcast. They showed not thinning but thickening across the regions of perception and reflection, the parietal, precuneus, and occipital [regions].

In other words, a sense of spirituality can have a huge impact on your brain health and mood. The question becomes: How do you incorporate spirituality into your everyday life? According to Miller, a deep sense of awareness is not tied to religion, per serather, the ability to connect spiritually is innate within us. We are all born with this capacity to see into the deeper nature of life, but the muscle has been left to atrophy in the great majority of people in our country, she says.

Below, she offers her personal tips to flex those spiritual muscles.

See the original post here:
Incorporating This Into Your Daily Routine Can Bolster Your Brain Health & Mood - mindbodygreen.com

Read More..

The Ideal Color To Surround Yourself With Right Now, According To Astrologers – mindbodygreen.com

Scorpio season can be a heavy and intense time, especially if Scorpio placements in your birth chart are scarce and you're not used to its qualities. To ease into it, and even harness its potent and mysterious energy, consider incorporating Scorpio colors into your life from October 23 to November 22.

Don't shy away from your dark-colored clothes at this time, especially blacks and deep reds. (Just in time for Halloween, right?) And it doesn't have to stop at your wardrobe! Maybe you opt for some new decor in your home or office, swapping out a brightly colored piece of art for a darker, more brooding one.

If you normally shy away from looks like dark lipstick, (vegan) leather, and things of the like, now's the time to embrace them. And on that same note, you might also want to avoid lighter colors like pastels, that don't complement Scorpio's palette. Libra, for example, is associated with pinks and bluesand we're leaving that energy behind come October 23.

Read more:
The Ideal Color To Surround Yourself With Right Now, According To Astrologers - mindbodygreen.com

Read More..

Oregon-based artist makes disappearing sculptures inspired by physics – OregonLive

Julian Voss-Andreaes quantum sculptures are a combination of art and science that reflect his background in both fields.

While studying physics in Europe in 1999, Voss-Andreae asked himself what it would feel like to be a quantum object moving through time and space. Later, after moving to Portland and enrolling at the Pacific Northwest College of Art, he used the same idea to create what he calls an intuitively simple sculpture.

Quantum Man, which is now displayed at the Maryhill Museum of Art in Goldendale, Washington, was the result. While conceptually the project came together just as he had hoped, Voss-Andreae was surprised by how visually striking it proved to be.

It looks solid from both sides, but directly from one angle, it seems to disappear, Voss-Andreae said. And I felt this was a really interesting connection with how quantum physics tells us that everything depends on your perspective.

His quantum sculptures are made up of a series of metal plates that define cross-sections of the figure being depicted. Theyre welded together, spaced apart by strategically placed pins. In quantum physics, Voss-Andreae said, an object is described as wavefronts running perpendicular to its direction of movement. The metal plates of his sculptures represent these wavefronts.

Voss-Andreaes quantum sculptures have been included in public and private art collections worldwide. In Portland, The Reader, which depicts a cross-legged woman reading a book in her lap, can be seen at Portland Community Colleges Southeast Campus.

-- Dave Killen

Go here to read the rest:

Oregon-based artist makes disappearing sculptures inspired by physics - OregonLive

Read More..

Nanotech Solution: Research Unveils How Edgy Light on Graphene May Lead to Single Route of Information – Science Times

For a while, graphene has been a concentration of strong research in both academic and industrial backgrounds because of its unusual electrical conduction properties.

A Phys.orgreport said, as the slimmest material known to humans, graphene is particularly two-dimensional and has photonic and electronic properties from conventional 3D materials.

Researchers at Purdue University, including Todd Van Mechelen, Wenbo Sun, and Zubin Jacob, have found and shown in their research that the viscous fluid of graphene, the colliding electrons in solids with behavior similar to fluids, support unidirectional electromagnetic waves specifically on edge.

On the other hand, such edge waves are linked to a new topological stage of matter and signify a transition of phase in the material, not unlike the switch from solid to liquid.

ALSO READ: Physicists Discover Multilayered Heterostrcuture Platform to Achieve Ultrastrong Photon-to-Magnon Coupling

(Photo: Jynto on Wikimedia Commons)Comparison STM topographic image of a section of graphene sheet with spectroscopy images of electron interference

One notable feature of this new phase of graphene is that light travels a single direction along the edge of the material and is vigorous to disorder, deformation, and imperfections.

Researchers at Purdue have attached this nonreciprocal impact to developing "topological circulations," one-way routers of indications, the tiniest in the world, that could eventually be a breakthrough for on-chip, all-optical procedure.

Essentially, circulators are a fundamental building block in the so-called integrated optical circuits. However, they have resisted miniaturization due to their bulky mechanisms and the narrow bandwidth of the existing technologies.

Also indicated in the study published in the journal, Nature Communications, topological circulations are overcoming this by being both broadband and ultra-subwavelength, enabled by an extraordinarily electromagnetic phase of matter.

Applications for such technology comprise information routing and interconnects between classical and quantum computing systems.

According to a BBVAreport, to understand how quantum computing works and quantum mechanics on which it is based, there is a need to look back to the beginning of the 20th century, "when this physical theory was originally raised."

Among other subjects of research, quantum physics started with the study of the particles of an atom, including its electrons at a microscopic scale, something that has never been done in the past.

Doctor in theoretical physics, high school teacher, and advisor to an exhibition hosted at the Center of Contemporary Culture of Barcelona called Quantum, Arnau Riera defines the term as a conceptual change.

In the classical world, the systems' properties being studied are well defined. On the other hand, in the quantum world, this is not the case in which particles can have different values. They are not secluded subjects, and their states are weak, Riera explained.

In classical computing, the expert also said, "We know how to solve problems," because of computer language used when programming. More so, operators not feasible in bit computing can be carried out with a quantumcomputer.

In quantum computing, all numbers and probabilities that can be developed with the so-called N qubits are superimposed with 1,000 qubits, the exponential probabilities go far beyond those that are done in classical computing.

Related information about the graphene light project is shown Charbax's YouTube video below:

RELATED ARTICLE: Obtaining Motional Ground State of Larger-Scale Object Made Possible by Physics Experts

Check out more news and information on Nanotechnologyin Science Times.

Read more here:

Nanotech Solution: Research Unveils How Edgy Light on Graphene May Lead to Single Route of Information - Science Times

Read More..