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AI and Software Development: Let the Revolution Begin | eWEEK – eWeek

Software is eating the world, Marc Andreessen so famously observed in 2011. Yet now in 2021, its time to add a new phrase to his famous truism: and artificial intelligence is eating software.

Clearly, artificial intelligence will alter the software business at every level: how applications will function, how theyll evolve, even how theyre sold. But likely the most revolutionary of these changes is how applications are created.

The AI technology driving this change is called various things, but the phrase AI-Augmented software engineering is as good as any. Youll see it perched at the top of Gartners chart of emerging technologies:

What is AI-Augmented software development? In short: its a system of development tools and platforms with AI built in that enables exponentially faster and better app creation than hand coding or traditional dev tools.

Among other advantages, the AI-driven system does the grunt work of laying out code; it can even predict or suggest code frameworks.

Perhaps most significant, AI enables less technically-inclined people to create or upgrade applications. Opening the gates of software creation to non-techies is a big disrupter they vastly outnumber the slender cohort of skilled devs. While skilled developers will move faster with AI, the large pool of non-devs could provide a generational push to innovation.

Note that Gartner puts AI-Augmented software engineering at the very peak of inflated expectations. To be sure, this idea is (mostly) still a hope for the future, and has limits even in best case.

The problem is that writing software is like any upper-end intellectual endeavor: the judgment and nuance of the human mind are required for top work. Writing software is creative, as any good dev will tell you. Just as a song cant be written by a computer (though song-like music can), a complex, new piece of software still cant be coded by an AI system.

On the other hand, an AI system learns prodigiously, so it can suggest paths that might elude the most creative human. An AI-augmented software program takes in a torrent of data; it gains knowledge (or at least data) far faster and more comprehensively than humans. It cant make the leaps of human developers, yet it can lay out patterns and fill in decision trees, or even predict future directions.

AI-augmented software development is rising in tandem with the rapidly growing low code / no code market. A low code software platform offers an easy-to-understand visual interface that enables non-techies to build or tweak applications.

Major low code platforms are beginning to incorporate AI, notably Googles AppSheet and Microsofts Power Platform. AppSheet uses natural language processing (NLP) to allow citizen developers to simply speak commands for the apps development. Although in its infancy, this use of NLP is a futurists dream creating software is as easy as talking to a computer.

AppSheet uses AI and ML to build predictive models into an application using the apps own store of data. Remarkably, Google claims that this ML-intensive task requires no prior ML experience from the developer.

Similarly, Microsofts Power Platform includes Power Automate and Power BI modules to allow a non-tech developer to design and automate analytics systems into the application with relative ease. AI really is opening doors to an entirely new group of citizen developers.

This larger group of developers is needed. Adopting AI-Augmented software development is a necessity for companies to remain competitive. Developers are expensive and in short supply: US labor statistics indicate that there were 1.4 million computing science jobs that were unfilled in 2020. Companies routinely face challenges in hiring software developers.

Clearly, AI-augmented software will dramatically shape the future: When writing software is as accessible as writing a detailed report, the pace of business will change in ways that arent fully predictable. Some reasonable assumptions:

Data explosion: Its likely that most of the apps created with AI-assisted tools will mine, manipulate, or present data. Any capable staffer will be able to find new ways to use data for competitive advantage; your average sale rep will be altering apps to learn more about prospects. The end result is that data mining will grow even more parabolically than it is today.

Security concerns: Its reasonable to assume that lower level staffers wont be able to code an application that will allow a major cyber attack; to prevent this, AI-augmented platforms will we hope have guardrails to block cybersecurity vulnerabilities by rookie devs. Yet with such vastly larger brigades of citizen developers, building so many intricate structures getting more advanced as AI advances its likely that well see security holes.

AI builds AI: In a boost to AI, AI-Augmented development platforms will be used to create more artificial intelligence capability. The process will fuel self-referential exponential growth: a tool that uses AI will create AI products, which in turn allows faster and more advanced building of AI-boosted applications. It is, perhaps, a dizzying prospect. Where the future takes us in this regard is hard to say. But when futurists talk about the singularity when machines gain true independence then this AI builds AI aspect clearly suggests it.

Democratization of Tech: Certainly, the greatest effect of AI-augmented software is the democratization of software development and technology overall. Cloud computing allowed small companies (even startups) to rent a data center and so compete with far larger outfits. Similarly, AI-augmented software platforms will allow smaller companies to build out big time competitive infrastructure.

