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World’s most popular car brands through the eyes of artificial intelligence – Hippo Leasing

With the recent invention of artificial intelligence or AI being able to generate imagery, here at Hippo Leasing, we thought wed see how AI Image Generators would interpret, and consequently create, imagery based on what car manufacturers say about the design of their vehicle.

As a result, we have taken snippets of the descriptions used by car manufacturers about the design of their cars. These words were then inputted into AI Image Generators to see how the same car would look through the eyes of AI.

According to Car Industry Analysis, the most popular hatchback worldwide on the market today is the Toyota Corolla. When referring to the Toyota website, they describe the Corolla as having:

a distinctive and strikingly sleek exterior, which can be made even more eye-catching with a variety of bi-tone paint options. A low bonnet increases the drivers field of vision while an impressive wide grill and stand-out LED headlights add to the refined profile.

AI Input Criteria

We then input certain words and phrases from the description provided by Toyota into AI Imagery Generator DALL.E mini by Craiyon, which creates a collage of nine different images based on the entered information. These were:

Car / distinctive / strikingly sleek / eye-catching / bi-tone paint colours / impressive wide grille / refined profile.

Image Generated

The AI Image Generator then produced the following

As you can see from the image generated, the AI pictured a much sleeker and sportier car than anticipated. The Toyota Corolla is the manufacturers flagship hatchback and does have a sporty-look variant in its GR SPORT model, however, the AI seems to have gone a step further and developed a car with a more polished sports-coupe feel.

We then followed the same methodology for other popular cars to see if the AI could get any closer to the actual real-life vehicles.

Toyota describe the RAV4 as:

Powerful with a real road presence, the RAV4s strong body draws the eye from the elegant front LED headlights, along the bold silhouette and through to the unique LED rear lights producing a look that is individual and refined.

AI Input Criteria

SUV, powerful, strong body, elegant, unique, individual, refined.

Image Generated

The AI certainly captured the SUV element here, with all images generating large 44 type cars. It could be argued, however, that the elegant and refined elements of Toyotas RAV4 are missing though, with the AI producing a far bolder and boxier look to its cars that resemble something more like a Mercedes-Benz G-Class.

Fords F-150 might not be available in the UK, but it doesnt stop the American go-to truck from being the worlds most popular Pick-Up Truck. Fords website uses words and phrases to describe their F-150, such as:

Tough and productive, supreme comfort, off-roader, and big front grille.

AI Input Criteria

Pick-up truck, tough, productive, comfort, off-roader, big front grille.

Image Generated

As you can see, the AI has managed to produce a car that genuinely resembles an F-150 pretty closely, which is remarkable. The big grille and tough looks are definitely captured in these images, especially those on the top line.

Ford also has two of the most popular cars worldwide when figures are broken down into body types. In the sports car category, their Mustang tops the charts. Ford describes the Mustang as:

Streamlined, aeronautically inspired, an icon, fun, has new unique colour choices, and aerodynamic.

AI Input Criteria

Sports car, streamlined, aeronautical, iconic, fun, unique colours, aerodynamic.

Image Generated

Wow! Has there ever been a greater contrast in styles? Sports car, streamlined, aeronautical, iconic, fun, unique colours and aerodynamic are all certainly apparent, but the AI seems to have taken a 1950s concept car theme for the vehicles it has generated. The complete opposite end of the scale to how Fords ferocious-looking Mustang has been designed.

Tesla has taken the world by storm and has been a key trailblazer when it comes to electric cars. Their Model 3 is currently the most popular EV, and their site describes its design as:

Built for safety, brighter, more spacious and enhanced comfort.

As this wasnt too much to go off, we researched how others described the design of the Tesla Model 3, such as Business Insider, who said the Model 3 was:

Subtle, graceful, disciplined, and restrained.

AI Input Criteria

Electric car, subtle, graceful, disciplined, restrained, safe, bright, spacious, comfortable.

Image Generated

The AI interestingly sees the Tesla Model 3 in a much more futuristic way and has lent on a design very reminiscent of early EV concept art, where cars went from saloon-type shapes to smaller and almost bubble-like in design. We see a little bit of the BMW i meets the Seat Ami here.

The Corolla covered earlier is also a Hybrid, so next on the list is Hondas CR-V, which sold over 900,000 units and was the third best-selling car last year. Honda describes their hybrid as:

The spaciousness, combined with its distinctive, sporty design, provides real driving pleasure for you and your passengers The CR-V is so spacious. The open, airy feeling creates a relaxing and comfortable ambience combined with the practicality and convenience of a large boot.

AI Input Criteria

Hybrid car, spacious, distinctive, sporty, relaxing, comfortable, practical, convenient.

Image Generated

The AIs version of a Honda CR-V is quite accurate in comparison to other attempts at recreating the types of cars. The size and shape of the cars in particular are pretty close to the real CR-V, as well as the overall look and feel.

The Nissan Sentra is another car not available in the UK, but outside the UK its the best-selling saloon with nearly 700,000 units sold last year worldwide. Nissan describes the Sentra as:

Crisp and modern, the 2022 Sentra features advanced technology and a premium feel inside and out.

They also refer to the Sentra as:

Compact, stylish, sculpted, painstakingly crafted, serious attitude, sport-inspired, aggressive, powerful, exciting, crisp and modern, and sporty.

AI Input Criteria

Sedan, crisp, modern, premium, compact, stylish, aggressive, powerful, exciting sporty.

Image Generated

Similarly, to the Honda CR-V, the AIs attempt at recreating the Nissan Sentra is relatively accurate. Its created a saloon car with an executive feel and in the right colour scheme and style of the American-based saloon.

As you can see from the images generated by the AI, some get pretty close to how the actual cars look in real life and then some are a complete contrast.

The AI did a really good job at recreating the Ford F-150, with the first row, in particular, looking almost identical. It also did pretty well with the Honda CR-V and Nissan Sentra, getting the overall size and shape of the cars accurate as well as some of the styling features too.

At the other end of the scale, we have the images generated of the Ford Mustang, a tough, bold and fierce-looking muscle car.

After looking into how AI Imagery Generators perceive different cars using their features, we then wondered how theyd interpret manufacturers slogans and/or taglines.