Bottom line: we will soon look back at todays non-AI based software and wonder, how did we get anything done with these applications?

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Will Palantir Be Worth More Than IBM by 2025? – Motley Fool

Palantir (NYSE:PLTR) and IBM (NYSE:IBM) are two very different types of tech companies. Palantir's market value has tripled since its direct listing last September, thanks to the robust growth of its data mining and AI platforms. IBM, which went public 110 years ago, has lost about a fifth of its value over the past decade as it struggled to grow its legacy businesses.

Palantir is now worth $56 billion, while IBM is worth $123 billion. But could Palantir's market value soar and eclipse Big Blue's by 2025? Let's dive deeper into both companies' plans for the future to find out.

Image source: Getty images.

Palantir's revenue rose 47% to $1.1 billion in 2020, and it expects its revenue to rise more than 30% annually from 2021 to 2025 -- which implies it will generate at least $4 billion in revenue in 2025.

Palantir's stock currently trades at 37 times this year's sales. If it maintains that premium price-to-sales ratio, it could be worth $148 billion by the beginning of 2025, and be more valuable than today's IBM.

Palantir expects that growth to be driven by the expansion of its two core platforms: Gotham, which serves government clients; and Foundry, which provides lighter versions of those services for enterprise clients. Its third platform, Apollo, provides cloud-based updates to both platforms.

Palantir expects Gotham, which accumulates and analyzes intel from a wide range of disparate sources, to become the "default operating system for data across the U.S. government." Gotham already serves all branches of the U.S. military, the FBI, CIA, ICE, and other agencies, and it will likely gain even more contracts as the government upgrades its technological infrastructure.

Palantir's hardened reputation could also convince more enterprise customers to use Foundry to analyze their data and optimize their businesses.

IBM's annual revenue declined from $99.9 billion in 2010 to $73.6 billion in 2020. Throughout that lost decade, IBM divested its weaker businesses and attempted to expand its cloud-oriented businesses.

Unfortunately, IBM couldn't offset the slower growth of its legacy hardware, software, and IT services businesses with the expansion of those newer cloud businesses. It also struggled to keep pace with Amazon, Microsoft, and Alphabet's Google in the public cloud market.

IBM's turnaround strategy, which is being led by a new CEO who took the helm last April, is to divest its slower-growth managed infrastructure services segment into a new company called Kyndryl by the end of 2021. It then plans to improve the "new" IBM's hybrid cloud and AI businesses, which were accelerated by its acquisition of Red Hat two years ago, to generate fresh sales growth.

After it completes Kyndryl's spin-off, IBM expects to grow its revenue by the mid-single-digits in 2022 and beyond. However, Kyndryl's businesses generated more than a quarter of IBM's total revenue last year, so the "new" IBM could be valued at roughly three-quarters of the "old" IBM.

If the "new" IBM grows its revenue 5% annually through 2025, it could generate about $70 billion in annual revenue by the final year. IBM currently trades at just 1.6 times this year's sales. But if IBM's newfound growth convinces investors to pay a slightly higher price-to-sales ratio of 2.0, the "new" IBM might be worth about $140 billion by 2025.

If Palantir achieves its ambitious growth targets, its stock could certainly be worth more than the "new" IBM by 2025. However, Palantir will still likely be worth less than the combined value of IBM and Kyndryl, which might grow faster as a stand-alone IT services company that isn't burdened with supporting IBM's higher-growth hybrid cloud and AI businesses.

Palantir and IBM should still appeal to different types of investors over the next four years, but I believe the former will remain a stronger investment than the latter. Palantir's stock is pricier, but its core businesses will likely keep expanding as IBM tries to streamline its sprawling business.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

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Assessing the intersection of open source and AI – VentureBeat

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!

Open source technology has been a driving factor in many of the most innovative developments of the digital age, so it should come as no surprise that it has made its way into artificial intelligence as well.

But with trust in AIs impact on the world still uncertain, the idea that open source tools, libraries, and communities are creating AI projects in the usual wild west fashion is creating yet more unease among some observers.

Open source supporters, of course, reject these fears, arguing that there is just as little oversight into the corporate-dominated activities of closed platforms. In fact, open source can be more readily tracked and monitored because it is, well, open for all to see. And this leaves us with the same question that has bedeviled technology advances through the ages: Is it better to let these powerful tools grow and evolve as they will, or should we try to control them? And if so, how and to what extent?

If anything, says Analytics Insights Adilin Beatrice, open source has fueled the advance of AI by streamlining the development process. There is no shortage of free, open source platforms capable of implementing even complex types of AI like machine learning, and this serves to expand the scope of AI development in general and allow developers to make maximum use of available data. Tools like Weka, for instance, allow coders to quickly integrate data mining and other functions into their projects without having to write it all from scratch. Googles TensorFlow, meanwhile, is one of the most popular end-to-end machine learning platforms on the market.

And just as weve seen in other digital initiatives, like virtualization and the cloud, companies are starting to mix-and-match various open source solutions to create a broad range of intelligent applications. Neuron7.ai recently unveiled a new field service system capable of providing everything from self-help portals to traffic optimization tools. The system leverages multiple open AI engines, including TensorFlow, that allow it to not only ingest vast amounts of unstructured data from multiple sources, such as CRM and messaging systems, but also encapsulate the experiences of field techs and customers to improve accuracy and identify additional means of automation.

One would think that with open source technology playing such a significant role in the development of AI that it would be at the top of the agenda for policy-makers. But according to Alex Engler of the Brookings Institution, it is virtually off the radar. While the U.S. government has addressed open source with measures like the Federal Source Code Policy, more recent discussions on possible AI regulations mention it only in passing. In Europe, Engler says open source regulations are devoid of any clear link to AI policies and strategies, and the most recently proposed updates to these measures do not mention open source at all.

Engler adds that this lack of attention could produce two negative outcomes. First, it could result in AI initiatives failing to capitalize on the strengths that open source software brings to development. These include key capabilities like increasing the speed of development itself and reducing bias and other unwanted outcomes. Secondly, there is the potential that dominance in open source solutions could lead to dominance in AI. Open source tends to create default standards in the tech industry, and while top open source releases from Google, Facebook, and others are freely available, the vast majority of projects they support are created from within the company that developed the framework, giving them an advantage in the resulting program.

This, of course, leads us back to the same dilemma that has plagued emerging technologies from the beginning, says the IEEEs Ned Potter. Who should draw the roadmap for AI to ensure it has a positive impact on society? Tech companies? The government? Academia? Or should it simply be democratized and let the market sort it out? Open source supporters tend to favor a free hand, of course, with the idea that continual scrutiny by the community will organically push bad ideas to the bottom and elevate good ideas to the top. But this still does not guarantee a positive outcome, particularly as AI becomes accessible to the broader public.

In the end, of course, there are no guarantees. If weve learned anything from the past, mistakes are just as likely to come from private industry as from government regulators or individual operators. But there is a big difference between watching and regulating. At the very least, there should be mechanisms in place to track how open source technologies are influencing AI development so at least someone has the ability to give a heads up if things are heading in a wrong direction.

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Clinical Significance and Underlying Mechanisms of CELSR3 in Metastatic Prostate Cancer Based on Immunohistochemistry, Data Mining, and In Silico…

This article was originally published here

Cancer Biother Radiopharm. 2021 Sep 28. doi: 10.1089/cbr.2021.0178. Online ahead of print.

ABSTRACT

Background: The treatment and survival rate of patients with metastatic prostate cancer (MPCa) remain unsatisfactory. Herein, the authors investigated the clinical value and potential mechanisms of cadherin EGF LAG seven-pass G-type receptor 3 (CELSR3) in MPCa to identify novel targets for clinical diagnosis and treatment. Materials and Methods: mRNA microarray and RNA-Seq (n = 1246 samples) data were utilized to estimate CELSR3 expression and to assess its differentiation ability in MPCa. Similar analyses were performed with miRNA-221-3p. Immunohistochemistry performed on clinical samples were used to evaluate the protein expression level of CELSR3 in MPCa. Based on CELSR3 differentially coexpressed genes (DCEGs), enrichment analysis was performed to investigate potential mechanisms of CELSR3 in MPCa. Results: The pooled standard mean difference (SMD) for CELSR3 was 0.80, demonstrating that CELSR3 expression was higher in MPCa than in localized prostate cancer (LPCa). CELSR3 showed moderate potential to distinguish MPCa from LPCa. CELSR3 protein expression was found to be markedly upregulated in MPCa than in LPCa tissues. The authors screened 894 CELSR3 DCEGs, which were notably enriched in the focal adhesion pathway. miRNA-221-3p showed a significantly negative correlation with CELSR3 in MPCa. Besides, miRNA-221-3p expression was downregulated in MPCa than in LPCa (SMD = -1.04), and miRNA-221-3p was moderately capable of distinguishing MPCa from LPCa. Conclusions: CELSR3 seems to play a pivotal role in MPCa by affecting the focal adhesion pathway and/or being targeted by miRNA-221-3p.