Slogan/Tagline = Vorsprung durch Technik (Progress Through Technology)

Image Generated

The AI has interpreted Progress Through Technology by generating what appears, for the most part, to be holographic images of Earth, with some showing human hands interacting with the hologram. Could this be the AI telling us that well be able to interact, or control, our planet through technology in the future?

Slogan = Sheer Driving Pleasure

Image Generated

AI seems to picture Sheer Driving Pleasure as a nice drive in the countryside on a summers day. It does seem pleasurable.

Slogan = Best or Nothing

Image Generated

We have no idea what the AI has in mind when it comes to Best or Nothing. But what we do know is that it is very, very weird.

Slogan = The Power of Dreams

Image Generated

The visualisation the AI has come up with for The Power of Dreams seems logical, although somewhat trippy, and a little bit spiritual/Godly at the same time.

Slogan = The Art of Performance

Image Generated

The Art of Performance through the eyes of AI is quite interesting, as it appears to focus on the theatrical version of performance, instead of other things such as mechanical performance or athletic performance.

Slogan = Lets Go Places

Image Generated

The AI seems to want a trip to the beach, as all the imagery it has produced from the phrase Lets Go Places pretty much centres around a seaside setting.

Slogan = Movement that inspires

Image Generated

The AI has interpreted Movement that inspires as dance.

Slogan = Simply Clever

Image Generated

Were not entirely sure what the AIs goal was when visualising Simply Clever, but it seems to be Art of some kind or a new form of typography, maybe?

Slogan = The Future is Sustainable

Image Generated

Green is the theme that the AI has produced when visualising The Future is Sustainable. It pictures what seems to be a green version of Earth, sometimes cupped in human hands.

Slogan = Drive your Ambition

Image Generated

The AI has produced a varied assortment of visuals for Mitsubishis Drive your Ambition slogan. We get a curved road in most pictures, some with a human either on or to the side of them, and some show people looking out of the window while parked by the side of the road.

We then thought, what would happen if you input the same criteria into other AI Image Generators? Will we get the same outcome or something entirely different?

As you can see, theres a huge difference in how the various AI Image Generators interpret Audis Vorsprung durch Technik slogan. In comparison to how DALL.E mini visualised the slogan, Hypotenuse AI delivered two medieval, yet futuristic, sets of armour. Dream AI produced a rather odd timeline-looking visual, which goes up to 2080, and Night Cafe produced a landscape picture of what looks like another world close to Earth, in the future.

As for the comparison between Tesla Model 3s, the AIs definitely still interpreted things differently, however, its a lot closer than Audis slogan. Theyve all created a curvy car, and picture it in a futuristic, clean design. The only main differences are that all except Hypotenuse shape the car in a bubble-like, small hatchback style, and all except Dream have the majority of the car coloured white.

We hope you enjoyed seeing artificial intelligence interpretations of the worlds most popular cars. If you would like to lease one of the real most popular cars, you can with Hippo Leasing. If you need any help or have any questions, please feel free to get in touch and one of our team will be on hand to assist you with anything you need.

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World's most popular car brands through the eyes of artificial intelligence - Hippo Leasing

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Trusted Customer Experiences and Payments Innovation Driven by Artificial Intelligence – Global Banking And Finance Review

Yuval Marco, General Manager, Enterprise Fraud Management, NICE Actimize

By Yuval Marco, General Manager, Enterprise Fraud Management, NICE Actimize

Innovation is inextricably linked to financial services and payments, with most financial institutions focusing on payments and streamlined customer experience as the primary focus of their strategic direction. However, innovation doesnt come without risk, and financial institutions require financial crime technologies utilizing artificial intelligence (AI) and machine learning (ML) to realize the optimal customer experience.

Supporting best-in-class customer experience (safely) and maintaining competitive advantages requires strategic investment and monumental change across your financial crime and compliance programs.

While payments innovation has increased access to banking and facilitated instant payments, which are highly beneficial to the customer, they have also drawn interest from fraudsters looking to exploit the instant movement of money. As a result, customers are being targeted for various scams, and financial institutions are in the middle of balancing risk and customer experience in an instant payment environment and undergoing a liability shift. This shift in liability for fraud loss associated with scams from the consumer to the bank are due to the prevalence and sophistication of such complex scams as social engineering, Authorized Push Payment fraud, and romance scams.

Digital Innovation Speeds Fraud Detection

Fraud loss associated with these scams continues to grow significantly in 2022, supported by fraudsters ability to access personally identifiable information on the deep and dark web and weaponize it against their victims. Technology will advance and focus on these themes, particularly on the influence of the compromised PII. The increased speed of fraud detection is at the nexus of supporting payments innovation and customer experience. Led by the digital acceleration and infrastructure changes over the past two years, the new ISO 20022 standardization will enable safer and faster payments with compliance being adopted by new real-time payment entrants such as FedNow, RTR, SWIFTNet Instant, P27 as well as current real-time payment rails.

In addition, AI and ML will be necessary for an intelligent fraud prevention strategy that utilizes automation and decreases friction across the payment lifecycle. The industry will also see fraud strategy and prevention teams shift from simple risk mitigation to forceful business enablers as a smoother frictionless Customer Experience (CX) becomes increasingly improved. CX is no longer a nice to have but a key focus for fraud teams at financial institutions and within contact centers the by-product of digital banking and faster payment.

These interactions must be seamless and secure. As a result, we now see fraud and risk mitigation teams placed more directly in the middle of CX conversations. In other key impact points, identity fraud continues to accelerate and expand to become a core component of payments fraud, money mules, and account takeover. Specific to the US, the Federal Reserve has created a new definition and classifier for Synthetic Identity Fraud (SIF) as they have acknowledged the significant risk these manipulated and fake identities pose as well as the need to fully track fraud losses associated with SIF and build strategies to deter them from being created.

Frictionless Customer Experience Key to Retention

Within the past few years, many financial institutions grappled with the impact of the pandemic. Concerning fraud, payments related to reimbursements afforded consumers and businesses

during this timeframe were the perfect target for fraudsters. Post pandemic, as financial services institutions pivot from storefronts to a dominant online, digital environment, customer

satisfaction and frictionless customer experiences has become even more critical to retaining customers and competing in a digital world.

Fraudsters will continue to refocus their efforts in 2022 by attacking a banks or other corporates assets by perpetrating fraud schemes and flooding traditional payment channels. Increasingly, the industry is seeing well-trained, funded, and equipped fraudsters able to commit fraud at scale using advanced tools and technology, creating a trend of Industrialized Fraud. This was manifested throughout 2021 in the form of business email compromise along with the uptick of ransomware that continues to become more pronounced throughout 2022.

Payments innovation, such as next-generation payment products that include QR, BNPL, Crypto, and Biometric, will also be focused on improving the customer experience led by advancements in digital acceleration and newly adopted infrastructure put in place over the past two years. As a result, faster payments will become more prevalent and even faster.

For example, the new ISO 20022 standardization will offer a universal messaging language that will allow machines to read messages with better automation and faster resolution. According to a 2022 Frost & Sullivan The North American Enterprise Fraud Management Industry Excellence in Best- Practices report, The need for machine learning and advanced analytics to counter sophisticated attacks is paramount; fraud solutions must maintain a friction right customer experience and manage immense volumes of data. FIs must support increased customer interactions across newer digital channels; they must implement appropriate fraud prevention without compromising on customer experience.

Regardless of the trend, artificial intelligence is at the core of advancements that will drive process improvements that ultimately lead to exceptional customer experiences and a more competitive position in the market for the financial institution that implements them in their technology and infrastructure strategy moving forward.

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Trusted Customer Experiences and Payments Innovation Driven by Artificial Intelligence - Global Banking And Finance Review

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Artificial Intelligence to act as catalyst in India’s transformation into a developed nation by 2047: Piyush.. – ETCIO

Union Minister of Commerce and Industry, Consumer Affairs, Food and Public Distribution and Textiles Piyush Goyal on Friday said Artificial Intelligence will help the country become a developed nation by 2047. "AI will act as a catalyst in India's journey towards becoming a developed nation by 2047 and bring prosperity to every citizen of this country," the minister said while addressing the 3rd edition of Global Artificial Intelligence Summit & Awards in New Delhi.

Goyal said Artificial intelligence will truly be a catalyst in India's development journey, and added that The Make in India program when juxtaposed with AI technology, will enable India to become the factory of the world providing both equipment and technology to the world. He noted that the huge talent pool available in the country will definitely help in exploring newer ways to take AI in every sector of economic activity. The minister appreciated the Department of Science and Technology for its wonderful work in supporting the efforts of the scientific community of the country over the years, and particularly during the challenging times of Covid.

The government is using AI to redefine the way it works, he said citing the example of Unified Logistics Interface Platform (ULIP), which is leveraging AI to improve the entire logistics ecosystem of the country. Similarly initiatives like PM Gatishakti National Master Plan, which aims at developing our infrastructure smarter; ONDC, which aims at democratising E- commerce, GeM which has made a significant impact for government procurement - all these are leveraging Artificial Intellegence to bring efficiency and better delivery of services.

Stating that the AI revolution is here to stay, he added that with the meaningful contribution by industry, startups, incubators and academia, India is going to emerge as the hub of the artificial intelligence revolution across the world. He urged the young minds to inculcate the spirit of inquiry and start thinking of different ways the AI technologies can be harnessed to bring prosperity in our day to day life. He asked them to explore how AI can play a crucial role in empowering the lives of farmers, fishermen and the MSME sector.

The third AI Summit has been organised by AICRA and is focusing on the areas of defence, healthcare, agriculture, smartcities, mobility and education in partnership with the government. The aim is to develop a roadmap on how to use AI ecosystem and startups for the benefit of society. The 3rd annual conference has set up multidisciplinary groups to break down the silos in which different stakeholders have been working and to find technological solutions for the key sectors of our society, according to a press release.

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Artificial Intelligence to act as catalyst in India's transformation into a developed nation by 2047: Piyush.. - ETCIO

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Faculty Position in Artificial Intelligence and Advanced Computing job with XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) | 311882 – Times Higher…

Position Title: Faculty Position in Artificial Intelligence and Advanced Computing

Position Information: Open Rank

School: School of AI and Advanced Computing, XJTLU Entrepreneur College

Academic Discipline: Computer science, data science, artificial intelligence, networking and communication, systems engineering.

Location: Taicang, Greater Suzhou, China

ABOUT XJTLU

In 2006 Xian Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xian Jiaotong University a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has over 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the Peoples Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses.

With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east.

For detailed information about the university, please visitwww.xjtlu.edu.cn.

ABOUT ENTREPRENEUR COLLEGE (TAICANG)

In 2019, XJTLU launched Entrepreneur College, which was build and developed in collaboration with the Taicang Municipal Government and industry partners. In September 2022, XJTLU Entrepreneur College just moved to a new campus in Taicang, part of Greater Suzhou, which also won the WAN Awards for the campus design. The XJTLU Entrepreneur College are a pioneers of, and an educational model for, the future college in developing talents and leaders to meet local, national, and global challenges from the 4th Industrial Revolution. As a result, there are opportunities at all levels for innovative academics in the fields represented by the following schools and education platforms:

ABOUT THE SCHOOL OF AI AND ADVANCED COMPUTING

The School of AI and Advanced Computing is one of the 7 industry-themed Schools in the XJTLU Entrepreneur College (Taicang). Each School consists of an Education, Research and Development Institute (ERDI) for teaching and university-business research collaboration, a professional services centre supporting daily activities of students, staff, and business partners, and a School Affiliated Company jointly established by XJTLU and the Schools industry partner for practical on-the-job learning and teaching.

Industry Partner Overview

The current major partner in collaboration with XJTLU to co-develop the School of AI and Advanced Computing is SUGON.

Sugon is a leading enterprise in the field of high-performance computing, server, storage, cloud computing and big data in China. It is a national high-tech enterprise formed on the foundations of the significant scientific and technological achievements made under the National 863 Programme and with the strong support of the Chinese Academy of Sciences. More information please see https://www.sugon.com/en.

Personal Attributes

The School of AI and Advanced Computing is adopting a new higher education model based upon the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial Revolution. The model is core to the Universitys strategy for its next ten-year development focusing on innovation and entrepreneurship. SE aims to train syntegrative leaders with Management skills, International perspective, Discipline-specific knowledge, and adaptability in Industry (MIDI).