PMID:34582697 | DOI:10.1089/cbr.2021.0178

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Scientists discover spin polarization induced by shear flow – EurekAlert

image:Fig. 1. left: the polarization induced by the vortical flow; right: the polarization induced by the shear flow. Red and yellow arrows represent the spin and momentum directions, respectively. view more

Credit: Shuai Liu

Chinese researchers recently discovered a new effect that can generate spin-polarization in fluid. The new effect, which is called "shear-induced polarization (SIP)," predicts that shear flow can induce polarization in the momentum space.

This research was conducted by scientists from the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences (CAS), together with their collaborators at Peking University and Central China Normal University, who studied polarization induced by shear flow for the first time. Their discoveries were published inPhysical Review LettersandJournal of High Energy Physics.

In flowing fluid, one may observe some special patterns of the flow field, such as those formed by the vortical flow, which rotates around a center and is related to the orbital angular momentum of the fluid. Due to spin-orbit coupling, the orbital angular momentum of the vortical flow can transfer to the spin of a particle. This vorticity-induced spin polarization hasbeen observed in a quantum fluid.

Besides vortical flow, shear flow is also quite common in fluids. However, it is far less intuitive how shear flow is related to angular momentum. Thus, how it affects spin polarization has never been investigated before.

In this research, using relativistic many-body quantum theory and linear response theory, the researchers systematically studied spin polarization in a hydrodynamic medium.They discovered that shear flow, although not intuitively related to orbital angular momentum, also generates spin polarization in the momentum space through spin-orbit coupling.

Employing a relativistic hydrodynamic model, the researchers then investigated how this new SIP effect manifests in relativistic heavy-ion collisions. Since previous studies do not include the SIP effect, their predictions always have the opposite sign compared to experimental observations. This discrepancy is sometimes called the "spin-sign puzzle"and has bothered the research community for several years.

However, once the SIP effect is included, the strange quark polarization predicted by the theory demonstrates a pattern similar to the measured Lambda polarization in experiments.

Considering the close relationship between strange quark polarization and Lambda polarization, thecurrent study is expected to be an essential step toward the final solution of the spin-sign puzzle.

This work was supported by the National Natural Science Foundation of China and the Strategic Priority Research Program of CAS.

Physical Review Letters

Experimental study

Not applicable

Shear-Induced Spin Polarization in Heavy-Ion Collisions

30-Sep-2021

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Physics – The Women Who Win – Physics

Since winning the Nobel Prize in Physics, Strickland says that she feels that more people in her community pay attention to her voice. Also, she now has seats on various government-led research organizations in Canada and the US, which she never had before.

The award has opened up opportunities for conveying to nonscientists what scientists do and why, something I embrace, Schleier-Smith says. These opportunities range from interviewing with National Public Radio to sitting on a career panel for high school students. I love the fact that the MacArthur has led to invitations to speak to so many different audiences.

Ive always believed tremendously in the value of visible role models, Ghez says. Ghez makes herself visible by teaching introductory undergraduate classes, where, she says, she can shape the next generations ideas about who can be a scientist.

As a woman of color, I have faced a myriad of challenges within and outside of science, Nissanke says, adding that she uses the attention garnered from her prize to advocate for diversity in science. She says that, with more role models speaking up about racism and sexism in science and then promoting change from within, she hopes that people from all backgroundsand not just privileged oneswill consider careers in physics or astronomy. The night skies are for everyone, she says.

UCLA Galactic Center Group

UCLA Galactic Center Group

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Singapores NUS and Thales to develop quantum technologies for commercial applications – Tech Wire Asia

An engineer adjusts a laser to test chips with waveguides for quantum computing. (Photo by THOMAS KIENZLE / AFP)

Quantum computing applications may not be particularly mainstream now, although quantum computing as a field has been growing at an accelerated rate these past few years.

While the frequently-bandied about term may sound intimidating, quantum computing is essentially computing that can be performed at speeds and efficiencies far, far superior to what typical computers can do today. In short computing on steroids.