The position will attract individuals embodying these SE values and are passionate in engaging in a future-focused co-learning ecosystem comprising students, academics, practitioners, university, industry, and community. The School seeks academic members who thrive by creating impact through authentic engagement, cross-boundary collaboration, collective learning and discovery, and action-oriented inquiries. These creative educators adopt a systems mindset and use their knowledge, skills, and experiences to co-design and deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process.

RESPONSIBILITIES

We are looking for future colleagues from candidates in all the fields of computer science, data science, artificial intelligence, machine learning, networking and communication, and systems engineering who can:

ESSENTIAL QUALIFICATIONS/EXPERIENCES

DESIRABLE QUALIFICATIONS/EXPERIENCE

CITIZENSHIP AND VISA REGULATIONS

Employment at Xian Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China.

CAREER DEVELOPMENT

COPENSATION & BENEFITS

SALARY: Competitive salary in the market

BENEFITS

HOW TO APPLY

Please submit your application on our university website:

https://career15.sapsf.cn/career?career_company=xjtlu

Applications must be submitted in a single pdf file that includes 3 parts in the order of:

For specific enquiries relating to the position, please email to Professor Angelos Stefanidis, Dean of School by email on Angelos.Stefanidis@xjtlu.edu.cn. or to HRBP on Mingyu.Yuan@xjtlu.edu.cn.

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Faculty Position in Artificial Intelligence and Advanced Computing job with XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) | 311882 - Times Higher...

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Quantum physics forces us to make really weird choices – Big Think

On Tuesday, the 2022 Nobel Prize in Physics was awarded to three researchers: Alain Aspect, John F. Clauser and Anton Zeilinger. These scientists work opened up new frontiers in quantum weirdness to study. What their findings also showed is that the most philosophically challenging aspects of quantum mechanics are also its most essential. Those challenges mean that anyone taking quantum mechanics seriously is faced with strange choices in thinking about the nature of reality and our place in it. That is what I want to focus on today.

To be explicit, the three physicists share their prize for their studies of quantum entanglement. When particles are entangled, they can no longer be thought of as having separate properties. Imagine I have two particles with properties that I cannot know before I take measurements of them. But if the particles are entangled, then a measurement of just one out of the pair instantly establishes what a measurement on the other would produce. This is true even if the particles are separated by a distance so large that there would be no chance for them to communicate in the time it would take to measure one and then the other. In this way, entangled particles seem to form a coherent whole across space and time.

Entanglement is exactly the kind of spooky action at a distance that Einstein was famously concerned about in quantum mechanics. Its why he felt quantum theory was somehow incomplete, meaning there must be something about it we have yet to understand.

What Einstein wanted was a physics that returned us to a classical view of reality a view where things have their own distinct properties, regardless of whether a measurement of those properties was made or not. In 1964 Irish physicist John Stewart Bell proposed a way to clearly differentiate Einsteins vision of reality from the spookier quantum version. Measuring entanglement was the key. It took a few decades, but eventually measurements of separate entangled particles became commonplace, and in every experiment, Einstein lost. Reality really is spooky.

But what exactly is that spookiness telling us? The answer is that no one knows. Unlike classical physics, quantum mechanics always requires an interpretation to be pinned on top of mathematical formalism. Whereas Newtonian physicists could easily imagine their laws of motion governing atoms that acted just like tiny billiard balls, quantum physicists never had any such assurance. The heart of the dilemma comes with the role of measurement. Quantum mechanics is famous for its wave-particle duality, where an electron, for example, will behave as a wave or a particle depending on which kind of experiment you perform. Its the choice of measurement of a wave kind or a particle kind that seems to determine the result.

So, is the electron a wave spread out through space, or is it a particle holding just a single position at any one time? And why should the choice made by a measurer have any effect? What is a measurement anyway, and what is a measurer? Is it always a person an observer or does any interaction with any kind of thing count? The answers to these questions cannot be found in the mathematical theory at least not yet. That leaves people to interpret the mathematics according to the features of the reality they think the mathematics must express. But the problem is that no one agrees on which interpretation is correct, and the interpretations can vary wildly. And the spookiness of quantum cannot be made to go away every interpretation is forced to accept something about reality that seems really, really weird.

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For example, the Many Worlds Interpretation of quantum mechanics holds that there is still a reality out there independent of measurers, but there is a price paid for this view. Every measurement in other words, every interaction with anything forces the Universe to split into a near infinity of copies. Each of these many worlds holds one of the possible measurement results.

In Quantum Bayesianism, on the other hand, the measurements of quantum mechanics never reveal the world in itself, but our interactions with the world. QBism has no problem explaining the importance of measurements, but it gives up on the dream (or fantasy) of a perfectly objective view of reality. As you can see, the Many Worlds interpretation is very different from Quantum Bayesianism. But each shows the kinds of choices you must make when you try to ask what quantum mechanics tells us about reality. If someone could tell us which choice we simply have to make, well, that would be worth another Nobel Prize.

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Quantum physics forces us to make really weird choices - Big Think

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First Experimental Proof That Quantum Entanglement Is Real – SciTechDaily

Scientists, including Albert Einstein and Erwin Schrdinger, first discovered the phenomenon of entanglement in the 1930s. In 1972, John Clauser and Stuart Freedman were the first to prove experimentally that two widely separated particles can be entangled.

A Q&A with Caltech alumnus John Clauser on his first experimental proof of quantum entanglement.

When scientists, including Albert Einstein and Erwin Schrdinger, first discovered the phenomenon of entanglement in the 1930s, they were perplexed. Disturbingly, entanglement required two separated particles to remain connected without being in direct contact. In fact, Einstein famously called entanglement spooky action at a distance, because the particles seemed to be communicating faster than the speed of light.

Born on December 1, 1942, John Francis Clauser is an American theoretical and experimental physicist known for contributions to the foundations of quantum mechanics, in particular the ClauserHorneShimonyHolt inequality. Clauser was awarded the 2022 Nobel Prize in Physics, jointly with Alain Aspect and Anton Zeilinger for experiments with entangled photons, establishing the violation of Bell inequalities and pioneering quantum information science.

To explain the bizarre implications of entanglement, Einstein, along with Boris Podolsky and Nathan Rosen (EPR), argued that hidden variables should be added to quantum mechanics. These could be used to explain entanglement, and to restore locality and causality to the behavior of the particles. Locality states that objects are only influenced by their immediate surroundings. Causality states that an effect cannot occur before its cause, and that causal signaling cannot propagate faster than light speed. Niels Bohr famously disputed EPRs argument, while Schrdinger and Wendell Furry, in response to EPR, independently hypothesized that entanglement vanishes with wide-particle separation.