Aside from university labs, were already seeing it being used in a few sectors, such as cybersecurity, pharmaceuticals, and even logistics. Indeed, quantum computing has come a rather long way, in a short amount of time, mainly because of the immense benefit it can give to quickly compute and thus, analyze massive sets of data at breakneck speeds.

The rise of quantum computing has Big Tech to thank giants such as Microsoft, Amazon, Google, and IBM have been heavily investing in developing quantum computing and related technologies in recent years. The same has gone for governments such as China, South Korea, India, and Japan, all of whom have invested in or are planning to invest in developing this technology.

Just last month, UK-based Oxford Quantum Circuits launched the worlds first commercially available QCaaS (Quantum Computing as a Service), even. Prior to OQC, both Amazon and Honeywell had worked on developing and piloting commercial QCaaS.

Earlier this week, the National University of Singapores (NUS) Singapores Quantum Engineering Programme (QEP) announced that they would be working with Thales to develop and test quantum technologies for industry use.

The Memorandum of Understanding (MoU) signed on 29 September marks the start of a two-year partnership to jointly develop and test quantum technologies for commercial applications.

A Memorandum of Understanding was inked by (front row, from left) Professor Chen Tsuhan, Deputy President (Research and Technology), National University of Singapore, and Mr Kevin Chow, Country Director and Chief Executive, Thales in Singapore. The signing was witnessed by (back row, from left) Mr Ling Keok Tong, Director (Smart Nation and Digital Economy), National Research Foundation, Singapore, and Mr Chen Guan Yow, Vice President and Head (New Businesses), Economic Development Board. (IMG/Thales)

Under the MoU, Singapores Quantum Engineering Programme (QEP) and Thales aim to advance quantum technologies and prepare industry players for their arrival. The partnership will see industry and academic experts from Thales and QEP develop capabilities to test and evaluate interdisciplinary quantum security technologies.

They will also explore potential research collaboration opportunities in the fields of new materials and design for quantum sensing. Additionally, they will organise joint activities such as seminars and conferences to share their expertise and showcase their research outcomes.

The Quantum Engineering Programme (QEP) is an initiative launched in 2018 by the National Research Foundation, Singapore (NRF) and hosted at NUS. The projects under the collaboration span technologies for security and sensing, and involve QEP researchers across Singapores institutes of higher learning and research centres.

Professor Chen Tsuhan, NUS Deputy President (Research & Technology), said, Building on this momentum, QEPs partnership with Thales, a forerunner in the quantum revolution, will accelerate innovation and development of quantum solutions that are commercially attractive locally and globally.

With its track record in developing security and cybersecurity equipment, Thales will make available its SafeNet Luna Hardware Security Modules (HSMs) and high-speed network encryptors that support interfaces to quantum devices for research use.

The algorithms and quantum random number generation technology in these types of equipment provide the crypto-agility to easily implement quantum-safe crypto and combat the threats of quantum computing. This equipment would be deployed for proof-of-concept trials and testbeds in Singapore.

In May 2021, Thales launched a network encryption solution capable of protecting enterprise data from future quantum cyber-attacks. It supplements standard encryption with a scheme resistant to quantum computing that is under consideration for international standards.

Quantum technologies open almost infinite possibilities for the future and our researchers see real potential in three types of quantum applications, namely in sensors, communications and post-quantum cryptology, shared Mr Kevin Chow, Country Director and Chief Executive, Thales in Singapore.

Thales, which has 33,000 engineers across the world, also aims to be a key player in what is often called the second quantum revolution, which exploits subtle properties of quantum physics and requires mastery of the associated technologies.

Thales collaboration with QEP is a strong testament to the companys approach towards using quantum technologies to solve real-world, end-user challenges.

According to Chow, while this initial partnership will involve their network encryption technology to provide crypto-agility and cybersecurity, Thales will continue to work with the R&T ecosystem in Singapore to explore new topics, including using novel materials for quantum sensing or in secured communications in quantum technologies.

Additionally, the joint team of scientists and engineers will also develop devices that tap on quantum physics for higher performance. According to QEP, this is an area of focus under Singapores Research, Innovation and Enterprise 2025 Plan (RIE2025).

Mr Ling Keok Tong, Director (Smart Nation and Digital Economy) at NRF shared that quantum communications and security, as well as quantum devices and instrumentation, are two significant focus areas under the QEP.