Unfortunately, at the time, no experimental evidence for or against quantum entanglement of widely separated particles was available. Experiments have since proven that entanglement is very real and fundamental to nature. Furthermore, quantum mechanics has now been proven to work, not only at very short distances but also at very great distances. Indeed, Chinas quantum-encrypted communications satellite, Micius, (part of the Quantum Experiments at Space Scale (QUESS) research project) relies on quantum entanglement between photons that are separated by thousands of kilometers.

John Clauser standing with his second quantum entanglement experiment at UC Berkeley in 1976. Credit: University of California Graphic Arts / Lawrence Berkeley Laboratory

The very first of these experiments was proposed and executed by Caltech alumnus John Clauser (BS 64) in 1969 and 1972, respectively. His findings are based on Bells theorem, devised by CERN theorist John Bell. In 1964, Bell ironically proved that EPRs argument actually led to the opposite conclusion from what EPR had originally intended to show. Bell demonstrated that quantum entanglement is, in fact, incompatible with EPRs notion of locality and causality.

In 1969, while still a graduate student at Columbia University, Clauser, along with Michael Horne, Abner Shimony, and Richard Holt, transformed Bells 1964 mathematical theorem into a very specific experimental prediction via what is now called the ClauserHorneShimonyHolt (CHSH) inequality (Their paper has been cited more than 8,500 times on Google Scholar.) In 1972, when he was a postdoctoral researcher at the University of California Berkeley and Lawrence Berkeley National Laboratory, Clauser and graduate student Stuart Freedman were the first to prove experimentally that two widely separated particles (about 10 feet apart) can be entangled.

Clauser went on to perform three more experiments testing the foundations of quantum mechanics and entanglement, with each new experiment confirming and extending his results. The FreedmanClauser experiment was the first test of the CHSH inequality. It has now been tested experimentally hundreds of times at laboratories around the world to confirm that quantum entanglement is real.

Clausers work earned him the 2010 Wolf Prize in physics. He shared it with Alain Aspect of the Institut d Optique and Ecole Polytechnique and Anton Zeilinger of the University of Vienna and the Austrian Academy of Sciences for an increasingly sophisticated series of tests of Bells inequalities, or extensions thereof, using entangled quantum states, according to the award citation.

John Clauser at a yacht club. Clauser enjoys sailboat racing in his spare time. Credit: John Dukat

Here, John Clauser answers questions about his historical experiments.

In the 1960s and 70s, experimental testing of quantum mechanics was unpopular at Caltech, Columbia, UC Berkeley, and elsewhere. My faculty at Columbia told me that testing quantum physics was going to destroy my career. While I was performing the 1972 FreedmanClauser experiment at UC Berkeley, Caltechs Richard Feynman was highly offended by my impertinent effort and told me that it was tantamount to professing a disbelief in quantum physics. He arrogantly insisted that quantum mechanics is obviously correct and needs no further testing! My reception at UC Berkeley was lukewarm at best and was only possible through the kindness and tolerance of Professors Charlie Townes [PhD 39, Nobel Laureate 64] and Howard Shugart [BS 53], who allowed me to continue my experiments there.

In my correspondence with John Bell, he expressed exactly the opposite sentiment and strongly encouraged me to do an experiment. John Bells 1964 seminal work on Bells theorem was originally published in the terminal issue of an obscure journal, Physics, and in an underground physics newspaper, Epistemological Letters. It was not until after the 1969 CHSH paper and the 1972 FreedmanClauser results were published in the Physical Review Letters that John Bell finally openly discussed his work. He was aware of the taboo on questioning quantum mechanics foundations and had never discussed it with his CERN co-workers.

Part of the reason that I wanted to test the ideas was because I was still trying to understand them. I found the predictions for entanglement to be sufficiently bizarre that I could not accept them without seeing experimental proof. I also recognized the fundamental importance of the experiments and simply ignored the career advice of my faculty. Moreover, I was having a lot of fun doing some very challenging experimental physics with apparatuses that I built mostly using leftover physics department scrap. Before Stu Freedman and I did the first experiment, I also personally thought that Einsteins hidden-variable physics might actually be right, and if it is, then I wanted to discover it. I found Einsteins ideas to be very clear. I found Bohrs rather muddy and difficult to understand.

In truth, I really didnt know what to expect except that I would finally determine who was rightBohr or Einstein. I admittedly was betting in favor of Einstein but did not actually know who was going to win. Its like going to the racetrack. You might hope that a certain horse will win, but you dont really know until the results are in. In this case, it turned out that Einstein was wrong. In the tradition of Caltechs Richard Feynman and Kip Thorne [BS 62], who would place scientific bets, I had a bet with quantum physicist Yakir Aharonov on the outcome of the FreedmanClauser experiment. Curiously, he put up only one dollar to my two. I lost the bet and enclosed a two-dollar bill and congratulations when I mailed him a preprint with our results.

I was very sad to see that my own experiment had proven Einstein wrong. But the experiment gave a 6.3-sigma result against him [a five-sigma result or higher is considered the gold standard for significance in physics]. But then Dick Holt and Frank Pipkins competing experiment at Harvard (never published) got the opposite result. I wondered if perhaps I had overlooked some important detail. I went on alone at UC Berkeley to perform three more experimental tests of quantum mechanics. All yielded the same conclusions. Bohr was right, and Einstein was wrong. The Harvard result did not repeat and was faulty. When I reconnected with my Columbia faculty, they all said, We told you so! Now stop wasting money and go do some real physics. At that point in my career, the only value in my work was that it demonstrated that I was a reasonably talented experimental physicist. That fact alone got me a job at Lawrence Livermore National Lab doing controlled-fusion plasma physics research.

In order to clarify what the experiments showed, Mike Horne and I formulated what is now known as ClauserHorne Local Realism [1974]. Additional contributions to it were subsequently offered by John Bell and Abner Shimony, so perhaps it is more properly called BellClauserHorneShimony Local Realism. Local Realism was very short-lived as a viable theory. Indeed, it was experimentally refuted even before it was fully formulated. Nonetheless, Local Realism is heuristically important because it shows in detail what quantum mechanics is not.

Local Realism assumes that nature consists of stuff, of objectively real objects, i. e., stuff you can put inside a box. (A box here is an imaginary closed surface defining separated inside and outside volumes.) It further assumes that objects exist whether or not we observe them. Similarly, definite experimental results are assumed to obtain, whether or not we look at them. We may not know what the stuff is, but we assume that it exists and that it is distributed throughout space. Stuff may evolve either deterministically or stochastically. Local Realism assumes that the stuff within a box has intrinsic properties, and that when someone performs an experiment within the box, the probability of any result that obtains is somehow influenced by the properties of the stuff within that box. If one performs say a different experiment with different experimental parameters, then presumably a different result obtains. Now suppose one has two widely separated boxes, each containing stuff. Local Realism further assumes that the experimental parameter choice made in one box cannot affect the experimental outcome in the distant box. Local Realism thereby prohibits spooky action-at-a-distance. It enforces Einsteins causality that prohibits any such nonlocal cause and effect. Surprisingly, those simple and very reasonable assumptions are sufficient on their own to allow derivation of a second important experimental prediction limiting the correlation between experimental results obtained in the separated boxes. That prediction is the 1974 ClauserHorne (CH) inequality.

The 1969 CHSH inequalitys derivation had required several minor supplementary assumptions, sometimes called loopholes. The CH inequalitys derivation eliminates those supplementary assumptions and is thus more general. Quantum entangled systems exist that disagree with the CH prediction, whereby Local Realism is amenable to experimental disproof. The CHSH and CH inequalities are both violated, not only by the first 1972 FreedmanClauser experiment and my second 1976 experiment but now by literally hundreds of confirming independent experiments. Various labs have now entangled and violated the CHSH inequality with photon pairs, beryllium ion pairs, ytterbium ion pairs, rubidium atom pairs, whole rubidium-atom cloud pairs, nitrogen vacancies in diamonds, and Josephson phase qubits.

Testing Local Realism and the CH inequality was considered by many researchers to be important to eliminate the CHSH loopholes. Considerable effort was thus marshaled, as quantum optics technology improved and permitted. Testing the CH inequality had become a holy grail challenge for experimentalists. Violation of the CH inequality was finally achieved first in 2013 and again in 2015 at two competing laboratories: Anton Zeilingers group at the University of Vienna, and Paul Kwiats group at the University of Illinois at UrbanaChampaign. The 2015 experiments involved 56 researchers! Local Realism is now soundly refuted! The agreement between the experiments and quantum mechanics now firmly proves that nonlocal quantum entanglement is real.

One application of my work is to the simplest possible object defined by Local Realisma single bit of information. Local Realism shows that a single quantum mechanical bit of information, a qubit, cannot always be localized in a space-time box. This fact provides the fundamental basis of quantum information theory and quantum cryptography. Caltechs quantum science and technology program, the 2019 $1.28-billion U.S. National Quantum Initiative, and the 2019 $400 million Israeli National Quantum Initiative all rely on the reality of entanglement. The Chinese Micius quantum-encrypted communications satellite systems configuration is almost identical to that of the FreedmanClauser experiment. It uses the CHSH inequality to verify entanglements persistence through outer space.

My dad, Francis H. Clauser [BS 34, MS 35, PhD 37, Distinguished Alumni Award 66] and his brother Milton U. Clauser [BS 34, MS 35, PhD 37] were PhD students at Caltech under Theodore von Krmn. Francis Clauser was Clark Blanchard Millikan Professor of Engineering at Caltech (Distinguished Faculty Award 80) and chair of Caltechs Division of Engineering and Applied Science. Milton U. Clausers son, Milton J. Clauser [PhD 66], and grandson, Karl Clauser [BS 86] both went to Caltech. My mom, Catharine McMillan Clauser was Caltechs humanities librarian, where she met my dad. Her brother, Edwin McMillan [BS 28, MS 29], is a Caltech alum and 51 Nobel Laureate. The family now maintains Caltechs Milton and Francis Doctoral Prize awarded at Caltech commencements.

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Carlo Rovelli on the bizarre world of relational quantum mechanics – New Scientist

Physicist Carlo Rovelli explains the strange principles of relational quantum mechanics - which says objects don't exist in their own right - and how it could unlock major progress in fundamental physics

By Michael Brooks

Carlo Rovelli at the Cornelia Parker exhibition, Tate Britain

David Stock

Carlo Rovelli stands in front of an exploding shed. Fragments of its walls and shattered contents parts of a childs tricycle, a record player, a shredded Wellington boot hang in mid-air behind him. I have come to meet the physicist and bestselling author at an exhibition at the Tate Britain art gallery in London. The scattered objects are the work of Cornelia Parker, one of the UKs most acclaimed contemporary artists, known for her large-scale installations that reconfigure everyday objects.

For Rovelli, based at Aix-Marseille University in France, Parkers work is meaningful because it mirrors his take on the nature of reality. I connect with the process: of her coming up with the idea, producing the idea, telling us about the idea and of us reacting to it, he tells me. We dont understand Cornelia Parkers work just by looking at it, and we dont understand reality just by looking at objects.

Rovelli is an advocate of an idea known as relational quantum mechanics, the upshot of which is that objects dont exist independently of each other. It is a concept that defies easy understanding, so Parkers reality-challenging exhibition seemed like it might be a helpful setting for a conversation about it and about what else Rovelli is up to. It is a happy coincidence that Parkers shed is called Cold Dark Matter, a reference to the unidentified stuff that is thought to make up most of the universe. Because Rovelli now thinks he knows how we might finally pin

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Crypto Analyst Predicts Further Rallies for Two Explosive Altcoins, Updates Bitcoin Forecast – The Daily Hodl

A popular crypto strategist and trader is predicting more rallies to come for two low-cap altcoins that have recently shown strength.

The pseudonymous analyst known in the industry as Altcoin Sherpa tells his 184,400 Twitter followers that decentralized derivatives exchange Injective Protocol (INJ) is the gift that keeps on giving.

This entire area ($2.00) is a big supply zone. With that said, its been tapped several times the last few weeks, and I think a lot of sellers are gone around $2. Im riding this one until $2.50, entry around $1.80

At time of writing, INJ is trading at $1.93, up over 8% in the last seven days. A move to Altcoin Sherpas target suggests an upside potential of nearly 30% for INJ.