Jamilah Lim| @TechieKitteh

Jam (she/they) is the editor of Tech Wire Asia. They are a humanist and feminist with a love for science and technology. They are also cognizant of the intersectionality of the above with ethics, morality, and its economic/social impact on people, especially marginalized/underdeveloped communities.

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The 5 Best Fall Books of 2021, According to Morning Brew Staffers – Morning Brew

Move over BookTok, the Brew Crews Fall reading list is full of gems.

With Teeth by Kristen Arnett

Kristen Arnett is my favorite author. Her fiction is *chefs kiss* and I love her use of humor and how gross she writes. This novel is a super fun read and also a little heartbreaking.Matty Merritt, daily writer

Beautiful World, Where Are You by Sally Rooney

Sally Rooney has a weird obsession with thinness, but otherwise this is the perfect, Get in gang, were going crying book to start off my seasonal depression.Susanna Vogel, HR Brew reporter

A Tale for the Time Being by Ruth Ozeki

A delightful and sometimes dark mystery that intersperses deep examinations of quantum physics and Japanese mythology with the interconnected worlds between a 16-year-old narrator and an American novelist with writers block. Its one of my favorite books about time.Gillian Zamora, director of product management

South Riding by Winifred Holtby

Winifred Holtby raced against the clock to finish this sweeping novel of a seaside English village. In addition to her own quickly approaching death, Holtby was also clearly aware of the coming Second World War. Both of these looming disasters shine through in her quiet meditation of life in a small village and the people and motivations to improve it.Michael Ferrante, integrated marketing director

Her Body and Other Parties by Carmen Maria Machado

This beautifully written collection of horror short stories is perfect for spooky season. If youve ever wondered what happened to the girl with the green ribbon around her neck (you know, from the story that traumatized you in childhood), start with The Husband Stitch. You will cry.Amanda Mier, social media coordinator

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Physicists Probe Light Smashups To Guide Future Research Beyond the Standard Model – SciTechDaily

Rice physicists teamed with colleagues at Europes Large Hadron Collider to study matter-generating collisions of light. Researchers showed the departure angle of debris from the smashups is subtly distorted by quantum interference patterns in the light prior to impact. Credit: Illustration by 123rf.com

Understanding photon collisions could aid search for physics beyond the Standard Model.

Hot on the heels of proving an 87-year-old prediction that matter can be generated directly from light, Rice University physicists and their colleagues have detailed how that process may impact future studies of primordial plasma and physics beyond the Standard Model.

We are essentially looking at collisions of light, said Wei Li, an associate professor of physics and astronomy at Rice and co-author of the study published in Physical Review Letters.

We know from Einstein that energy can be converted into mass, said Li, a particle physicist who collaborates with hundreds of colleagues on experiments at high-energy particle accelerators like the European Organization for Nuclear Researchs Large Hadron Collider (LHC) and Brookhaven National Laboratorys Relativistic Heavy Ion Collider (RHIC).

Accelerators like RHIC and LHC routinely turn energy into matter by accelerating pieces of atoms near the speed of light and smashing them into one another. The 2012 discovery of the Higgs particle at the LHC is a notable example. At the time, the Higgs was the final unobserved particle in the Standard Model, a theory that describes the fundamental forces and building blocks of atoms.

Rice physics professor Wei Li (left) and postdoctoral research associate Shuai Yang teamed with colleagues at the Large Hadron Colliders (LHC) Compact Muon Solenoid experiment to study matter-generating collisions of light that occurred in heavy ion experiments at LHC. Yang lead-authored a newly published study that detailed how the departure angle of debris from the smashups is subtly distorted by quantum interference patterns prior to impact. Credit: Photo by Jeff Fitlow

Impressive as it is, physicists know the Standard Model explains only about 4% of the matter and energy in the universe. Li said this weeks study, which was lead-authored by Rice postdoctoral researcher Shuai Yang, has implications for the search for physics beyond the Standard Model.

There are papers predicting that you can create new particles from these ion collisions, that we have such a high density of photons in these collisions that these photon-photon interactions can create new physics beyond in the Standard Model, Li said.

Yang said, To look for new physics, one must understand Standard Model processes very precisely. The effect that weve seen here has not been previously considered when people have suggested using photon-photon interactions to look for new physics. And its extremely important to take that into account.