Another altcoin on the traders radar is SushiSwap (SUSHI), also a decentralized exchange protocol. According to Altcoin Sherpa, SUSHI is facing some resistance at current levels but he believes that the altcoin will continues to rally toward his target.

SUSHI: Current area is scary bit I still think it probably goes to $1.60 eventually.

At time of writing, SUSHI is swapping hands for $1.38, an over 22% increase in the past seven days.

As for Bitcoin (BTC), the popular analyst predicts a move down to the $18,000 level if the king crypto fails to hold the equilibrium of its range at around $19,500.

Two scenarios that Im eyeing. This is an unclear area for now. Conflicting signals and the exponential moving averages are all right near price; theoretically should provide some support, but when price is flipping between EMAs so consistently, its less likely to be strong support or resistance, in my opinion.

At time of writing, Bitcoin is valued at $19,412, flat on the day and below Altcoin Sherpas range equilibrium.

Featured Image: Shutterstock/Tithi Luadthong/Natalia Siiatovskaia

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Crypto Analyst Predicts Further Rallies for Two Explosive Altcoins, Updates Bitcoin Forecast - The Daily Hodl

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Terra (LUNA) Price Prediction 2025-2030: Altcoin may have $50 in its sights if – AMBCrypto News

Disclaimer: The datasets shared in the following article have been compiled from a set of online resources and do not reflect AMBCryptos own research on the subject.

The Terra USD stablecoin and the LUNA coin, both introduced in 2019, were created by Terraform Labs. TerraUSD used to be pegged to LUNA to stabilize its price. There have been many ups and downs in the voyage of this pair of coins, UST and LUNC. Do Kwon and Daniel Shin, two South Korean businessmen, launched Terraform Labs in Seoul in 2018. They introduced UST, a native stablecoin tied to LUNA, in 2019.

Heres AMBCryptos Price Prediction for LUNA for 2023-24

Stablecoins like UST were introduced to protect investors from the extreme price volatility of popular cryptocurrencies like Bitcoin. Especially since a stablecoin has a fixed price.

As fiat currency is pegged to reserves such as gold, a stablecoin is pegged to either a fiat currency (e.g. USD) or a supporting cryptocurrency. In this case, TerraUSD was pegged to Luna. But herein lies the conflict. A cryptocurrency isnt an equivalent to gold reserves. As Luna prices got destabilized, it had an impact on UST prices too, and the entire stablecoin system collapsed in the second quarter of 2022.

The stablecoin project was aimed at complementing the price stability and wide adoption of fiat currencies with the decentralized model of cryptocurrency.

Even those who are only vaguely familiar with the cryptocurrency industry know of the apocalyptic collapse of LUNA and UST in May 2022. This collapse was crucial in instigating the cryptocurrency crisis thereafter.

LUNA was one of the markets top performers once, with the altcoin once among the top 10 cryptocurrencies by market value towards the end of 2021.

A Bloomberg report from May 2022 sheds light on the further developments that transpired. It was in early May 2022 that the Terra system collapsed as large investors began selling their tokens. The move caused a huge drop in the price of the coins. While the price of UST fell to $0.10, LUNAs price fell to almost zilch.

The cryptocurrency market lost around $45 billion within a week in the ensuing bloodbath, leading to a global crash in the market. The leadership of the Terra system hoped to buy Bitcoin reserves to buy more UST and LUNA coins so that their prices can be stabilized, but the plan didnt work.

Thousands of investors across the globe lost significant amounts due to the mishap. In the immediate aftermath, the Korean National Tax Service imposed $78.4 million in corporate and income tax on Do Kwon and Terraform Labs after a Terra investor filed a police complaint against the co-founder.

In fact, an affected investor even broke into Kwons house in South Korea. His wife then sought security from the police.

In July 2022, News1 Korea reported that South Korean prosecutors raided 15 firms, including seven cryptocurrency exchanges in relation to the investigation around the Terraform collapse. More than 100 people who filed complaints with the prosecutors office reportedly had losses totaling roughly $8 million.

Only a few days back, Financial Times reported that South Korean prosecutors have reportedly asked Interpol to issue a Red Notice against Kwon. Kwon, however, tweeted that he is not on the run from any interested government agency. He added that the company is in full cooperation and it doesnt have anything to hide.

Many from the industry had been warning the cryptocurrency community about the upcoming doom. Kevin Zhou, CEO of Galois Capital, was one such individual. He said that the result was inevitable as the mechanism was flawed, and it didnt play out as expected However, most people didnt pay any heed.

On May 25, Bloomberg reported that a new version of LUNA was launched following a hard fork, with the new LUNA coin no longer associated with the devalued UST coin. The older currency is called Luna Classic (LUNC) and the newer one is called Luna 2.0 (LUNA). Though the older cryptocurrency has not been entirely replaced, its community might slowly dissolve as more and more users move to LUNA 2.0.

The new initiative included an airdrop of new LUNA tokens to those who held Luna Classic (LUNC) and UST tokens and suffered. A significant portion of the minted currency is to be reserved for development and mining operations. Currently, there is a supply of 1 billion LUNA tokens.

Recently, the 1.2% tax burn proposal, dubbed proposal #4661, passed the governance vote, as confirmed in a tweet by proposal author Edward Kim. The move was confirmed by Terra Rebels that tweeted that out of 96% cast votes, 99% favoured the 1.2% tax burns.

The collapse of the twin coins proved to be a harbinger of increased government regulations, if not downright opposition, in the cryptocurrency industry. The anonymous model of the industry, much touted to be the foundation of the decentralized cryptocurrency market, was once embraced by all. However, the moment people lost their investments, they rushed to government authorities for redressal.

This is when government financial authorities found the opportunity to push for implementing rules and regulations in the crypto-industry to tackle price volatility, money laundering etc.

The entry of corporate institutions with government oversight into the industry had already set the tone for what was to come. But this collapse furthered this trend. Now, cryptocurrency entities, whether large or small, will likely be overseen by central banks across the globe. In such scenarios, it will be critical to observe how the industry manages to uphold its anonymous and decentralized nature.

A recent Bloomberg report says that an upcoming legislation would ban algorithmic stablecoins such as TerraUSD the collapse of which led to a global crypto crash. The said bill is currently being drafted in the U.S. House. The bill would make it illegal to develop or issue new endogenously collateralized stablecoins.