The effect Yang and colleagues detailed occurs when physicists accelerate opposing beams of heavy ions in opposite directions and point the beams at one another. The ions are nuclei of massive elements like gold or lead, and ion accelerators are particularly useful for studying the strong force, which binds fundamental building blocks called quarks in the neutrons and protons of atomic nuclei. Physicists have used heavy ion collisions to overcome those interactions and observe both quarks and gluons, the particles quarks exchange when they interact via the strong force.

But nuclei arent the only things that collide in heavy ion accelerators. Ion beams also produce electric and magnetic fields that shroud each nuclei in the beam with its own cloud of light. These clouds move with the nuclei, and when clouds from opposing beams meet, individual particles of light called photons can meet head-on.

In a PRL study published in July, Yang and colleagues used data from RHIC to show photon-photon collisions produce matter from pure energy. In the experiments, the light smashups occurred along with nuclei collisions that created a primordial soup called quark-gluon plasma, or QGP.

At RHIC, you can have the photon-photon collision create its mass at the same time as the formation of quark-gluon plasma, Yang said. So, youre creating this new mass inside the quark-gluon plasma.

Yangs Ph.D. thesis work on the RHIC data published in PRL in 2018 suggested photon collisions might be affecting the plasma in a slight but measurable way. Li said this was both intriguing and surprising, because the photon collisions are an electromagnetic phenomena, and quark-gluon plasmas are dominated by the strong force, which is far more powerful than the electromagnetic force.

To interact strongly with quark-gluon plasma, only having electric charge is not enough, Li said. You dont expect it to interact very strongly with quark-gluon plasma.

He said a variety of theories were offered to explain Yangs unexpected findings.

One proposed explanation is that the photon-photon interaction will look different not because of quark-gluon plasma, but because the two ions just get closer to each other, Li said. Its related to quantum effects and how the photons interact with each other.

If quantum effects had caused the anomalies, Yang surmised, they could create detectable interference patterns when ions narrowly missed one another but photons from their respective light clouds collided.

So the two ions, they do not strike each other directly, Yang said. They actually pass by. Its called an ultraperipheral collision, because the photons collide but the ions dont hit each other.

The Compact Muon Solenoid experiment at the European Organization for Nuclear Researchs Large Hadron Collider. Credit: CERN

Theory suggested quantum interference patterns from ultraperipheral photon-photon collisions should vary in direct proportion to the distance between the passing ions. Using data from the LHCs Compact Muon Solenoid (CMS) experiment, Yang, Li and colleagues found they could determine this distance, or impact parameter, by measuring something wholly different.

The two ions, as they get closer, theres a higher probability the ion can get excited and start to emit neutrons, which go straight down the beam line, Li said. We have a detector for this at CMS.

Each ultraperipheral photon-photon collision produces a pair of particles called muons that typically fly from the collision in opposite directions. As predicted by theory, Yang, Li and colleagues found that quantum interference distorted the departure angle of the muons. And the shorter the distance between the near-miss ions, the greater the distortion.

Li said the effect arises from the motion of the colliding photons. Although each is moving in the direction of the beam with its host ion, photons can also move away from their hosts.

The photons have motion in the perpendicular direction, too, he said. And it turns out, exactly, that that perpendicular motion gets stronger as the impact parameter gets smaller and smaller.

This makes it appear like somethings modifying the muons, Li said. It looks like one is going at a different angle from the other, but its really not. Its an artifact of the way the photons motion was changing, perpendicular to the beam direction, before the collision that made the muons.

Yang said the study explains most of the anomalies he previously identified. Meanwhile, the study established a novel experimental tool for controlling the impact parameter of photon interactions that will have far-reaching impacts.

We can comfortably say that the majority came from this QED effect, he said. But that doesnt rule out that there are still effects that relate to the quark-gluon plasma. This work gives us a very precise baseline, but we need more precise data. We still have at least 15 years to gather QGP data at CMS, and the precision of the data will get higher and higher.

Reference: Observation of Forward Neutron Multiplicity Dependence of Dimuon Acoplanarity in Ultraperipheral Pb-Pb Collisions at sNN=5.02TeV by A.M. Sirunyan et al. (CMS Collaboration), 17 September 2021, Physical Review Letters.DOI: 10.1103/PhysRevLett.127.122001

LHC and CMS are supported by the European Organization for Nuclear Research, the Department of Energy, the National Science Foundation and scientific funding agencies in Austria, Belgium, Brazil, Bulgaria, China, Colombia, Croatia, Cyprus, Ecuador, Estonia, Finland, France, Germany, Greece, Hungary, India, Iran, Ireland, Italy, South Korea, Latvia, Lithuania, Malaysia, Mexico, Montenegro, New Zealand, Pakistan, Poland, Portugal, Russia, Serbia, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Turkey, Ukraine and the United Kingdom.

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Physicists Probe Light Smashups To Guide Future Research Beyond the Standard Model - SciTechDaily

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Bitcoin retakes $47,000 in broad crypto rally as anxiety eases over regulation – Yahoo Finance

Bitcoin (BTC-USD) spiked by more than 10% on Friday, joining cryptocurrencies in a broad relief rally as investors cheered constructive remarks from officials about the industry's regulation.

Battered by developments in China and a volatile environment for risk appetite, digital currencies had a rough September. However, signals this week from U.S. regulators also appear to have given sentiment a boost, sending Bitcoin to its biggest intraday rally since July.

Other cryptocurrencies like Ethereum (ETH-USD), Cardano (ADA-USD) and Dogecoin (DOGE-USD) followed suit, adding at least 6% on the day.

Traditionally, with Bitcoin, September is the weakest month, so yes, were finally out of September, CryptosRus Founder George Tung told Yahoo Finance.

"Also there's just a lot going on. Yesterday we had a $3 billion options expiry for Bitcoin," Tung explained. "That could have been holding Bitcoin back this final week but now we're in October and things are looking a whole lot better."

On Wednesday, Securities and Exchange Commission (SEC) Chair Gary Gensler reiterated his support for approving a Bitcoin exchange-traded fund (ETF) for U.S. investors, even as the agency has been criticized for some of its efforts to oversee the crypto industry.

And Federal Reserve Chair Jerome Powell eased fears even more for U.S. crypto asset holders by telling Congress he had "no intention" of banning cryptocurrencies, including stablecoins. However, like Treasury Secretary Janet Yellen, he does see a reason to regulate stablecoins.

With Wall Street indices under pressure, the leap in crypto prices suggested a de-coupling from stocks and other risk-sensitive assets. Last week, digital coins sank alongside stocks on news that Chinese real estate company, Evergrande could be headed for default, or a government bailout.

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More uncertainty weighed on the market last Friday, when the Chinese government doubled down on its crypto mining crackdown by outlawing trading in all cryptocurrencies and related services.

"Crypto is rallying today because of regulation," Matthew Hougan Chief Investment Officer of the crypto asset manager, Bitwise, told Yahoo Finance. "We should get used to that sentence because I think you are going to hear it a lot in the next year."

Hougan believes that Powell's clarification, in addition to reports that the Biden administration is looking to regulate stablecoins but not outright ban them, has "salved the market's worst fears about regulatory overreach."

Those fears, Hougan said, have been holding back what would otherwise be a very strong market. "Crypto has so many tailwinds right now: The growth of DeFi, exploding interest in NFTs, the rise of Web 3.0, the entry of institutional investors, surging venture capital investment," said Hougan.

Despite the crypto sector's rapid growth, both traditional U.S. based institutional investors as well as average Americans are still looking for safer opportunities to invest into cryptocurrencies.

Bakkt President Adam White told Yahoo Finance that for many institutional investors, betting on crypto involves "having exposure to assets like bitcoin." Financial offerings like regulated custody for crypto assets and futures allow institutions to ease into the sector in a way that feels familiar and safe, White added.

A Bitcoin ETF presents even greater access, mostly by deepening the links between cryptocurrencies and the U.S. financial sector.

It could also send BTC on another bullish leap. The benefits of a crypto sector fund are numerous, Gabor Gurbacs, VanEck's Director of Digital Asset Strategy, told Yahoo Finance.

"You basically get the benefits of the US capital markets that are currently not available for Bitcoin and other digital assets," said Gurbacs whose team has worked on launching ETFs for the last five years.

"With a crypto ETF, you get better price transparency, better holdings transparency, straightforward tax documents, more liquidity and protections for us," he added.

Currently, the SEC is reviewing dozens of Bitcoin ETF proposals. Many of their approvals have been pushed to the end of this year.

David Hollerith covers cryptocurrency for Yahoo Finance. Follow him @dshollers.

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For more information about cryptocurrency, check out:

Dogecoin, what is it? How to buy it

Ethereum: What is it and how do you invest in it?

The top 21 crypto leaders to watch in the back half of 2021

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Bitcoin retakes $47,000 in broad crypto rally as anxiety eases over regulation - Yahoo Finance

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