In a recent interview, Kwon said that his confidence at that time was justified as the market success of his Terra ecosystem was inching close to $100 billion, but his faith now seems super irrational. He admitted the possibility of a mole being there in the organization, but added, I, and I alone, am responsible for any weaknesses that could have been presented for a short seller to start to take profit.

The future of LUNA is a very critical matter for the entire cryptocurrency industry. Launched as a part of the regeneration strategy, its performance so far has not exactly been celebratory.

Transactions on the Terra 2.0 blockchain are validated through the proof-of-stake (PoS) consensus mechanism. The network has 130 validators working at a given point of time. As a PoS platform, the power of the validator is linked to the amount of tokens staked.

How LUNA trades will determine the course of not only this particular cryptocurrency, but a number of stablecoins in the market. If it succeeds in gaining the trust of investors, the venture will go a long way in furthering the cause of the asset class of stablecoins.

In this article, we will lay down the key performance metrics of LUNA such as its price and market capitalization. We will then summarize what the most prominent crypto-influencers and analysts have to say about LUNAs performance, along with its Fear & Greed Index. We will also briefly talk about whether you should invest in the stablecoin or not.

Beginning its journey at around $19 on 28 May 2022, LUNA quickly dropped below $5 the next day itself. By the end of May 2022, its value was just above $11, but it soon spiralled south as June began.

Over the next few months, the value of LUNA kept oscillating between $1.7 and $2.5. At the time of writing, the altcoin was trading at $2.51 after its brief recovery evaporated.

Similarly, its market capitalization isnt as high as it once was. Back in June 2022, its market cap was over $300 million, but it kept oscillating between below $210 and $300 during much of July.

The crisis that unfolded following the collapse of the twin coins impacted the course of the entire market. LUNA has particularly been vulnerable to the volatile market conditions. The Russia-Ukraine crisis and increasing crypto-regulations across the globe have also curtailed the movement of the market.

Before reading further, readers should understand that market predictions of different cryptocurrency analysts can widely vary. And, a good number of times, these predictions prove wrong. Different analysts choose different sets of parameters to arrive at their forecasts. Also, nobody can foresee unpredictable socio-political events that ultimately end up affecting the market.

Let us now have a look at what different analysts have to say about the future of LUNA in 2025.

A Changelly blogpost claimed that experts, after analyzing the previous performance of Terra, have predicted that the price of LUNA will oscillate between $7.26 and $8.62. Its average trading cost during the said year will be around $7.46, with a potential ROI of 384%, they added.

Telegaon too is very bullish in its assessment of the future of LUNA, with its maximum and minimum prices in 2025 being $52.39 and $69.18. It predicts its average price in the said year to be $61.72.

The aforementioned Changelly blogpost stated that the maximum and minimum prices of LUNA in 2030 will be $48.54 and $57.68. The average price of LUNA in the said year will be $50.24, with a potential ROI of 3,140%.

Now, the aforementioned are more recent predictions. Before the events of the last few months, analysts were way more optimistic about the fortunes of LUNA.

Consider Finders panel of experts, for instance. In fact, they forecasted a price of $390 by 2025 and $997 by 2030.

The likes of Digital Capital Managements Ben Ritchie claimed, The LUNA token will continue to gain traction as long as there are no clear regulations in stablecoins. We believe that LUNA and UST will have an advantage and be adopted as a major stablecoin across the crypto space. LUNA is burnt to mint a UST, so if the adoption of UST grows, the LUNA will benefit greatly. Having Bitcoin as a reserve asset is a great decision by the Terra governance.

There were contrary opinions too. According to Dimitrios Salampasis,

Algorithmic stablecoins are considered as being inherently fragile and are not stable at all. In my opinion, LUNA will be existing in a state of perpetual vulnerability.

Thats not all. In fact, at one point of time, there was also talk of Terra emerging as the most staked asset.

If you are considering investing in LUNA, you should understand that it has entered the market following a significant crisis. It is still not listed on a lot of exchanges due to market fear.

We will also have to see how the community of LUNA developers and investors acts in the next few weeks. If they burn enough tokens so as to drive up its price, it can prove to be beneficial for its future. A sustained effort on the part of the cryptocurrency industry, in particular the LUNA community, can go a long way in restoring the trust of investors in the market.

We must again reiterate that market forecasts arent set in stone and can go wildly wrong, particularly in a market as volatile as that of cryptocurrency. Investors should therefore take due caution before investing in LUNA.

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Major Altcoin Crash Is Coming Heres Why and What to Expect – Coinpedia Fintech News

The performance of the cryptocurrency market has been on a downward trend and Bitcoin, Binance Coin, and other cryptocurrencies values have all continued to decrease. The likelihood of the market losing value increases as the downward trend persists.

Before the jobs report, Bitcoin was fluctuating around support near $20,000 but fell to a daily low of $19,336 just hours afterwards. Bulls were able to push its price back up to $19,499 as of the time of writing.

According to Chainslab analytics on TradingView, the most anticipated event throughout those four months was The Merge and ethereum ethereum Blockchain NetworkTechnology Followers : 0 View profile , which saw some extremely nice increases. As money poured into ETH, BTC.D (Bitcoin dominance) hit the support.

For example, ETH at $2,000 and $BNB at $33x backtested the criticals ex-support in August from a technical perspective. The strength and momentum in the Altcoins/BTC pairs receded, but they can reach it again if BTC has another bounce.

From a fundamental standpoint, altcoin rallies have never occurred throughout the last quarter well. Entities such as VCs, MMs, and others that require money for EoY Financial Reports must seize earnings and liquidity. The macro view is also detrimental to tech startups globally, making it more difficult for altcoins to hold another significant rally.

Naturally, there are still several other coins with solid gains or a 510% price increase. However, BTC.D is expected to reach a level of 48%, and $BTC is likely to remind the market as a whole of who the king of this sector is. Perhaps ETH/BTC will start at 0.055x once more.

Despite all the volatility and commotion the cryptocurrency market has seen over the last two months, Bitcoin has mostly moved in a sideways fashion close to its 200-week moving average (MA), which has traditionally been a favorable buying opportunity.

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Major Altcoin Crash Is Coming Heres Why and What to Expect - Coinpedia Fintech News

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